pith. sign in

arxiv: 1907.02941 · v1 · pith:K7Y5S6AInew · submitted 2019-07-03 · 💻 cs.IT · math.IT

A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications

Pith reviewed 2026-05-25 10:16 UTC · model grok-4.3

classification 💻 cs.IT math.IT
keywords spatial modulationMIMO systemsspectral efficiencyenergy efficiencyantenna selectionRF chain reductionemerging wireless systemsmulti-domain modulation
0
0 comments X

The pith

Spatial modulation conveys extra data by turning specific antennas on or off while using fewer radio frequency chains.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This survey presents spatial modulation as a digital modulation approach that encodes information in the choice of which transmit antenna is active, in addition to conventional symbol modulation. The core idea is to activate only one antenna at a time, which reduces the number of required radio frequency chains and thereby improves the trade-off between spectral efficiency and energy efficiency. The paper reviews the basic principles, multiple system variants, performance enhancements, combinations with other wireless techniques, uses in emerging networks, and extensions of the same concept into frequency, time, code, or angle domains.

Core claim

Spatial modulation is an innovative and promising digital modulation technology that strikes an appealing trade-off between spectral efficiency and energy efficiency with a simple design philosophy. The key idea behind SM is to convey additional information typically through the ON/OFF states of transmit antennas and simultaneously save the implementation cost by reducing the number of radio frequency chains. As a result, the SM concept can have widespread effects on diverse applications and can be applied in other signal domains such as frequency/time/code/angle domain or even across multiple domains.

What carries the argument

Spatial modulation, a scheme that maps part of the information bits to the index of an active transmit antenna (while keeping only one radio frequency chain active) and the remaining bits to a conventional constellation symbol.

If this is right

  • SM variants can be combined with other techniques such as MIMO or OFDM to further improve overall system performance.
  • The approach extends naturally to emerging wireless systems including those targeting 5G and beyond.
  • The same on-off activation principle can be ported to frequency, time, code, or angle domains for new modulation families.
  • Integration across multiple domains simultaneously becomes feasible once the single-domain versions are established.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • If hardware cost savings from fewer RF chains prove reliable at scale, SM could become attractive for massive antenna deployments where power and complexity are limiting factors.
  • The survey's emphasis on multi-domain extensions suggests a natural next step of testing hybrid time-frequency SM in integrated sensing and communication scenarios.
  • Because the paper stops at 2019, an immediate practical extension would be to re-run the same classification on post-2019 results to check whether the reported trade-offs remain stable.

Load-bearing premise

The survey's selection of literature up to 2019 is sufficiently complete and representative to serve as a reliable overview of the field.

What would settle it

Publication of a later survey that documents major SM techniques or applications developed after 2019 and absent from this overview would show the claimed completeness does not hold.

Figures

Figures reproduced from arXiv: 1907.02941 by Beixiong Zheng, Kwang-Cheng Chen, Kyeong Jin Kim, Marco Di Renzo, Miaowen Wen, Naofal Al-Dhahir, Theodoros A. Tsiftsis.

Figure 1
Figure 1. Figure 1: Transmitter diagram for the SM system. the index of the active transmit antenna and then demodulate the constellation symbol carried on the active transmit antenna [67]–[72]. As a result, the size of the search space is reduced from O(NT ∗ M) to O(NT + M). Although the two-step decoupled/separate detectors have smaller search complexity, they usually suffer from performance degradation compared with the op… view at source ↗
Figure 2
Figure 2. Figure 2: Transmitter diagram for the (G)SM system. [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: BER performance comparison in the coded (G)SM system [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Transmitter diagram for the (D)SM system. [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
Figure 7
Figure 7. Figure 7: BER performance of (D)SM with NT = 3 and NT = 4 at 3 bps/Hz transmission rate, where “Q” and “8” in the legend denote QPSK and 8PSK, respectively. coding is applied, where the Trotter-Johnson ranking and un￾ranking theory is adopted to perform index permutations [119]. To capture the full transmit-diversity of (D)SM, schemes that use cyclic signal constellation and algebraic field extensions are developed … view at source ↗
Figure 8
Figure 8. Figure 8: Transmitter diagram for (G)SM aided mmWave communic [PITH_FULL_IMAGE:figures/full_fig_p011_8.png] view at source ↗
read the original abstract

Spatial modulation (SM) is an innovative and promising digital modulation technology that strikes an appealing trade-off between spectral efficiency and energy efficiency with a simple design philosophy. SM enjoys plenty of benefits and shows great potential to fulfill the requirements of future wireless communications. The key idea behind SM is to convey additional information typically through the ON/OFF states of transmit antennas and simultaneously save the implementation cost by reducing the number of radio frequency chains. As a result, the SM concept can have widespread effects on diverse applications and can be applied in other signal domains such as frequency/time/code/angle domain or even across multiple domains. This survey provides a comprehensive overview of the latest results and progresses in SM research. Specifically, the fundamental principles, variants of system design, and enhancements of SM are described in detail. Furthermore, the integration of the SM family with other promising techniques, applications to emerging communication systems, and extensions to new signal domains are also extensively studied.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. This survey paper claims that spatial modulation (SM) is an innovative digital modulation technology offering an appealing trade-off between spectral efficiency and energy efficiency via a simple design philosophy that conveys information through the ON/OFF states of transmit antennas while reducing the number of RF chains. It provides a comprehensive overview of SM research up to 2019, detailing fundamental principles, variants of system design, performance enhancements, integration with other techniques, applications in emerging wireless systems, and extensions to new signal domains such as frequency, time, code, and angle domains.

Significance. If the cited literature is represented accurately and the selection is representative, the survey could serve as a useful reference synthesizing progress on SM for researchers in MIMO and modulation techniques. The paper does not present new derivations or results but organizes existing work; its value lies in breadth of coverage rather than novelty of claims.

minor comments (2)
  1. [Abstract] Abstract: the phrase 'latest results' is time-bound to the 2019 submission; consider adding an explicit statement of the literature cutoff date for clarity in future updates.
  2. [Abstract] The structure description in the abstract lists topics but does not indicate the number of sections or how variants vs. enhancements are delineated; a brief outline of section headings would improve navigation.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive and constructive review. We are pleased that the survey is viewed as a useful reference for researchers in MIMO and modulation techniques, and we appreciate the recommendation to accept.

Circularity Check

0 steps flagged

No significant circularity in survey paper

full rationale

This is a survey paper whose content consists of summarizing and organizing prior literature on spatial modulation. No original equations, derivations, predictions, or quantitative claims are advanced by the authors themselves. The abstract and structure describe principles, variants, and integrations drawn from cited works without any self-referential reduction of results to inputs or fitted parameters. No load-bearing steps match any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

As a survey paper the central claim rests on the completeness of the literature selection rather than new axioms, parameters, or entities; no free parameters, axioms, or invented entities are introduced.

pith-pipeline@v0.9.0 · 5720 in / 959 out tokens · 24569 ms · 2026-05-25T10:16:08.524613+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

269 extracted references · 269 canonical work pages · 1 internal anchor

  1. [1]

    An overview of massive MIMO: Benefits and challenges,

    L. Lu, G. Y . Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zh ang, “An overview of massive MIMO: Benefits and challenges,” IEEE J. Sel. Areas Commun., vol. 8, no. 5, pp. 742–758, Oct. 2014. 17

  2. [2]

    What will 5G be?

    J. G. Andrews, S. Buzzi, W. Choi, S. V . Hanly, A. Lozano, A. C. K. Soong, and J. C. Zhang, “What will 5G be?” IEEE J. Sel. Areas Commun. , vol. 32, no. 6, pp. 1065–1082, Jun. 2014

  3. [3]

    V . W. Wong, R. Schober, D. W. K. Ng, and L.-C. Wang, Key technologies for 5G wireless systems . Cambridge university press, 2017

  4. [4]

    5G wireless access: Requirements and realization,

    E. Dahlman, G. Mildh, S. Parkvall, J. Peisa, J. Sachs, Y . S eln, and J. Skld, “5G wireless access: Requirements and realization,” IEEE Commun. Mag., vol. 52, no. 12, pp. 42–47, Dec. 2014

  5. [5]

    Spatial modulat ion - a new low complexity spectral efficiency enhancing technique,

    R. Mesleh, H. Haas, C. W. Ahn, and S. Y un, “Spatial modulat ion - a new low complexity spectral efficiency enhancing technique,” i n Proc. IEEE Int. Conf. Commun. Netw. in China , Beijing, China, Oct. 2006, pp. 1–5

  6. [6]

    Spatial modulation,

    R. Y . Mesleh, H. Haas, S. Sinanovic, C. W. Ahn, and S. Y un, “ Spatial modulation,” IEEE Trans. V eh. Technol., vol. 57, no. 4, pp. 2228–2241, Jul. 2008

  7. [7]

    Spa- tial modulation for generalized MIMO: Challenges, opportu nities, and implementation,

    M. D. Renzo, H. Haas, A. Ghrayeb, S. Sugiura, and L. Hanzo, “Spa- tial modulation for generalized MIMO: Challenges, opportu nities, and implementation,” Proc. IEEE , vol. 102, no. 1, pp. 56–103, Jan. 2014

  8. [8]

    Spatial modulation for multiple- antenna wireless systems: A survey,

    M. Di Renzo, H. Haas, and P . M. Grant, “Spatial modulation for multiple- antenna wireless systems: A survey,” IEEE Commun. Mag. , vol. 49, no. 12, pp. 182–191, Dec. 2011

  9. [9]

    Design g uidelines for spatial modulation,

    P . Y ang, M. Di Renzo, Y . Xiao, S. Li, and L. Hanzo, “Design g uidelines for spatial modulation,” IEEE Commun. Surveys Tuts. , vol. 17, no. 1, pp. 6–26, First quarter 2015

  10. [10]

    Single-carrier SM-MIMO: A promising de sign for broadband large-scale antenna systems,

    P . Y ang, Y . Xiao, Y . L. Guan, K. V . S. Hari, A. Chockalinga m, S. Sugiura, H. Haas, M. Di Renzo, C. Masouros, Z. Liu, L. Xiao, S. Li, and L. Hanzo, “Single-carrier SM-MIMO: A promising de sign for broadband large-scale antenna systems,” IEEE Commun. Surveys Tuts. , vol. 18, no. 3, pp. 1687–1716, Third quarter 2016

  11. [11]

    En ergy evalua- tion of spatial modulation at a multi-antenna base station,

    A. Stavridis, S. Sinanovic, M. Di Renzo, and H. Haas, “En ergy evalua- tion of spatial modulation at a multi-antenna base station, ” in Proc. IEEE V eh. Technol. Conf. (VTC Fall) , Las V egas, NV , USA, Sept. 2013, pp. 1–5

  12. [12]

    An energy saving base station employing spatial modulation,

    A. Stavridis, S. Sinanovic, M. Di Renzo, H. Haas, and P . G rant, “An energy saving base station employing spatial modulation,” in Proc. IEEE Int. W orkshop on Comput. Aided Modeling and Design of Commun . Links and Netw. (CAMAD) , Barcelona, Spain, Sept. 2012, pp. 231–235

  13. [13]

    Massive but fe w active MIMO,

    D. A. Basnayaka, M. Di Renzo, and H. Haas, “Massive but fe w active MIMO,” IEEE Trans. V eh. Technol., vol. 65, no. 9, pp. 6861–6877, Sept. 2016

  14. [14]

    Performance analysis of massive spa tial modulation MIMO in high-speed railway,

    Y . Cui and X. Fang, “Performance analysis of massive spa tial modulation MIMO in high-speed railway,” IEEE Trans. V eh. Technol., vol. 65, no. 11, pp. 8925–8932, Nov. 2016

  15. [15]

    Space shift keying modulation for MIMO channels,

    J. Jeganathan, A. Ghrayeb, L. Szczecinski, and A. Ceron , “Space shift keying modulation for MIMO channels,” IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3692–3703, Jul. 2009

  16. [16]

    S pace shift keying (SSK) MIMO with practical channel estimates,

    M. D. Renzo, D. D. Leonardis, F. Graziosi, and H. Haas, “S pace shift keying (SSK) MIMO with practical channel estimates,” IEEE Trans. Commun., vol. 60, no. 4, pp. 998–1012, Apr. 2012

  17. [17]

    Sparse signal detection for space shift keyin g using the Monte Carlo EM algorithm,

    J. Choi, “Sparse signal detection for space shift keyin g using the Monte Carlo EM algorithm,” IEEE Signal Process. Lett. , vol. 23, no. 7, pp. 974–978, Jul. 2016

  18. [18]

    Coding-aided K-m eans clustering blind transceiver for space shift keying MIMO sy stems,

    H. W. Liang, W. H. Chung, and S. Y . Kuo, “Coding-aided K-m eans clustering blind transceiver for space shift keying MIMO sy stems,” IEEE Trans. Wireless Commun. , vol. 15, no. 1, pp. 103–115, Jan. 2016

  19. [19]

    Improving the performance of sp ace shift keying (SSK) modulation via opportunistic power allo cation,

    M. Di Renzo and H. Haas, “Improving the performance of sp ace shift keying (SSK) modulation via opportunistic power allo cation,” IEEE Commun. Lett. , vol. 14, no. 6, pp. 500–502, Jun. 2010

  20. [20]

    Bit error probability of space-shift keying MIMO o ver multiple- access independent fading channels,

    ——, “Bit error probability of space-shift keying MIMO o ver multiple- access independent fading channels,” IEEE Trans. V eh. Technol., vol. 60, no. 8, pp. 3694–3711, Oct. 2011

  21. [21]

    Space shift keying (SSK) modulation with partial c hannel state information: Optimal detector and performance analysis ov er fading channels,

    ——, “Space shift keying (SSK) modulation with partial c hannel state information: Optimal detector and performance analysis ov er fading channels,” IEEE Trans. Commun. , vol. 58, no. 11, pp. 3196–3210, Nov. 2010

  22. [22]

    Gene ralised spatial modulation,

    A. Y ounis, N. Serafimovski, R. Mesleh, and H. Haas, “Gene ralised spatial modulation,” in Proc. Conf. Rec. 44th Asilomar Conf. Signals, Syst. Comput , Pacific Grove, CA, USA, Nov. 2010, pp. 1498–1502

  23. [23]

    Generalised s patial mod- ulation with multiple active transmit antennas,

    J. Fu, C. Hou, W. Xiang, L. Y an, and Y . Hou, “Generalised s patial mod- ulation with multiple active transmit antennas,” in Proc. IEEE Globecom W orkshops (GC Wkshps), Miami, FL, USA,, Dec. 2010, pp. 839–844

  24. [24]

    Generalised spatial modul ation system with multiple active transmit antennas and low complexity d etection scheme,

    J. Wang, S. Jia, and J. Song, “Generalised spatial modul ation system with multiple active transmit antennas and low complexity d etection scheme,” IEEE Trans. Wireless Commun. , vol. 11, no. 4, pp. 1605–1615, Apr. 2012

  25. [25]

    Soft demodulatio n algo- rithms for generalized spatial modulation using determini stic sequential monte carlo,

    B. Zheng, X. Wang, M. Wen, and F. Chen, “Soft demodulatio n algo- rithms for generalized spatial modulation using determini stic sequential monte carlo,” IEEE Trans. Wireless Commun. , vol. 16, no. 6, pp. 3953– 3967, Jun. 2017

  26. [26]

    Quadrature spa tial modu- lation,

    R. Mesleh, S. S. Ikki, and H. M. Aggoune, “Quadrature spa tial modu- lation,” IEEE Trans. V eh. Technol. , vol. 64, no. 6, pp. 2738–2742, Jun. 2015

  27. [27]

    Differential spatial modulation,

    Y . Bian, X. Cheng, M. Wen, L. Y ang, H. V . Poor, and B. Jiao, “Differential spatial modulation,” IEEE Trans. V eh. Technol. , vol. 64, no. 7, pp. 3262–3268, Jul. 2015

  28. [28]

    Unified differential spati al modulation,

    N. Ishikawa and S. Sugiura, “Unified differential spati al modulation,” IEEE Wireless Commun. Lett. , vol. 3, no. 4, pp. 337–340, Aug. 2014

  29. [29]

    A low-complexi ty near- ML differential spatial modulation detector,

    M. Wen, X. Cheng, Y . Bian, and H. V . Poor, “A low-complexi ty near- ML differential spatial modulation detector,” IEEE Signal Process. Lett. , vol. 22, no. 11, pp. 1834–1838, Nov. 2015

  30. [30]

    Transmitter preprocessing aided spatial mod ulation for multiple-input multiple-output systems,

    L. Y ang, “Transmitter preprocessing aided spatial mod ulation for multiple-input multiple-output systems,” in Proc. IEEE V eh. Technol. Conf. (VTC Spring) , Y okohama, Japan, May 2011, pp. 1–5

  31. [31]

    Tr ansmit precod- ing for receive spatial modulation using imperfect channel knowledge,

    A. Stavridis, S. Sinanovic, M. Di Renzo, and H. Haas, “Tr ansmit precod- ing for receive spatial modulation using imperfect channel knowledge,” in Proc. IEEE V eh. Technol. Conf. (VTC Spring) , Y okohama, Japan, May 2012, pp. 1–5

  32. [32]

    Generalised pre-codin g aided spatial modulation,

    R. Zhang, L. Y ang, and L. Hanzo, “Generalised pre-codin g aided spatial modulation,” IEEE Transactions on Wireless Communications , vol. 12, no. 11, pp. 5434–5443, Nov. 2013

  33. [33]

    Error probability and capacity analysis of genera lised pre-coding aided spatial modulation,

    ——, “Error probability and capacity analysis of genera lised pre-coding aided spatial modulation,” IEEE Transactions on Wireless Communica- tions, vol. 14, no. 1, pp. 364–375, Jan. 2015

  34. [34]

    Genera lized space shift keying modulation for MIMO channels,

    J. Jeganathan, A. Ghrayeb, and L. Szczecinski, “Genera lized space shift keying modulation for MIMO channels,” in Proc. IEEE Int. Symp. Personal, Indoor , Mobile Radio Commun. (PIMRC) , Cannes, France, Sept. 2008, pp. 1–5

  35. [35]

    Index modulation techniques for next-generation wireles s networks,

    E. Basar, M. Wen, R. Mesleh, M. D. Renzo, Y . Xiao, and H. Ha as, “Index modulation techniques for next-generation wireles s networks,” IEEE Access , vol. 5, pp. 16 693–16 746, 2017

  36. [36]

    The K -best sphere decoding for soft detection of generalized spatial m odulation,

    B. Zheng, M. Wen, F. Chen, N. Huang, F. Ji, and H. Y u, “The K -best sphere decoding for soft detection of generalized spatial m odulation,” IEEE Trans. Commun. , vol. 65, no. 11, pp. 4803–4816, Nov. 2017

  37. [37]

    Adaptive spatial modu lation for wireless MIMO transmission systems,

    P . Y ang, Y . Xiao, Y . Y u, and S. Li, “Adaptive spatial modu lation for wireless MIMO transmission systems,” IEEE Commun. Lett. , vol. 15, no. 6, pp. 602–604, Jun. 2011

  38. [38]

    Link ada ptation for spatial modulation with limited feedback,

    P . Y ang, Y . Xiao, L. Li, Q. Tang, Y . Y u, and S. Li, “Link ada ptation for spatial modulation with limited feedback,” IEEE Trans. V eh. Technol., vol. 61, no. 8, pp. 3808–3813, Oct. 2012

  39. [39]

    Simplifi ed adaptive spatial modulation for limited-feedback MIMO systems,

    P . Y ang, Y . Xiao, Y . Y u, L. Li, Q. Tang, and S. Li, “Simplifi ed adaptive spatial modulation for limited-feedback MIMO systems,” IEEE Trans. V eh. Technol., vol. 62, no. 6, pp. 2656–2666, Jul. 2013

  40. [40]

    Power allocation-aided spatial modulation for limited-feedbac k MIMO systems,

    P . Y ang, Y . Xiao, B. Zhang, S. Li, M. El-Hajjar, and L. Han zo, “Power allocation-aided spatial modulation for limited-feedbac k MIMO systems,” IEEE Trans. V eh. Technol., vol. 64, no. 5, pp. 2198–2204, May 2015

  41. [41]

    Performance investigation of spatial modulation systems under non- stationary wideband high-speed train channel models,

    Y . Fu, C. Wang, A. Ghazal, e. M. Aggoune, and M. M. Alwakee l, “Performance investigation of spatial modulation systems under non- stationary wideband high-speed train channel models,” IEEE Trans. Wireless Commun., vol. 15, no. 9, pp. 6163–6174, Sept. 2016

  42. [42]

    Space shift keying (SSK) MIMO ov er correlated rician fading channels: Performance analysis a nd a new method for transmit-diversity,

    M. D. Renzo and H. Haas, “Space shift keying (SSK) MIMO ov er correlated rician fading channels: Performance analysis a nd a new method for transmit-diversity,” IEEE Trans. Commun. , vol. 59, no. 1, pp. 116– 129, Jan. 2011

  43. [43]

    Trellis coded spatial modulation,

    R. Mesleh, M. D. Renzo, H. Haas, and P . M. Grant, “Trellis coded spatial modulation,” IEEE Trans. Wireless Commun. , vol. 9, no. 7, pp. 2349–2361, Jul. 2010

  44. [44]

    New tr ellis code design for spatial modulation,

    E. Basar, U. Aygolu, E. Panayirci, and H. V . Poor, “New tr ellis code design for spatial modulation,” IEEE Trans. Wireless Commun. , vol. 10, no. 8, pp. 2670–2680, Aug. 2011

  45. [45]

    Space-time block coded spatial modulation,

    ——, “Space-time block coded spatial modulation,” IEEE Trans. Com- mun., vol. 59, no. 3, pp. 823–832, Mar. 2011

  46. [46]

    Spatial ly modulated orthogonal space-time block codes with non-vani shing deter- minants,

    M. Le, V . Ngo, H. Mai, X. N. Tran, and M. D. Renzo, “Spatial ly modulated orthogonal space-time block codes with non-vani shing deter- minants,” IEEE Trans. Commun. , vol. 62, no. 1, pp. 85–99, Jan. 2014

  47. [47]

    High rate space-time block coded spat ial mod- ulation with cyclic structure,

    X. Li and L. Wang, “High rate space-time block coded spat ial mod- ulation with cyclic structure,” IEEE Commun. Lett. , vol. 18, no. 4, pp. 532–535, Apr. 2014

  48. [48]

    Multi-strata space-time coded sp atial modula- tion,

    C. Jeon and J. W. Lee, “Multi-strata space-time coded sp atial modula- tion,” IEEE Commun. Lett. , vol. 19, no. 11, pp. 1945–1948, Nov. 2015

  49. [49]

    On transmit diversity for spati al modulation MIMO: Impact of spatial constellation diagram and shaping fi lters at the transmitter,

    M. Di Renzo and H. Haas, “On transmit diversity for spati al modulation MIMO: Impact of spatial constellation diagram and shaping fi lters at the transmitter,” IEEE Trans. V eh. Technol. , vol. 62, no. 6, pp. 2507–2531, Jul. 2013. 18

  50. [50]

    Compressed sensing detector design for space shift keying in MIMO systems,

    C. Y u, S. Hsieh, H. Liang, C. Lu, W. Chung, S. Kuo, and S. Pe i, “Compressed sensing detector design for space shift keying in MIMO systems,” IEEE Commun. Lett. , vol. 16, no. 10, pp. 1556–1559, Oct. 2012

  51. [51]

    Denoising detection f or the generalized spatial modulation system using sparse proper ty,

    W. Liu, N. Wang, M. Jin, and H. Xu, “Denoising detection f or the generalized spatial modulation system using sparse proper ty,” IEEE Commun. Lett. , vol. 18, no. 1, pp. 22–25, Jan. 2014

  52. [52]

    Efficient compressive sensing detectors for general ized spatial modulation systems,

    L. Xiao, P . Y ang, Y . Xiao, S. Fan, M. D. Renzo, W. Xiang, an d S. Li, “Efficient compressive sensing detectors for general ized spatial modulation systems,” IEEE Trans. V eh. Technol., vol. 66, no. 2, pp. 1284– 1298, Feb. 2017

  53. [53]

    Near- ML low-complexity detection for generalized spatial modul ation,

    C. Wang, P . Cheng, Z. Chen, J. A. Zhang, Y . Xiao, and L. Gui , “Near- ML low-complexity detection for generalized spatial modul ation,” IEEE Commun. Lett. , vol. 20, no. 3, pp. 618–621, Mar. 2016

  54. [54]

    Millimeter wave beamforming for wireless backha ul and access in small cell networks,

    S. Hur, T. Kim, D. J. Love, J. V . Krogmeier, T. A. Thomas, a nd A. Ghosh, “Millimeter wave beamforming for wireless backha ul and access in small cell networks,” IEEE Trans. Commun. , vol. 61, no. 10, pp. 4391–4403, Oct. 2013

  55. [55]

    NOMA-based spatial modulat ion,

    X. zhu, Z. Wang, and J. Cao, “NOMA-based spatial modulat ion,” IEEE Access, vol. 5, pp. 3790–3800, 2017

  56. [56]

    NOMA aided precoded spatial modulation for downlink MIMO transmissions,

    P . Y ang, Y . Xiao, M. Xiao, and Z. Ma, “NOMA aided precoded spatial modulation for downlink MIMO transmissions,” IEEE J. Sel. Areas Commun., to be published, 2019

  57. [57]

    Spatial m odulation- aided cooperative NOMA: Performance analysis and comparat ive study,

    Q. Li, M. Wen, E. Basar, H. V . Poor, and F. Chen, “Spatial m odulation- aided cooperative NOMA: Performance analysis and comparat ive study,” IEEE J. Sel. Areas Commun. , to be published, 2019

  58. [58]

    Spatia l modulation assisted multi-antenna non-orthogonal multip le access,

    C. Zhong, X. Hu, X. Chen, D. W. K. Ng, and Z. Zhang, “Spatia l modulation assisted multi-antenna non-orthogonal multip le access,” IEEE Wireless Commun., vol. 25, no. 2, pp. 61–67, Apr. 2018

  59. [59]

    Secrecy capacity of space keying with two antennas,

    S. Sinanovic, N. Serafimovski, M. D. Renzo, and H. Haas, “ Secrecy capacity of space keying with two antennas,” in Proc. IEEE V eh. Technol. Conf. (VTC Fall) , Quebec City, QC, Canada, Sept. 2012, pp. 1–5

  60. [60]

    On secrecy rat e analysis of spatial modulation and space shift keying,

    S. R. Aghdam, T. M. Duman, and M. D. Renzo, “On secrecy rat e analysis of spatial modulation and space shift keying,” in Proc. IEEE Int. Black Sea Conf. Commun. Netw. (BlackSeaCom) , Constanta, Romania, May 2015, pp. 63–67

  61. [61]

    On the secrecy mutual infor mation of spatial modulation with finite alphabet,

    X. Guan, Y . Cai, and W. Y ang, “On the secrecy mutual infor mation of spatial modulation with finite alphabet,” in Proc. IEEE Int. Conf. Wireless Commun. Signal Process. (WCSP) , Huangshan, China, Oct. 2012, pp. 1– 4

  62. [62]

    Performance comparison of MIMO tec hniques for optical wireless communications in indoor environments,

    T. Fath and H. Haas, “Performance comparison of MIMO tec hniques for optical wireless communications in indoor environments,” IEEE Trans. Commun., vol. 61, no. 2, pp. 733–742, Feb. 2013

  63. [63]

    50 years of permu tation, spatial and index modulation: From classic RF to visible light commu nications and data storage,

    N. Ishikawa, S. Sugiura, and L. Hanzo, “50 years of permu tation, spatial and index modulation: From classic RF to visible light commu nications and data storage,” IEEE Commun. Surveys Tuts. , vol. 20, no. 3, pp. 1905– 1938, Third quarter 2018

  64. [64]

    State-of-the-a rt design of index modulation in the space, time, and frequency domains: Benefi ts and fundamental limitations,

    S. Sugiura, T. Ishihara, and M. Nakao, “State-of-the-a rt design of index modulation in the space, time, and frequency domains: Benefi ts and fundamental limitations,” IEEE Access , vol. 5, pp. 21 774–21 790, 2017

  65. [65]

    A low- complexity method for antenna selection in spatial modulat ion systems,

    K. Ntontin, M. Di Renzo, A. I. Perez-Neira, and C. V eriko ukis, “A low- complexity method for antenna selection in spatial modulat ion systems,” IEEE Commun. Lett. , vol. 17, no. 12, pp. 2312–2315, Dec. 2013

  66. [66]

    Spatia l modulation: Optimal detection and performance analysis,

    J. Jeganathan, A. Ghrayeb, and L. Szczecinski, “Spatia l modulation: Optimal detection and performance analysis,” IEEE Commun. Lett. , vol. 12, no. 8, pp. 545–547, Aug. 2008

  67. [67]

    Spatial modulati on: Opti- mal detector asymptotic performance and multiple-stage de tection,

    N. R. Naidoo, H. J. Xu, and T. A. Quazi, “Spatial modulati on: Opti- mal detector asymptotic performance and multiple-stage de tection,” IET Commun., vol. 5, no. 10, pp. 1368–1376, Jul. 2011

  68. [68]

    Reduced-compl exity coherent versus non-coherent QAM-aided space-time shift k eying,

    S. Sugiura, C. Xu, S. X. Ng, and L. Hanzo, “Reduced-compl exity coherent versus non-coherent QAM-aided space-time shift k eying,” IEEE Trans. Commun., vol. 59, no. 11, pp. 3090–3101, Nov. 2011

  69. [69]

    A new low-comp lexity near-ML detection algorithm for spatial modulation,

    Q. Tang, Y . Xiao, P . Y ang, Q. Y u, and S. Li, “A new low-comp lexity near-ML detection algorithm for spatial modulation,” IEEE Wireless Commun. Lett. , vol. 2, no. 1, pp. 90–93, Feb. 2013

  70. [70]

    Signal vector based list detection for spati al modulation,

    J. Zheng, “Signal vector based list detection for spati al modulation,” IEEE Wireless Commun. Lett. , vol. 1, no. 4, pp. 265–267, Aug. 2012

  71. [71]

    Low-c omplexity ML detection for spatial modulation MIMO with APSK constell ation,

    C. Li, Y . Huang, M. D. Renzo, J. Wang, and Y . Cheng, “Low-c omplexity ML detection for spatial modulation MIMO with APSK constell ation,” IEEE Trans. V eh. Technol., vol. 64, no. 9, pp. 4315–4321, Sept. 2015

  72. [72]

    On MRC-based detection of spatial modulation,

    M. Maleki, H. R. Bahrami, and A. Alizadeh, “On MRC-based detection of spatial modulation,” IEEE Trans. Wireless Commun. , vol. 15, no. 4, pp. 3019–3029, Apr. 2016

  73. [73]

    Low-complexity compressive sensing detection for spatial modulation in large-scale mu ltiple access channels,

    A. Garcia-Rodriguez and C. Masouros, “Low-complexity compressive sensing detection for spatial modulation in large-scale mu ltiple access channels,” IEEE Trans. Commun. , vol. 63, no. 7, pp. 2565–2579, Jul. 2015

  74. [74]

    Effects of antenna switch ing on band- limited spatial modulation,

    K. Ishibashi and S. Sugiura, “Effects of antenna switch ing on band- limited spatial modulation,” IEEE Wireless Commun. Lett. , vol. 3, no. 4, pp. 345–348, Aug. 2014

  75. [75]

    Energy-versus-bandwidth- efficiency trade- off in spatially modulated massive MIMO downlink,

    M. Arisaka and S. Sugiura, “Energy-versus-bandwidth- efficiency trade- off in spatially modulated massive MIMO downlink,” IEEE Wireless Commun. Lett. , vol. 8, no. 1, pp. 197–200, Feb. 2019

  76. [76]

    Performance comparison of diff erent spatial modulation schemes in correlated fading channels,

    M. D. Renzo and H. Haas, “Performance comparison of diff erent spatial modulation schemes in correlated fading channels,” in Proc. IEEE Int. Conf. Commun. (ICC) , Cape Town, South Africa, May 2010, pp. 1–6

  77. [77]

    Detection of spatial-mod ulated signals in the presence of CSI error and time-spatial correlation,

    H. Chang, Y . Liu, and Y . T. Su, “Detection of spatial-mod ulated signals in the presence of CSI error and time-spatial correlation,” in Proc. IEEE Globecom W orkshops (GC Wkshps) , Atlanta, GA, USA, Dec. 2013, pp. 82–86

  78. [78]

    Reduced-com plexity ML detection and capacity-optimized training for spatial mod ulation systems,

    R. Rajashekar, K. V . S. Hari, and L. Hanzo, “Reduced-com plexity ML detection and capacity-optimized training for spatial mod ulation systems,” IEEE Trans. Commun. , vol. 62, no. 1, pp. 112–125, Jan. 2014

  79. [79]

    Effects of channel estimation on spatial modulation,

    S. Sugiura and L. Hanzo, “Effects of channel estimation on spatial modulation,” IEEE Signal Process. Lett. , vol. 19, no. 12, pp. 805–808, Dec. 2012

  80. [80]

    On the effect of Gaussian imper fect channel estimations on the performance of space modulation techniq ues,

    R. Mesleh and S. S. Ikki, “On the effect of Gaussian imper fect channel estimations on the performance of space modulation techniq ues,” in Proc. IEEE V eh. Technol. Conf. (VTC Spring) , Y okohama, Japan, May 2012, pp. 1–5

Showing first 80 references.