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
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.
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
- 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
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.
Referee Report
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)
- [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.
- [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
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
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
Lean theorems connected to this paper
-
IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
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. ... the key idea behind SM is to convey additional information typically through the ON/OFF states of transmit antennas
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
the spectral efficiency of SM is SSM = log2 NT + log2 M [bpcu]
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
-
[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
work page 2014
-
[2]
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
work page 2014
-
[3]
V . W. Wong, R. Schober, D. W. K. Ng, and L.-C. Wang, Key technologies for 5G wireless systems . Cambridge university press, 2017
work page 2017
-
[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
work page 2014
-
[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
work page 2006
-
[6]
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
work page 2008
-
[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
work page 2014
-
[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
work page 2011
-
[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
work page 2015
-
[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
work page 2016
-
[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
work page 2013
-
[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
work page 2012
-
[13]
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
work page 2016
-
[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
work page 2016
-
[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
work page 2009
-
[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
work page 2012
-
[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
work page 2016
-
[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
work page 2016
-
[19]
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
work page 2010
-
[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
work page 2011
-
[21]
——, “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
work page 2010
-
[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
work page 2010
-
[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
work page 2010
-
[24]
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
work page 2012
-
[25]
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
work page 2017
-
[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
work page 2015
-
[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
work page 2015
-
[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
work page 2014
-
[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
work page 2015
-
[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
work page 2011
-
[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
work page 2012
-
[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
work page 2013
-
[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
work page 2015
-
[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
work page 2008
-
[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
work page 2017
-
[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
work page 2017
-
[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
work page 2011
-
[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
work page 2012
-
[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
work page 2013
-
[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
work page 2015
-
[41]
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
work page 2016
-
[42]
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
work page 2011
-
[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
work page 2010
-
[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
work page 2011
-
[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
work page 2011
-
[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
work page 2014
-
[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
work page 2014
-
[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
work page 1945
-
[49]
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
work page 2013
-
[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
work page 2012
-
[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
work page 2014
-
[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
work page 2017
-
[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
work page 2016
-
[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
work page 2013
-
[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
work page 2017
-
[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
work page 2019
-
[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
work page 2019
-
[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
work page 2018
-
[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
work page 2012
-
[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
work page 2015
-
[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
work page 2012
-
[62]
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
work page 2013
-
[63]
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
work page 1905
-
[64]
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
work page 2017
-
[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
work page 2013
-
[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
work page 2008
-
[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
work page 2011
-
[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
work page 2011
-
[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
work page 2013
-
[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
work page 2012
-
[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
work page 2015
-
[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
work page 2016
-
[73]
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
work page 2015
-
[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
work page 2014
-
[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
work page 2019
-
[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
work page 2010
-
[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
work page 2013
-
[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
work page 2014
-
[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
work page 2012
-
[80]
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
work page 2012
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