pith. sign in

arxiv: 2605.18314 · v1 · pith:WSI3V36Inew · submitted 2026-05-18 · 💻 cs.NI · cs.AR

Enabling Agile Ambient IoT Networking via a Parameterized Hybrid Radio

Pith reviewed 2026-05-19 23:53 UTC · model grok-4.3

classification 💻 cs.NI cs.AR
keywords ambient IoThybrid radioparameterized architecturebatteryless networkingRF front endprotocol prototypingenergy harvestinglow-power networks
0
0 comments X

The pith

Janus unifies active and passive radio modes in one parameterized RF front end to match dedicated-radio performance with far less configuration overhead.

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

The paper presents Janus as a hybrid radio architecture designed specifically for ambient IoT, where devices must operate without batteries and switch between passive backscattering and active transmission. By collapsing both behaviors into a single configurable front end controlled through concise parameters, the design removes the need for separate hardware paths and complex manual setups that currently slow protocol experiments. This unification also adds a control plane for quick mode changes and an energy plane that harvests from multiple sources at fine granularity. If the approach holds, it lowers the barrier for testing and standardizing new low-power protocols from groups like 3GPP and IEEE. The authors back the claim with a working PCB prototype evaluated across several protocol families.

Core claim

Janus is the first hybrid active-passive configurable radio that unifies passive and active transmission into a single RF front end by abstracting complex physical layer behaviors into concise parameters. This architecture supports a system-level control plane for dynamic mode transitions and an energy management plane for fine-grained harvesting across multiple sources. A compact PCB implementation demonstrates communication performance on par with dedicated radios while significantly reducing configuration overhead across 3GPP A-IoT, IEEE 802.11 AMP, and Bluetooth SIG protocols.

What carries the argument

The parameterized architecture that abstracts active and passive behaviors into concise parameters within a unified RF front end.

If this is right

  • Rapid protocol prototyping becomes possible without building decoupled radio paths or high-static-power testbeds.
  • Dynamic mode transitions are managed through a system-level control plane rather than hardware swaps.
  • Fine-grained energy harvesting from multiple sources can be coordinated with communication modes.
  • Emerging ambient IoT standards from 3GPP, IEEE, and Bluetooth SIG can be validated on one platform.
  • Overall configuration overhead drops while communication performance stays comparable to dedicated radios.

Where Pith is reading between the lines

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

  • The same parameterized front end might reduce hardware duplication in other batteryless sensor designs beyond the evaluated protocols.
  • Integration with existing IoT stacks could let developers script mode switches at the application layer instead of the RF layer.
  • A natural next measurement would track how the energy-harvesting plane behaves when multiple ambient sources fluctuate independently during active transmission.
  • If the parameter abstraction scales cleanly, it could serve as a common substrate for comparing competing ambient IoT proposals in the same physical environment.

Load-bearing premise

A single unified RF front end can abstract and control both active and passive behaviors through concise parameters without introducing unacceptable performance trade-offs or control complexity in real-world conditions.

What would settle it

A side-by-side field test in which Janus is compared against separate dedicated active and passive radios on the same ambient IoT link, measuring whether throughput, bit error rate, or configuration time diverges beyond acceptable limits under varying distances and interference.

Figures

Figures reproduced from arXiv: 2605.18314 by Bingbing Wang, Fengyuan Zhu, Jiazhen Lei, Jinyang Sun, Linling Zhong, Tianze Cao, Wenhui Li, Xiaohua Tian, Yibin Deng, Yuxin Sha, Zeming Yang.

Figure 1
Figure 1. Figure 1: Janus employs a fully parameterized configuration approach to enable [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: By toggling the RF switch, the alternation of the local carrier path can [PITH_FULL_IMAGE:figures/full_fig_p003_3.png] view at source ↗
Figure 2
Figure 2. Figure 2: Comparison between existing RF Tx front-ends and Janus. [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: Janus System Block Diagram. A complete system diagram showing all of the components of Janus. The architecture primarily contains three modules: [PITH_FULL_IMAGE:figures/full_fig_p004_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: Janus adjusts Mode Switch and Data Switch to implement passive (a) and active (b) data paths. protocol adjustments, imposing a steep learning curve for networking researchers. Janus resolves this fundamental trade-off by extending the parameterized configuration model, which was previously con￾fined to passive baseband processing, into a comprehensive full-stack radio architecture. By decoupling physical-l… view at source ↗
Figure 7
Figure 7. Figure 7: Timing Diagram for Interaction. Preamble (24bits, 0xE256E2) ID (8bits) Type (8bits) Data (8-128bits) [PITH_FULL_IMAGE:figures/full_fig_p007_7.png] view at source ↗
Figure 10
Figure 10. Figure 10: Hardware Prototype of Janus. characteristics, while providing interfaces for supplementary energy sources. V. EVALUATION A. Microbenchmarks and Specifications 1) Power Consumption: IC Power Consumption. We first evaluate the IC power consumption of the Janus. The ASIC is implemented using the SMIC 40nm 1.1V ULP process, with analog and digital components synthesized via Cadence Virtuoso [46] and Syn￾opsys… view at source ↗
Figure 11
Figure 11. Figure 11: Power consumption timing diagram of Janus [PITH_FULL_IMAGE:figures/full_fig_p009_11.png] view at source ↗
Figure 13
Figure 13. Figure 13: Experiments for RF Energy Harvesting. (a) Experimental setup. (b) [PITH_FULL_IMAGE:figures/full_fig_p009_13.png] view at source ↗
Figure 15
Figure 15. Figure 15: Janus realizes the PHY layer of 802.11AMP and 3GPP A [PITH_FULL_IMAGE:figures/full_fig_p010_15.png] view at source ↗
Figure 17
Figure 17. Figure 17: Performance comparison of the Janus configured with BPSK [PITH_FULL_IMAGE:figures/full_fig_p010_17.png] view at source ↗
Figure 19
Figure 19. Figure 19: Comparative experiments. The experiments are conducted in the corri￾dor. Platform Aver. Time Janus (Active) 3min TinySDR 2h17min USRP B210 44min Janus (Passive) 3min RBLE 1h31min (a) (b) [PITH_FULL_IMAGE:figures/full_fig_p010_19.png] view at source ↗
Figure 22
Figure 22. Figure 22: Voltage profiles of the storage capacitor in Janus dur [PITH_FULL_IMAGE:figures/full_fig_p011_22.png] view at source ↗
read the original abstract

The emergence of Ambient IoT signals a paradigm shift toward massive batteryless networking. However, the absence of an agile physical layer substrate remains a fundamental barrier to research and standardization. Current testbeds are hindered by decoupled radio paths, high static power, and cumbersome control methods, which stifle rapid protocol prototyping. In this paper, we present Janus, the first hybrid active-passive configurable radio architected for agile Ambient IoT networking. Janus introduces a parameterized architecture that unifies passive and active transmission into a single RF front end, abstracting complex physical layer behaviors into concise parameters. This design enables a system-level control plane for dynamic mode transitions and an energy management plane for fine-grained harvesting across multiple sources. We implement a compact PCB prototype and evaluate its performance across diverse protocol landscapes, including 3GPP A-IoT, IEEE 802.11 AMP, and Bluetooth SIG. Our experimental results demonstrate that Janus achieves communication performance on par with dedicated radios while significantly reducing configuration overhead. Ultimately, Janus serves as a versatile enabler for validating emerging protocols and accelerating the standardization of next-generation low-power networks.

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

1 major / 2 minor

Summary. The manuscript introduces Janus, a parameterized hybrid active-passive radio architecture for Ambient IoT networking. It unifies passive backscatter and active transmission into a single RF front end by abstracting physical-layer behaviors into concise parameters, supported by a control plane for dynamic mode switching and an energy management plane for multi-source harvesting. A compact PCB prototype is evaluated across 3GPP A-IoT, IEEE 802.11 AMP, and Bluetooth SIG protocols, with the central claim that Janus achieves communication performance on par with dedicated radios while substantially lowering configuration overhead.

Significance. If the performance-parity claim is substantiated by matched-baseline experiments, Janus would supply a practical, reconfigurable hardware substrate that lowers barriers to Ambient IoT protocol research and standardization. The parameterized single-front-end approach directly addresses the decoupled-radio and high-static-power limitations of existing testbeds and could accelerate validation of emerging low-power standards.

major comments (1)
  1. [§4] §4 (Experimental Evaluation): The headline claim that Janus incurs 'no material degradation' relative to dedicated radios is load-bearing, yet the text does not state whether link-budget, power-draw, and reliability figures were obtained against matched baselines under identical channel conditions or whether control-plane overhead was subtracted from the energy budget. Without these details the parity result cannot be verified.
minor comments (2)
  1. [§2.2] §2.2: The mapping from the listed parameters to the underlying impedance network and switching states is described only qualitatively; a compact table enumerating each parameter, its range, and the corresponding circuit state would improve reproducibility.
  2. [Figure 3] Figure 3: Axis labels and legend entries are too small for print; enlarging them and adding error bars (or stating that they are omitted) would aid interpretation of the reported throughput and power numbers.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback on the experimental evaluation. We address the major comment below and will revise the manuscript to supply the requested details on baselines and energy accounting.

read point-by-point responses
  1. Referee: [§4] §4 (Experimental Evaluation): The headline claim that Janus incurs 'no material degradation' relative to dedicated radios is load-bearing, yet the text does not state whether link-budget, power-draw, and reliability figures were obtained against matched baselines under identical channel conditions or whether control-plane overhead was subtracted from the energy budget. Without these details the parity result cannot be verified.

    Authors: We agree that explicit documentation of the experimental controls is necessary to substantiate the performance-parity claim. All reported link-budget, power-draw, and reliability measurements were obtained against matched dedicated-radio baselines (same transmit power, antenna, and receiver) under identical channel conditions in a controlled anechoic setup. Control-plane overhead was included in Janus’s energy budget rather than subtracted, providing a conservative comparison. We will add a dedicated subsection to §4 that describes the baseline-matching procedure, channel conditions, and energy-accounting method. revision: yes

Circularity Check

0 steps flagged

No circularity: hardware prototype with direct experimental claims

full rationale

The paper presents a hardware architecture and PCB prototype for a hybrid radio, with performance claims grounded in empirical measurements across protocols rather than any mathematical derivation, fitted model, or self-referential prediction. No equations, ansatzes, or uniqueness theorems appear that could reduce to inputs by construction. Self-citations, if present, do not serve as load-bearing justification for the central experimental results, which are independently falsifiable via replication of the described prototype. This is a standard system-description paper whose validity rests on measurement methodology, not on a closed logical loop.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only view yields no explicit free parameters, axioms, or invented entities; the parameterized architecture is described at a high level without numerical fits or unproven assumptions detailed.

pith-pipeline@v0.9.0 · 5760 in / 1061 out tokens · 31139 ms · 2026-05-19T23:53:27.063163+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

110 extracted references · 110 canonical work pages

  1. [1]

    Ambient iot: A missing link in 3gpp iot devices landscape,

    M. M. Butt, N. R. Mangalvedhe, N. K. Pratas, J. Harrebek, J. Kimionis, M. Tayyab, O.-E. Barbu, R. Ratasuk, and B. Vejlgaard, “Ambient iot: A missing link in 3gpp iot devices landscape,”IEEE Internet of Things Magazine, vol. 7, no. 2, pp. 85–92, 2024

  2. [2]

    3GPP TR38.769,

    “3GPP TR38.769,” https://portal.3gpp.org/ngppapp/CreateTdoc.aspx? mode=view&contributionUid=RP-243319

  3. [3]

    802.11AMP,

    “802.11AMP,” https://ieee802.org/11/Reports/tgbp update.htm# GOAL

  4. [4]

    The Ambient IoT - The Emergence of a New Class of Blue- tooth IoT Devices,

    “The Ambient IoT - The Emergence of a New Class of Blue- tooth IoT Devices,” https://www.bluetooth.com/bluetooth-resources/ mrn-ambient-iot/

  5. [5]

    Passive wi- fi: Bringing low power to wi-fi transmissions,

    B. Kellogg, V . Talla, S. Gollakota, and J. R. Smith, “Passive wi- fi: Bringing low power to wi-fi transmissions,” in13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16), 2016, pp. 151–164

  6. [6]

    Ambient backscatter: Wireless communication out of thin air,

    V . Liu, A. Parks, V . Talla, S. Gollakota, D. Wetherall, and J. R. Smith, “Ambient backscatter: Wireless communication out of thin air,”ACM SIGCOMM computer communication review, vol. 43, no. 4, pp. 39–50, 2013

  7. [7]

    Ofdma-enabled wi-fi backscatter,

    R. Zhao, F. Zhu, Y . Feng, S. Peng, X. Tian, H. Yu, and X. Wang, “Ofdma-enabled wi-fi backscatter,” inThe 25th Annual International Conference on Mobile Computing and Networking, 2019, pp. 1–15

  8. [8]

    Lora backscatter: Enabling the vision of ubiquitous connec- tivity,

    V . Talla, M. Hessar, B. Kellogg, A. Najafi, J. R. Smith, and S. Gol- lakota, “Lora backscatter: Enabling the vision of ubiquitous connec- tivity,”Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, vol. 1, no. 3, pp. 1–24, 2017. IEEE/ACM TRANSACTIONS ON NETWORKING 13

  9. [9]

    Inter- technology backscatter: Towards internet connectivity for implanted devices,

    V . Iyer, V . Talla, B. Kellogg, S. Gollakota, and J. Smith, “Inter- technology backscatter: Towards internet connectivity for implanted devices,” inProceedings of the 2016 ACM SIGCOMM Conference, 2016, pp. 356–369

  10. [10]

    Commodity-level ble backscatter,

    M. Zhang, S. Chen, J. Zhao, and W. Gong, “Commodity-level ble backscatter,” inProceedings of the 19th Annual International Confer- ence on Mobile Systems, Applications, and Services, 2021, pp. 402– 414

  11. [11]

    Content-agnostic backscatter from thin air,

    Y . Yang, L. Yuan, J. Zhao, and W. Gong, “Content-agnostic backscatter from thin air,” inProceedings of the 20th annual international confer- ence on mobile systems, applications and services, 2022, pp. 343–356

  12. [12]

    Leveraging ambient lte traffic for ubiquitous passive communication,

    Z. Chi, X. Liu, W. Wang, Y . Yao, and T. Zhu, “Leveraging ambient lte traffic for ubiquitous passive communication,” inProceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication, 2020, pp. 172–185

  13. [13]

    In- tegrated two-way radar backscatter communication and sensing with low-power iot tags,

    R. Okubo, L. Jacobs, J. Wang, S. Bowers, and E. Soltanaghai, “In- tegrated two-way radar backscatter communication and sensing with low-power iot tags,” inProceedings of the ACM SIGCOMM 2024 Conference, 2024, pp. 327–339

  14. [14]

    Frequency-agile ofdm backscatter,

    B. Wang, F. Zhu, W. Li, Z. Yang, M. Jin, and X. Tian, “Frequency-agile ofdm backscatter,” inProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services, ser. MOBISYS ’24. New York, NY , USA: Association for Computing Machinery, 2024, p. 252–264. [Online]. Available: https://doi.org/10.1145/3643832.3661873

  15. [15]

    USRP B210,

    “USRP B210,” https://www.ettus.com/all-products/ub210-kit/

  16. [16]

    USRP E310,

    “USRP E310,” https://www.ettus.com/wp-content/uploads/2019/01/ USRP E310 Datasheet.pdf

  17. [17]

    Pluto SDR,

    “Pluto SDR,” https://www.analog.com/en/resources/ evaluation-hardware-and-software/evaluation-boards-kits/adalm-pluto. html

  18. [18]

    Tinysdr:low-powe sdr platform for over-the-air programmable iot testbeds,

    M. Hessar, A. Najafi, V . Iyer, and S. Gollakota, “Tinysdr:low-powe sdr platform for over-the-air programmable iot testbeds,” in17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20), 2020, pp. 1031–1046

  19. [19]

    3GPP TR38.848,

    “3GPP TR38.848,” https://portal.3gpp.org/desktopmodules/ Specifications/SpecificationDetails.aspx?specificationId=4146

  20. [20]

    “CC2650,” https://www.ti.com/product/CC2650

  21. [21]

    “CC3350,” https://www.ti.com/product/CC3350

  22. [22]

    “AD9361,” https://www.analog.com/products/ad9361.html

  23. [23]

    “AD9363,” https://www.analog.com/en/products/ad9363.html

  24. [24]

    MAX2828,

    “MAX2828,” https://www.analog.com/cn/products/max2828.html

  25. [25]

    AT86RF215,

    “AT86RF215,” https://www.microchip.com/en-us/product/at86rf215

  26. [26]

    GNU Radio,

    “GNU Radio,” https://www.gnuradio.org/

  27. [27]

    Enabling software-defined phy for backscatter networks,

    F. Zhu, M. Ouyang, L. Feng, Y . Liu, X. Tian, M. Jin, D. Chen, and X. Wang, “Enabling software-defined phy for backscatter networks,” inProceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, 2022, pp. 330–342

  28. [28]

    HackRF One,

    “HackRF One,” https://hackrf.readthedocs.io/en/latest/index.html

  29. [29]

    MAX2839,

    “MAX2839,” https://www.analog.com/cn/products/max2839.html

  30. [30]

    RFFC5072,

    “RFFC5072,” https://www.qorvo.com/products/p/RFFC5072

  31. [31]

    A 135fs rms-jitter 0.6-to-7.7 ghz lo generator using a single lc-vco-based subsampling pll and a ring-oscillator-based sub-integer-n frequency multiplier,

    Y . Jo, J. Kim, Y . Shin, C. Hwang, H. Park, and J. Choi, “A 135fs rms-jitter 0.6-to-7.7 ghz lo generator using a single lc-vco-based subsampling pll and a ring-oscillator-based sub-integer-n frequency multiplier,” in2023 IEEE International Solid-State Circuits Conference (ISSCC). IEEE, 2023, pp. 1–3

  32. [32]

    ADF4355,

    “ADF4355,” https://www.analog.com/cn/products/adf4355.html

  33. [33]

    SKY13314-373LF,

    “SKY13314-373LF,” https://www.skyworksinc.com/en/Products/ switches/SKY13314-374LF

  34. [34]

    SDPHY hardware platform,

    “SDPHY hardware platform,” https://github.com/Swattzz/ SD-PHYBackscatter

  35. [35]

    LittleBEE FPGAs,

    “LittleBEE FPGAs,” https://www.gowinsemi.com/en/product/detail/ 46/

  36. [36]

    Msp430fr5969,

    “Msp430fr5969,” https://www.ti.com/product/MSP430FR5969

  37. [37]

    bladeRF 2.0,

    “bladeRF 2.0,” https://www.nuand.com/bladerf-2-0-micro/

  38. [38]

    BQ25570,

    “BQ25570,” https://www.ti.com.cn/product/cn/BQ25570

  39. [39]

    “TPS782,” https://www.ti.com.cn/product/TPS782

  40. [40]

    “TLV702,” https://www.ti.com.cn/product/TLV702

  41. [41]

    TPS2041B,

    “TPS2041B,” https://www.ti.com.cn/product/TPS2041B

  42. [42]

    “LT5534,” https://www.analog.com/media/en/technical-documentation/ data-sheets/5534fc.pdf

  43. [43]

    “Ts3021,” https://www.st.com/resource/en/datasheet/ts3021.pdf

  44. [44]

    SMS7630,

    “SMS7630,” https://www.skyworksinc.com/Products/Diodes/ SMS7630-Series

  45. [45]

    A VX Bestcap,

    “A VX Bestcap,” https://zh-cn.kyocera-avx.com/news/bestcap

  46. [46]

    Virtuoso Layout Suite,

    “Virtuoso Layout Suite,” https://www.cadence.com/ko KR/home/tools/ custom-icanalog-rf-design/layout-design/virtuoso-layout-suite.html

  47. [47]

    DC Ultra,

    “DC Ultra,” https://www.synopsys.com/implementation-andsignoff/ rtl-synthesistest/dc-ultra.html

  48. [48]

    Otii Arc pro,

    “Otii Arc pro,” https://www.qoitech.com/otii-arc-pro/

  49. [49]

    Mini Solar Panel (AOSHIKE),

    “Mini Solar Panel (AOSHIKE),” https://www.amazon.com/stores/node/ 18203222011?ie=UTF8&field-lbr brands browse-bin=AOSHIKE

  50. [50]

    SM206E-Solar,

    “SM206E-Solar,” https://en.sanpometer.com/solar power meter/244. html

  51. [51]

    Solar irradiance,

    “Solar irradiance,” https://en.wikipedia.org/wiki/Solar irradiance

  52. [52]

    Reliable backscatter with commodity ble,

    M. Zhang, J. Zhao, S. Chen, and W. Gong, “Reliable backscatter with commodity ble,” inIEEE INFOCOM 2020-IEEE Conference on Computer Communications. IEEE, 2020, pp. 1291–1299

  53. [53]

    TI CC2540,

    “TI CC2540,” https://www.ti.com/product/CC2540

  54. [54]

    TI Smart Packet Sniffer,

    “TI Smart Packet Sniffer,” https://www.ti.com/tool/ PACKET-SNIFFER

  55. [55]

    3GPP TR22.840,

    “3GPP TR22.840,” https://www.bing.com/search?q=3GPP+TR+22. 840&qs=n&form=QBRE&sp=-1&lq=0&pq=chatgpt&sc=16-7&sk= &cvid=304E1F651CE94C8BB23A4584B64F9DCD

  56. [56]

    An adaptive mode selection mechanism for hybrid active and passive communications,

    J. Kan, M. Peng, Z. Niu, L. Xiao, and T. Jiang, “An adaptive mode selection mechanism for hybrid active and passive communications,” IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 13 677–13 682, 2023

  57. [57]

    Covert communi- cation with uninformed backscatters in hybrid active/passive wireless networks: Modeling and performance analysis,

    W. Ma, Z. Niu, W. Wang, S. He, and T. Jiang, “Covert communi- cation with uninformed backscatters in hybrid active/passive wireless networks: Modeling and performance analysis,”IEEE Transactions on Communications, vol. 70, no. 4, pp. 2622–2634, 2022

  58. [58]

    Energy-efficient hybrid of- floading for backscatter-assisted wirelessly powered mec with reconfig- urable intelligent surfaces,

    S. Zargari, C. Tellambura, and S. Herath, “Energy-efficient hybrid of- floading for backscatter-assisted wirelessly powered mec with reconfig- urable intelligent surfaces,”IEEE Transactions on Mobile Computing, vol. 22, no. 9, pp. 5262–5279, 2022

  59. [59]

    Backscatter-aided cooperative transmission in wireless-powered het- erogeneous networks,

    S. H. Kim, S. Y . Park, K. W. Choi, T.-J. Lee, and D. I. Kim, “Backscatter-aided cooperative transmission in wireless-powered het- erogeneous networks,”IEEE Transactions on Wireless Communica- tions, vol. 19, no. 11, pp. 7309–7323, 2020

  60. [60]

    Braidio: An integrated active-passive radio for mobile devices with asymmetric energy bud- gets,

    P. Hu, P. Zhang, M. Rostami, and D. Ganesan, “Braidio: An integrated active-passive radio for mobile devices with asymmetric energy bud- gets,” inProceedings of the 2016 ACM SIGCOMM Conference, 2016, pp. 384–397

  61. [61]

    Protean: An energy- efficient and heterogeneous platform for adaptive and hardware- accelerated battery-free computing,

    A. Bakar, R. Goel, J. De Winkel, J. Huang, S. Ahmed, B. Islam, P. Pawełczak, K. S. Yıldırım, and J. Hester, “Protean: An energy- efficient and heterogeneous platform for adaptive and hardware- accelerated battery-free computing,” inProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022, pp. 207– 221

  62. [62]

    Ambient rf energy-harvesting technologies for self- sustainable standalone wireless sensor platforms,

    S. Kim, R. Vyas, J. Bito, K. Niotaki, A. Collado, A. Georgiadis, and M. M. Tentzeris, “Ambient rf energy-harvesting technologies for self- sustainable standalone wireless sensor platforms,”Proceedings of the IEEE, vol. 102, no. 11, pp. 1649–1666, 2014

  63. [63]

    Solar cell efficiency tables (version 57),

    M. Green, E. Dunlop, J. Hohl-Ebinger, M. Yoshita, N. Kopidakis, and X. Hao, “Solar cell efficiency tables (version 57),”Progress in photovoltaics: research and applications, vol. 29, no. 1, pp. 3–15, 2021

  64. [64]

    Warp: A flexible platform for clean-slate wireless medium access protocol design,

    A. Khattab, J. Camp, C. Hunter, P. Murphy, A. Sabharwal, and E. W. Knightly, “Warp: A flexible platform for clean-slate wireless medium access protocol design,”ACM SIGMOBILE Mobile Computing and Communications Review, vol. 12, no. 1, pp. 56–58, 2008

  65. [65]

    “µSDR,” https://github.com/lab11/uSDR

  66. [66]

    M-cube: A millimeter-wave massive mimo software radio,

    R. Zhao, T. Woodford, T. Wei, K. Qian, and X. Zhang, “M-cube: A millimeter-wave massive mimo software radio,” inProceedings of the 26th Annual International Conference on Mobile Computing and Networking, 2020, pp. 1–14

  67. [67]

    Sweepsense: Sensing 5 ghz in 5 milliseconds with low-cost radios,

    Y . Guddeti, R. Subbaraman, M. Khazraee, A. Schulman, and D. Bhara- dia, “Sweepsense: Sensing 5 ghz in 5 milliseconds with low-cost radios,” in16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19), 2019, pp. 317–330

  68. [68]

    The tick programmable low-latency sdr system,

    H. Wu, T. Wang, Z. Yuan, C. Peng, Z. Li, Z. Tan, B. Ding, X. Li, Y . Li, J. Liuet al., “The tick programmable low-latency sdr system,” inProceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017, pp. 101–113

  69. [69]

    Openmili: A 60 ghz software radio platform with a reconfigurable phased-array antenna,

    J. Zhang, X. Zhang, P. Kulkarni, and P. Ramanathan, “Openmili: A 60 ghz software radio platform with a reconfigurable phased-array antenna,” inProceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016, pp. 162–175

  70. [70]

    Sdr receiver using commodity wifi via physical-layer signal reconstruction,

    W. Jeong, J. Jung, Y . Wang, S. Wang, S. Yang, Q. Yan, Y . Yi, and S. M. Kim, “Sdr receiver using commodity wifi via physical-layer signal reconstruction,” inProceedings of the 26th Annual International Conference on Mobile Computing and Networking, 2020, pp. 1–14. IEEE/ACM TRANSACTIONS ON NETWORKING 14

  71. [71]

    Millimeter-wave full duplex radios,

    V . Singh, S. Mondal, A. Gadre, M. Srivastava, J. Paramesh, and S. Kumar, “Millimeter-wave full duplex radios,” inProceedings of the 26th Annual International Conference on Mobile Computing and Networking, 2020, pp. 1–14

  72. [72]

    Whisper: Iot in the tv white space spectrum,

    T. Chakraborty, H. Shi, Z. Kapetanovic, B. Priyantha, D. Vasisht, B. Vu, P. Pandit, P. Pillai, Y . Chabria, A. Nelsonet al., “Whisper: Iot in the tv white space spectrum,” in19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22), 2022, pp. 401–418

  73. [73]

    EnOcean EWSSZ,

    “EnOcean EWSSZ,” https://www.enocean.com/en/product/

  74. [74]

    Wiliot Pixels,

    “Wiliot Pixels,” https://www.wiliot.com/product/iot-pixels# product-details

  75. [75]

    Everactive Eversensor,

    “Everactive Eversensor,” https://everactive.com/applications/ steam-trap-monitoring/

  76. [76]

    Design of an rfid-based battery-free programmable sensing platform,

    A. P. Sample, D. J. Yeager, P. S. Powledge, A. V . Mamishev, and J. R. Smith, “Design of an rfid-based battery-free programmable sensing platform,”IEEE transactions on instrumentation and measurement, vol. 57, no. 11, pp. 2608–2615, 2008

  77. [77]

    Wispcam: A battery-free rfid camera,

    S. Naderiparizi, A. N. Parks, Z. Kapetanovic, B. Ransford, and J. R. Smith, “Wispcam: A battery-free rfid camera,” in2015 IEEE Interna- tional Conference on RFID (RFID). IEEE, 2015, pp. 166–173

  78. [78]

    23.1 a 44µw iot tag enabling 1µs synchronization accuracy and ofdma concurrent communication with software-defined modulation,

    J. Shen, F. Zhu, Y . Liu, B. Liu, C. Shi, L. Huang, L. Xu, X. Tian, and R. Zhang, “23.1 a 44µw iot tag enabling 1µs synchronization accuracy and ofdma concurrent communication with software-defined modulation,” in2024 IEEE International Solid-State Circuits Confer- ence (ISSCC), vol. 67. IEEE, 2024, pp. 400–402

  79. [79]

    21.5 an lte-harvesting ble-to-wifi backscattering chip for single-device rfid-like interrogation,

    S.-K. Kuo, M. Dunna, H. Lu, A. Agarwal, D. Bharadia, and P. P. Mercier, “21.5 an lte-harvesting ble-to-wifi backscattering chip for single-device rfid-like interrogation,” in2023 IEEE International Solid- State Circuits Conference (ISSCC). IEEE, 2023, pp. 320–322

  80. [80]

    Bootstrapping battery-free wire- less networks: Efficient neighbor discovery and synchronization in the face of intermittency,

    K. Geissdoerfer and M. Zimmerling, “Bootstrapping battery-free wire- less networks: Efficient neighbor discovery and synchronization in the face of intermittency,” in18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), 2021, pp. 439–455

Showing first 80 references.