Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

On Achieving High-Fidelity Grant-free Non-Orthogonal Multiple Access (2401.04908v1)

Published 10 Jan 2024 in cs.IT, cs.NI, and math.IT

Abstract: Grant-free access (GFA) has been envisioned to play an active role in massive Machine Type Communication (mMTC) under 5G and Beyond mobile systems, which targets at achieving significant reduction of signaling overhead and access latency in the presence of sporadic traffic and small-size data. The paper focuses on a novel K-repetition GFA (K-GFA) scheme by incorporating Reed-Solomon (RS) code with the contention resolution diversity slotted ALOHA (CRDSA), aiming to achieve high-reliability and low-latency access in the presence of massive uncoordinated MTC devices (MTCDs). We firstly defines a MAC layer transmission structure at each MTCD for supporting message-level RS coding on a data message of $Q$ packets, where a RS code of $KQ$ packets is generated and sent in a super time frame (STF) that is composed of $Q$ time frames. The access point (AP) can recover the original $Q$ packets of the data message if at least $Q$ out of the $KQ$ packets of the RS code are successfully received. The AP buffers the received MTCD signals of each resource block (RB) within an STF and exercises the CRDSA based multi-user detection (MUD) by exploring signal-level inter-RB correlation via iterative interference cancellation (IIC). With the proposed CRDSA based K-GFA scheme, we provide the complexity analysis, and derive a closed-form analytical model on the access probability for each MTCD as well as its simplified approximate form. Extensive numerical experiments are conducted to validate its effectiveness on the proposed CRDSA based K-GFA scheme and gain deep understanding on its performance regarding various key operational parameters.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (21)
  1. M. S. M. B. Shahab, R. Abbas and S. J. Johnson, “Grant-free non-orthogonal multiple access for iot: A survey,,” IEEE Communications Surveys & Tutorials, vol. 22, no. 3, pp. 1805–1838, 2020.
  2. R1‑1910689, “Remaining details of 2-step rach procedure,” Nokia, Nokia Shanghai Bell, Oct. 2019.
  3. T. . V15.4.0, “Nr; nr and ng-ran overall description; stage 2,” 3GPP, December 2018.
  4. O. Trullols-Cruces, J. M. Barcelo-Ordinas, and M. Fiore, “Exact decoding probability under random linear network coding,” IEEE Communications Letters, vol. 15, no. 1, pp. 67–69, 2011.
  5. K. Lai, Z. Liu, J. Lei, L. Wen, G. Chen, and P. Xiao, “A novel k-repetition design for scma,” 2022.
  6. E. Balevi, F. T. A. Rabee, and R. D. Gitlin, “Aloha-noma for massive machine-to-machine iot communication,” in 2018 IEEE International Conference on Communications (ICC), 2018, pp. 1–5.
  7. J. Choi, “Noma-based random access with multichannel aloha,” IEEE Journal on Selected Areas in Communications, vol. 35, no. 12, pp. 2736–2743, 2017.
  8. R1-164037, “Lls results for uplink multiple access,” Huawei, HiSilicon, TSG-RAN WG1 Meeting #85, May 2016.
  9. R1-166405, “Discussion on grant-free concept for ul mmtc,” ZTE, ZTE Microelectronics, TSG-RAN WG1 Meeting #86, Aug. 2016.
  10. B. Wang, L. Dai, Y. Yuan, and Z. Wang, “Compressive sensing based multi-user detection for uplink grant-free non-orthogonal multiple access,” in 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).   IEEE, 2015, pp. 1–5.
  11. D. Needell and J. A. Tropp, “Cosamp: Iterative signal recovery from incomplete and inaccurate samples,” Applied and computational harmonic analysis, vol. 26, no. 3, pp. 301–321, 2009.
  12. X. Zhang, P. Fan, L. Hao, and X. Quan, “Generalized approximate message passing based bayesian learning detectors for uplink grant-free noma,” IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 15 057–15 061, 2023.
  13. Y. Du, C. Cheng, B. Dong, Z. Chen, X. Wang, J. Fang, and S. Li, “Block-sparsity-based multiuser detection for uplink grant-free noma,” IEEE Transactions on Wireless Communications, vol. 17, no. 12, pp. 7894–7909, 2018.
  14. W. Kim, Y. Ahn, and B. Shim, “Deep neural network-based active user detection for grant-free noma systems,” IEEE Transactions on Communications, vol. 68, no. 4, pp. 2143–2155, 2020.
  15. S. Khan, S. Durrani, M. B. Shahab, S. J. Johnson, and S. Camtepe, “Joint user and data detection in grant-free noma with attention-based bilstm network,” IEEE Open Journal of the Communications Society, vol. 4, pp. 1499–1515, 2023.
  16. A. Azari, C. Stefanović, P. Popovski, and C. Cavdar, “Energy-efficient and reliable iot access without radio resource reservation,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 2, pp. 908–920, 2021.
  17. E. Casini, R. De Gaudenzi, and O. Del Rio Herrero, “Contention resolution diversity slotted aloha (crdsa): An enhanced random access schemefor satellite access packet networks,” IEEE Transactions on Wireless Communications, vol. 6, no. 4, pp. 1408–1419, 2007.
  18. I. N. A. Ramatryana and S. Y. Shin, “Noma-based crdsa with access control for next-generation iot networks,” in 2021 International Conference on Information and Communication Technology Convergence (ICTC), 2021, pp. 997–1001.
  19. H. Yu, H. Zhao, Z. Fei, J. Wang, Z. Chen, and Y. Gong, “Deep-reinforcement-learning-based noma-aided slotted aloha for leo satellite iot networks,” IEEE Internet of Things Journal, vol. 10, no. 20, pp. 17 772–17 784, 2023.
  20. R. L. J. Gu, “Joint interference cancellation and relay selection algorithms based on greedy techniques for cooperative ds- cdma systems,” Eurasip Journal on Wireless Communications & Networking, vol. 2016, pp. 1–19, 2016.
  21. “5g; nr; physical layer procedures for data,,” document 3GPP TS 38.214 v15.9.0 release 15, Mar. 2020.

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now