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Study of Iterative Detection and Decoding with Log-Likelihood Ratio Based Access Point Selection for Cell-Free Networks (2312.15528v1)
Published 24 Dec 2023 in cs.IT, eess.SP, and math.IT
Abstract: This paper proposes an iterative detection and decoding (IDD) scheme and an approach to improve the selection of access points (APs) in uplink cell-free massive multiple-antenna systems. A cost-effective scheme for selection of APs based on local log-likelihood ratios (LLRs) is developed that provides sufficient statistics to the central processing unit and selects which APs should be considered for each user. {Numerical results show that the proposed IDD scheme works very well and the proposed LLRs-based approach to select APs outperforms the existing techniques in terms of bit error rate and spectral efficiency while requiring a comparable fronthaul load.
- J. Zhang et al., “Prospective Multiple Antenna Technologies for Beyond 5G,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1637–1660, 2020.
- Rodrigo C. de Lamare, “Massive mimo systems: Signal processing challenges and future trends,” URSI Radio Science Bulletin, vol. 2013, no. 347, pp. 8–20, 2013.
- “Large-scale antenna systems with ul/dl hardware mismatch: Achievable rates analysis and calibration,” IEEE Transactions on Communications, vol. 63, no. 4, pp. 1216–1229, 2015.
- H. Q. Ngo et al., “Cell-Free Massive MIMO Versus Small Cells,” IEEE Trans. on Wireless Commun., vol. 16, no. 3, pp. 1834–1850, 2017.
- E. Björnson and L. Sanguinetti, “Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation,” IEEE Trans. on Wireless Commun., vol. 19, no. 1, pp. 77–90, 2020.
- E. Björnson et al., “Scalable Cell-Free Massive MIMO Systems,” IEEE Trans. on Commun., vol. 68, no. 7, pp. 4247–4261, 2020.
- “Robust mmse precoding and power allocation for cell-free massive mimo systems,” IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 5115–5120, 2021.
- “Clustered cell-free multi-user multiple-antenna systems with rate-splitting: Precoder design and power allocation,” IEEE Transactions on Communications, vol. 71, no. 10, pp. 5920–5934, 2023.
- T. H. Nguyen et al., “Optimal Power Control and Load Balancing for Uplink Cell-Free Multi-User Massive MIMO,” IEEE Access, vol. 6, pp. 14462–14473, 2018.
- “Transmit diversity and relay selection algorithms for multirelay cooperative mimo systems,” IEEE Transactions on Vehicular Technology, vol. 61, no. 3, pp. 1084–1098, 2012.
- H. Q. Ngo et al., “On the Total Energy Efficiency of Cell-Free Massive MIMO,” IEEE Trans. on Green Commun. and Networking, vol. 2, no. 1, pp. 25–39, 2018.
- H. T. Dao and S. Kim, “Effective Channel Gain-Based Access Point Selection in Cell-Free Massive MIMO Systems,” IEEE Access, vol. 8, pp. 108127–108132, 2020.
- “Machine learning-enabled joint antenna selection and precoding design: From offline complexity to online performance,” IEEE Transactions on Wireless Communications, vol. 20, no. 6, pp. 3710–3722, 2021.
- T. Van Chien et al., “Joint Power Allocation and Load Balancing Optimization for Energy-Efficient Cell-Free Massive MIMO Networks,” IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6798–6812, 2020.
- C. D’Andrea and E. G. Larsson, “Improving Cell-Free Massive MIMO by Local Per-Bit Soft Detection,” IEEE Commun. Lett., vol. 25, no. 7, pp. 2400–2404, 2021.
- G. Dong, “Energy-Efficiency-Oriented Joint User Association and Power Allocation in Distributed Massive MIMO Systems,” IEEE Trans. Veh. Technol., vol. 68, no. 6, pp. 5794–5808, 2019.
- R. Wang et al., “Performance of Cell-Free Massive MIMO With Joint User Clustering and Access Point Selection,” IEEE Access, vol. 9, pp. 40860–40870, 2021.
- “Robust MMSE Precoding and Power Allocation for Cell-Free Massive MIMO Systems,” IEEE Trans. Veh. Technol., vol. 70, no. 5, pp. 5115–5120, 2021.
- S. Chen et al., “Structured Massive Access for Scalable Cell-Free Massive MIMO Systems,” J. Sel. Areas Commun., vol. 39, no. 4, pp. 1086–1100, 2021.
- “Adaptive LLR-based APs selection for grant-free random access in cell-free massive MIMO,” in 2022 IEEE Globecom Workshops (GC Wkshps), 2022, pp. 196–201.
- X. Wang and H. V. Poor, “Iterative (turbo) soft interference cancellation and decoding for coded CDMA,” IEEE Trans. Commun., vol. 47, no. 7, pp. 1046–1061, 1999.
- T. Van Chien et al., “Large-Scale-Fading Decoding in Cellular Massive MIMO Systems With Spatially Correlated Channels,” IEEE Trans. on Commun., vol. 67, no. 4, pp. 2746–2762, 2019.
- E. Björnson et al., Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency, vol. 11, Now Publishers Inc., Hanover, MA, USA, nov 2017.
- R. C. de Lamare, “Adaptive and Iterative Multi-Branch MMSE Decision Feedback Detection Algorithms for Multi-Antenna Systems,” IEEE Trans. Wireless Commun., vol. 12, no. 10, pp. 5294–5308, 2013.
- “Joint channel estimation and data detection in cell-free massive mu-mimo systems,” IEEE Trans. on Wireless Commun., vol. 21, no. 6, pp. 4068–4084, 2022.
- “Distributed robust beamforming based on low-rank and cross-correlation techniques: Design and analysis,” IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6411–6423, 2019.
- R. C. de Lamare and R. Sampaio-Neto, “Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems,” IEEE Trans. Commun., vol. 56, no. 5, pp. 778–789, 2008.
- “Multiple feedback successive interference cancellation detection for multiuser mimo systems,” IEEE Transactions on Wireless Communications, vol. 10, no. 8, pp. 2434–2439, 2011.
- P. Li and R. C. de Lamare, “Adaptive Decision-Feedback Detection With Constellation Constraints for MIMO Systems,” IEEE Trans. Veh. Technol., vol. 61, no. 2, pp. 853–859, 2012.
- “Distributed iterative detection with reduced message passing for networked mimo cellular systems,” IEEE Transactions on Vehicular Technology, vol. 63, no. 6, pp. 2947–2954, 2014.
- “Iterative Detection and Decoding Algorithms for MIMO Systems in Block-Fading Channels Using LDPC Codes,” IEEE Trans. Veh. Technol., vol. 65, no. 4, pp. 2735–2741, 2016.
- “Iterative Detection and Decoding for Large-Scale Multiple-Antenna Systems With 1-Bit ADCs,” IEEE Wireless Commun. Lett., vol. 7, no. 3, pp. 476–479, 2018.
- “Adaptive activity-aware iterative detection for massive machine-type communications,” IEEE Wireless Communications Letters, vol. 8, no. 6, pp. 1631–1634, 2019.
- “Dynamic oversampling for 1-bit adcs in large-scale multiple-antenna systems,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 3423–3435, 2021.
- “Detection techniques for massive machine-type communications: Challenges and solutions,” IEEE Access, vol. 8, pp. 180928–180954, 2020.
- “Multiuser-mimo systems using comparator network-aided receivers with 1-bit quantization,” IEEE Transactions on Communications, vol. 71, no. 2, pp. 908–922, 2023.
- “Iterative List Detection and Decoding for Massive Machine-Type Communications,” IEEE Trans. Commun., vol. 68, no. 10, pp. 6276–6288, 2020.
- A. Matache et al., “Reduced complexity MIMO detectors for LDPC coded systems,” in IEEE MILCOM 2004. Military Communications Conference, 2004, vol. 2, pp. 1073–1079 Vol. 2.
- “Low-latency reweighted belief propagation decoding for ldpc codes,” IEEE Communications Letters, vol. 16, no. 10, pp. 1660–1663, 2012.
- “Knowledge-aided informed dynamic scheduling for ldpc decoding of short blocks,” IET Communications, vol. 12, no. 9, pp. 1094–1101, 2018.
- Roberto B. Di Renna and Rodrigo C. de Lamare, “Dynamic message scheduling based on activity-aware residual belief propagation for asynchronous mmtc,” IEEE Wireless Communications Letters, vol. 10, no. 6, pp. 1290–1294, 2021.
- “Joint channel estimation, activity detection and data decoding based on dynamic message-scheduling strategies for mmtc,” IEEE Transactions on Communications, vol. 70, no. 4, pp. 2464–2479, 2022.
- “Design of capacity-approaching irregular low-density parity-check codes,” IEEE Transactions on Information Theory, vol. 47, no. 2, pp. 619–637, 2001.
- “Design of ldpc codes based on multipath emd strategies for progressive edge growth,” IEEE Transactions on Communications, vol. 64, no. 8, pp. 3208–3219, 2016.