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针对智能超表面（Reconfigurable Intelligent Surface,RIS）辅助通信中低信噪比条件下编码波束训练易受噪声扰动、硬判决译码可靠性不足的问题，提出一种自适应可靠度辅助编码波束训练方法。该方法在不改变原始训练码本和导频发送流程的基础上，利用每层4组候选波束组合的接收功率差异构造比特可靠度，并将该可靠度信息嵌入校验综合辅助译码过程，使译码器优先修正低可靠度判决位。为降低可靠度辅助译码在中高信噪比场景下可能产生的误纠风险，进一步设计自适应选择机制，在原始译码结果与可靠度辅助译码结果之间进行动态切换。复杂度分析表明，在二比特候选翻转搜索在码字长度为14时仅需比较105个候选错误模式，且不增加导频训练开销。仿真结果表明，所提方法在中低信噪比区间能够提升波束训练成功率和可达速率；在-5dB时，成功率提升11.9个百分点，可达速率相对提升约46.375%。同时，候选翻转阶数、有限相位RIS、不同RIS规模及多随机种子实验进一步验证了该方法的译码复杂度折中能力、硬件适配性、规模泛化能力和稳定性。
Abstract：Aiming at the problem that the coded beam training is susceptible to noise disturbance and the reliability of hard decision decoding is insufficient under the condition of low signal-to-noise ratio in Reconfigurable Intelligent Surface( RIS) aided communication, an adaptive reliability aided coded beam training method is proposed. This method constructs bit reliability by using the received power difference of four groups of candidate beam combinations in each layer without changing the original training codebook and the transmission process of the guide frequency, and embeds the reliability information into the check synthesis auxiliary decoding process, so that the decoder preferentially corrects the low reliability decision bits. In order to reduce the risk of error correction caused by reliability-assisted decoding in medium and high SNR scenarios, an adaptive selection mechanism is further designed to dynamically switch between the original decoding results and the reliability-assisted decoding results. Complexity analysis shows that the two-bit candidate flip search only needs to compare 105 candidate error modes when the codeword length is 14, and does not increase the pilot training overhead. The simulation results show that the proposed method can improve the success rate and achievable rate of beam training in the middle and low signal-to-noise ratio range. At-5 dB, the success rate is increased by 11.9 percentage points, and the achievable rate is increased by about 46.375 %. At the same time, the candidate flip order, finite phase RIS, different RIS scale and multiple random seed experiments further verify the decoding complexity compromise ability, hardware adaptability, scale generalization ability and stability of the method.
[1]BASAR E, DI RENZO M, DE ROSNY J, et al. Wireless communications through reconfigurable intelligent surfaces[J]. IEEE Access, 2019, 7:116753-116773.
[2]DI RENZO M, ZAPPONE A, DEBBAH M, et al. Smart radio environments empowered by reconfigurable intelligent surfaces:How it works, state of research, and road ahead[J].IEEE Journal on Selected Areas in Communications, 2020,38(11):2450-2525.
[3]WU Q, ZHANG R. Towards smart and reconfigurable environment:Intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020, 58(1):106-112.
[4]ZHENG B, YOU C, MEI W, et al. A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications[J]. IEEE Communications Surveys&Tutorials, 2022, 24(2):1035-1071.
[5]WANG Z, LIU L, CUI S. Channel estimation for intelligent reflecting surface assisted multiuser communications:Framework, algorithms, and analysis[J]. IEEE Transactions on Wireless Communications, 2020, 19(10):6607-6620.
[6]NADEEM Q U A, ALWAZANI H, KAMMOUN A, et al.Intelligent reflecting surface-assisted multi-user MISO communication:Channel estimation and beamforming design[J]. IEEE Open Journal of the Communications Society, 2020, 1:661-680.
[7]YOU C, ZHENG B, ZHANG R. Fast beam training for IRSassisted multiuser communications[J]. IEEE Wireless Communications Letters, 2020, 9(11):1845-1849.
[8]WANG J, TANG W, JIN S, et al. Hierarchical codebookbased beam training for RIS-assisted mm Wave communication systems[J]. IEEE Transactions on Communications, 2023, 71(6):3650-3662.
[9]ZHENG T, ZHU J, YU Q, et al. Coded beam training[J].IEEE Journal on Selected Areas in Communications, 2025,43(3):928-943.
[10]CHEN Y, DAI L. Coded beam training for RIS-assisted wireless communications[J]. IEEE Transactions on Wireless Communications, 2025, 24(5):3854-3867.
[11]CHASE D. A class of algorithms for decoding block codes with channel measurement information[J]. IEEE Transactions on Information Theory, 1972, 18(1):170-182.
[12]FOSSORIER M P C, LIN S. Soft-decision decoding of linear block codes based on ordered statistics[J]. IEEE Transactions on Information Theory, 1995, 41(5):1379-1396.
[13]WU Q, ZHANG R. Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts[J]. IEEE Transactions on Communications,2020, 68(3):1838-1851.
[14]DAI L, WANG B, WANG M, et al. Reconfigurable intelligent surface-based wireless communications:Antenna design, prototyping, and experimental results[J]. IEEE Access, 2020, 8:45913-45923.
[15]XU Y, HUANG C, WEI L, et al. Low-complexity beam training for multi-RIS-assisted multi-user communications[J]. IEEE Wireless Communications Letters,2024, 13(8):2030-2034.
[16]LV S, LIU Y, XU X, et al. RIS-aided near-field MIMO communications:Codebook and beam training design[J].IEEE Transactions on Wireless Communications, 2024,23(9):12531-12546.
[17]WANG J, XIAO J, ZOU Y, et al. Wideband beamforming for RIS-assisted near-field communications[J]. IEEE Transactions on Wireless Communications, 2024, 23(11):16836-16851.
[18]MU X, XU J, LIU Y, et al. Reconfigurable intelligent surface-aided near-field communications for 6G:Opportunities and challenges[J]. IEEE Vehicular Technology Magazine, 2024, 19(1):65-74.
基本信息:
中图分类号:TN911.22
引用信息:
[1]雷芳,何君梁,陈锦洋.RIS编码波束训练的自适应可靠度辅助译码方法[J].无线电通信技术().
基金信息:
重庆市自然科学基金创新发展联合基金(中国星网)资助项目(CSTB2023NSCQ-LZX0114)
2026-07-01
2026-07-01
2026-07-01