基于硬决策包络检测和布隆滤波编码的海量连接

Rui Deng, Wenyi Zhang
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引用次数: 0

摘要

大规模连接需要廉价的硬件和低计算复杂度。我们提出了一种不需要信道状态信息(CSI)或多天线的方案,用户发送由开-关键(OOK)调制的布隆滤波器编码的消息,基站(BS)对接收到的信号进行硬决策包络检测。针对用户间同步(IUS)场景,采用噪声组合正交匹配追踪(noise - combinatorial Orthogonal Matching Pursuit, NCOMP)解码策略;针对用户间同步(IUS)场景,采用滑动窗口策略对NCOMP解码策略进行改进。基于多访问模型,研究了该方案在活动识别和消息传输问题上的理论性能。理论分析保证了该方案的误差概率随用户数量渐近消失,并通过有限用户数量的数值实验验证了这一趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Massive Connectivity with Hard-decision Envelope Detection and Bloom Filter Based Coding
Massive connectivity demands cheap hardware and low computational complexity. We propose a scheme without need of channel state information (CSI) or multiple antennas, in which users transmit messages encoded by Bloom filter with On-Off Keying (OOK) modulation, and base station (BS) performs hard-decision envelope detection on received signals. For scenarios with inter-user synchronization (IUS), a Noisy-Combinatorial Orthogonal Matching Pursuit (NCOMP) decoding strategy is applied, and for scenarios without IUS, a sliding window strategy is proposed to modify the NCOMP decoding strategy. Based on a many-access model, we study the theoretical performance of our scheme for activity recognition and message transmission problems. Theoretical analysis guarantees that the error probability of our scheme vanishes asymptotically with the number of users, and this trend is verified by numerical experiments for finite number of users.
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