论文标题
在拥挤的大型MIMO系统中，用于M2M通信的GCICA无赠款随机访问计划
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
论文作者
论文摘要
提出了高成功的随机访问方案的成功率，以支持大量多输出多输出系统中的机器对机器通信的大规模访问。该方案允许主动用户设备（UES）以及由多个子行李箱组成的超级飞行员传输其调制的上行链路消息，向基站（BS）传输。然后，BS通过利用提出的图形组合组合独立的组件分析（GCICA）来解码算法，然后使用估计的CSIS来检测活性UES，通过利用渐近造成大量大量MIMO通道的渐近性传播特征来检测活性UE，然后使用估计的CSI来检测活动UE，从而执行通道状态信息（CSI）信息（CSI）信息（CSI）信息和上行链路消息解码。我们将此提出的方案称为基于GCICA的随机访问（GCICA-RA）方案。我们分析了GCICA-RA方案的成功访问概率，错过的检测概率和上行链路吞吐量。数值结果表明，GCICA-RA方案显着提高了成功的访问概率和上行链路吞吐量，降低了丢失的检测概率，并同时提供了较低的CSI估计误差。
A high success rate of grant-free random access scheme is proposed to support massive access for machine-to-machine communications in massive multipleinput multiple-output systems. This scheme allows active user equipments (UEs) to transmit their modulated uplink messages along with super pilots consisting of multiple sub-pilots to a base station (BS). Then, the BS performs channel state information (CSI) estimation and uplink message decoding by utilizing a proposed graph combined clustering independent component analysis (GCICA) decoding algorithm, and then employs the estimated CSIs to detect active UEs by utilizing the characteristic of asymptotic favorable propagation of massive MIMO channel. We call this proposed scheme as GCICA based random access (GCICA-RA) scheme. We analyze the successful access probability, missed detection probability, and uplink throughput of the GCICA-RA scheme. Numerical results show that, the GCICA-RA scheme significantly improves the successful access probability and uplink throughput, decreases missed detection probability, and provides low CSI estimation error at the same time.
