论文标题
基于传输通道的二阶统计数据，在FDD大规模MIMO系统中汇率分裂
Rate Splitting in FDD Massive MIMO Systems Based on the Second Order Statistics of Transmission Channels
论文作者
论文摘要
在这项工作中，我们提供了将速率分解多个访问（RSMA）应用于以频率划分 - 双链（FDD）模式运行的大规模多输入 - 多输出（MAMIMO）系统的下行链路（DL）的新结果。由于缺乏上行链路（UL）-DL频道互惠，必须在DL中进行明确的培训，以便获得有关基站（BS）的单人体用户渠道的了解。通过从用户到BS的反馈链接来确保这一点。处理大型MIMO系统的DL意味着获取DL通道状态信息（CSI）的代价是以巨大的培训开销为代价，该开销与BS天线的数量相比。因此，我们通过在BS天线中重复进行试验序列来限制分配给培训的资源，从而导致污染的通道观察。尽管发射器端的这种不完整的通道知识，但与最先进的技术相比，依靠通道的二阶信息的统计预编码器结合了统计预编码器，在光谱效率方面取得了出色的成果。通过典型通信方案的蒙特卡洛模拟来证明这一点。
In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system operating in frequency-division-duplex (FDD) mode. Due to the lack of uplink (UL) - DL channel reciprocity in such systems, explicit training in the DL has to be performed in order to gain knowledge about the single-antenna users' channels at the base station (BS). This is ensured through a feedback link from the users to the BS. Dealing with the DL of a massive MIMO system implies that acquiring the DL channel state information (CSI) comes at the cost of a huge training overhead that scales with the number of BS antennas. Therefore, we limit the resources allocated to training by reusing the pilot sequences among the BS antennas that results in a contaminated channel observation. Despite this incomplete channel knowledge at the transmitter side, the proposed RS approach combined with a statistical precoder relying on the channels' second-order information achieves excellent results in terms of spectral efficiency compared to the state-of-art techniques. This is demonstrated via Monte-Carlo simulations of typical communication scenarios.
