论文标题
基于SCMA的词典学习算法的联合收发器设计
Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA
论文作者
论文摘要
随着对网络容量，吞吐量和连接无线设备的数量的爆炸性增加，对于下一代无线通信而言，大规模连接是一个紧迫的问题。在本文中，我们提出了一种用于大规模连通性的无授予访问协议，该协议利用了基站（BS）中的大量天线，并有望广泛部署在蜂窝网络中。该方案由基于字典学习（DL）的稀疏代码多访问（SCMA）和接收器处理中的稀疏结构组成。大量设备可以在没有任何调度过程的情况下传输数据。与现有的方案（其信号计划需要大量开销）不同，拟议方案所需的调度开销可以忽略不计，这对于资源利用率和传输功率效率很有吸引力。数值结果表明，所提出的方案在蜂窝网络的大规模连通性场景中具有有希望的性能。
With the explosively increasing demands on the network capacity, throughput and number of connected wireless devices, massive connectivity is an urgent problem for the next generation wireless communications. In this paper, we propose a grant-free access protocol for massive connectivity that utilizes a large number of antennas in a base station (BS) and is expected to be widely deployed in cellular networks. The scheme consists of a sparse structure in sparse code multiple access (SCMA) and receiver processing based on dictionary learning (DL). A large number of devices can transmit data without any scheduling process. Unlike existing schemes, whose signal schedulings require a lot of overhead, the scheduling overhead required by the proposed scheme is negligible, which is attractive for resource utilization and transmission power efficiency. The numerical results show that the proposed scheme has promising performance in massive connectivity scenario of cellular networks.
