作者
Jun-Pyo Hong, Wan Choi, Bhaskar D Rao
发表日期
2014/10/15
期刊
IEEE Transactions on Wireless Communications
卷号
14
期号
2
页码范围
998-1010
出版商
IEEE
简介
This paper considers random multiple access in a network where only a small portion of users have data to forward and transmit packets in each time slot because the user activity ratio is not high in practice. For this reason, the access point (AP) has to not only identify the users who transmitted but also decode the received data codewords. Exploiting the sparsity of transmitting users, Lasso, which is a well-known practical compressed sensing algorithm, is applied for efficient user identification. The compressed sensing algorithm enables the AP to handle more users than the conventional random multiple access schemes do. We develop distributed scheduling methods for maximizing the system sum throughput, and we analyze the corresponding optimal throughput for three different cases of channel knowledge, i.e., the channel state information at the transmitter (CSIT), the channel state information at the receiver …
学术搜索中的文章
JP Hong, W Choi, BD Rao - IEEE Transactions on Wireless Communications, 2014