Expectation–maximization‐based joint data detection and channel estimation for a cellular multi‐carrier code division multiple access network using single‐hop relaying

Abstract

This paper is concerned with channel estimation and data detection for a cellular multi-carrier code division multiple access network using single-hop relaying in the presence of frequency selective fading channels. The proposed expectation-maximization (EM) algorithm was used to jointly estimate both the coefficients of the channel between a relay and a base station and the data. EM algorithm is particularly suited to multicarrier code division multiple access systems because they have multi-carrier signal format. The considered network uses single-hop relaying technique to provide a higher quality transmission to the users with low quality channels. The base station (managing mechanism) gives them an opportunity to send their messages via the users with high quality channels in a time sharing mode. The performance of the proposed EM algorithm, with and without hopping and with cooperative communication technique, was analyzed by a computer simulation, and the results are presented.

Low complexity timing estimation and resynchronization for asynchronous bidirectional communications with multiple antenna relay

“…Wireless relaying is an efficient method to increase throughput and extend coverage of wireless networks [1][2][3][4][5]. So far, most existing works on relay networks assume perfect synchronization among different wireless nodes.…”

Sparse least mean fourth algorithm for adaptive channel estimation in low signal‐to‐noise ratio region

“…A typical example of sparse channel is shown in Figure 1. Many sparse channel estimation methods [6][7][8][9][10][11][12][13] have been proposed in the last decade. Unlike these proposed linear methods, we investigate adaptive channel estimation methods in this paper.…”