Title :
Joint Precoder Design for Distributed Transmission of Correlated Sources in Sensor Networks
Author :
Jun Fang ; Hongbin Li ; Zhi Chen ; Yu Gong
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
We consider the problem of transmitting multiple spatially distributed correlated sources to a common destination (e.g. a fusion center or an access point) in wireless sensor networks (WSNs). The correlated data from multiple sensors are jointly transmitted to the destination via orthogonal channels. We assume that the channel between each sensor and the receiver is multiple-input multiple-output (MIMO), with each sensor and the receiver equipped with multiple transmit/receive antennas. In this framework, we study the problem of joint linear precoder design for all sensors by assuming the knowledge of the instantaneous channel state information (CSI), aiming at maximizing the mutual information between the sources and the received signals at the destination. We propose a Gauss-Seidel iterative approach which successively optimizes the precoding matrix associated with each sensor, while fixing the other precoding matrices. Numerical results show that the proposed algorithm that takes into account the spatial correlation across sensors can achieve higher capacity than conventional methods that neglect the spatial correlation.
Keywords :
MIMO communication; antenna arrays; iterative methods; matrix algebra; numerical analysis; precoding; receiving antennas; transmitting antennas; wireless sensor networks; CSI; Gauss-Seidel iterative approach; MIMO; WSN; data correlated source; distributed transmission; instantaneous channel state information; joint linear precoder design; multiple sensors; multiple-input multiple-output; numerical analysis; orthogonal channels; precoding matrices; radio receiver; spatial correlation; transmitting-receiving antenna; wireless sensor networks; Gauss-Seidel approach; Precoder design; distributed correlated sources; sensor networks;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2013.050613.121221