Title :
Noncooperative Distributed MMSE Schemes for AF SIMO Wireless Relay Networks
Author :
Lee, Kanghee ; Emami, Tooran ; Ibdah, Yazan ; Bi, Yu ; Argade, Sachin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
Abstract :
This paper presents a noncooperative distributed amplify-and-forward (AF) single-input multiple-output (SIMO) wireless relay networks under two adverse wireless communication environments: (1) node geometry and a jamming environment, and (2) channel uncertainty and a jamming environment. All relay nodes in wireless relay networks cannot exchange their received signals from source nodes for relay noncooperation. The main contribution of this paper is the derivation of an optimal diagonal amplifying relay matrix in AF SIMO wireless relay system using the minimum mean square error (MMSE) criterion. To evaluate the effects of two adverse wireless communication environments on the AF SIMO relay scheme, simulation results are presented for a system using the derived optimal diagonal amplifying relay matrix with bit error rate (BER). In addition, performance comparisons under no node geometry, no-jamming environment, and no channel uncertainty were also considered.
Keywords :
amplify and forward communication; channel allocation; error statistics; jamming; least mean squares methods; matrix algebra; radio networks; AF SIMO wireless relay networks; AF SIMO wireless relay system; BER; MMSE criterion; adverse wireless communication environments; bit error rate; channel uncertainty; minimum mean square error criterion; no-jamming environment; node geometry; noncooperative distributed MMSE schemes; noncooperative distributed amplify-and-forward single-input multiple-output wireless relay networks; optimal diagonal amplifying relay matrix; performance comparisons; relay nodes; relay noncooperation; source nodes; Channel estimation; Covariance matrix; Geometry; Jamming; Relays; Uncertainty; Wireless communication; Amplify-and-forward; broadband noise jamming; channel uncertainty; minimum mean square error; node geometry;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0975-3
Electronic_ISBN :
978-0-7695-4482-3
DOI :
10.1109/CICSyN.2011.30