DocumentCode
3095255
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
fYear
2011
fDate
26-28 July 2011
Firstpage
89
Lastpage
94
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CICSyN.2011.30
Filename
6005660
Link To Document