DocumentCode
2915029
Title
Sum Capacity Scaling Law of Opportunistic Relaying for MIMO Wireless Communication
Author
Sun, Liang ; McKay, Matthew R.
Author_Institution
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
fYear
2010
fDate
23-27 May 2010
Firstpage
1
Lastpage
5
Abstract
We consider a setup where a source communicates with a destination, both equipped with M antennas, assisted by K single-antenna relays using an amplify-and-forward half-duplex protocol. In contrast to conventional approaches where all relays in the network participate, we propose a new opportunistic relaying protocol in which only a few very important relays (VIRs) are selected to share the total power. Assuming perfect channel state information (CSI) at the destination and CSI of the backward channels for the selected VIRs at the source node, we show that the network capacity scales as M/2 log log K + O(1) for fixed M, fixed signal-to-noise ratio, and K → ∞. We also propose two low complexity algorithms for selecting the VIRs, and show that our proposed opportunistic relaying protocol can achieve the optimal capacity scaling, and also yield significant capacity gains compared with the conventional approach.
Keywords
MIMO communication; antennas; computational complexity; protocols; MIMO wireless communication; amplify-and-forward half-duplex protocol; backward channels; channel state information; low complexity algorithm; opportunistic relaying protocol; optimal capacity scaling; single antenna relays; sum capacity scaling law; Channel state information; Communications Society; Fading; Information technology; MIMO; Peer to peer computing; Protocols; Relays; Sun; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2010 IEEE International Conference on
Conference_Location
Cape Town
ISSN
1550-3607
Print_ISBN
978-1-4244-6402-9
Type
conf
DOI
10.1109/ICC.2010.5502766
Filename
5502766
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