DocumentCode :
1370039
Title :
Distributed MIMO Receiver—Achievable Rates and Upper Bounds
Author :
Sanderovich, A. ; Shamai, Shlomo ; Steinberg, Y.
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
Volume :
55
Issue :
10
fYear :
2009
Firstpage :
4419
Lastpage :
4438
Abstract :
A multiple-input multiple-output (MIMO) system with a distributed receiver is considered. The system consists of a nomadic transmitter with several antennas, whose signal is received by multiple agents, exhibiting independent channel gains and an additive circular-symmetric Gaussian noise. In the nomadic regime, we assume that the agents do not have any decoding ability. These agents process their channel observations and forward them to the final destination through unidirectional lossless links with a fixed capacity. We propose new achievable rates based on elementary compression and on Wyner-Ziv (WZ)or chief executive officer (CEO) processing, for both fast-fading and block-fading channels, as well as for general discrete channels. The simpler two agents scheme is solved, up to an implicit equation with a single variable. Limiting the nomadic transmitter to circular-symmetric Gaussian signaling, new upper bounds are derived, based on the vector version of the entropy power inequality. Several asymptotic settings are analyzed. In addition, the upper bounds are analytically shown to be tight for several examples, while numerical calculations reveal a rather small gap in a finite 2 times 2 setting. The advantage of the WZ approach over elementary compression is shown, where only the former can achieve the optimal diversity-multiplexing tradeoff (DMT).
Keywords :
Gaussian noise; MIMO communication; antenna arrays; diversity reception; fading channels; multiplexing; radio receivers; radio transmitters; transmitting antennas; Wyner-Ziv processing; antennas; block-fading channel; chief executive officer processing; circular-symmetric Gaussian signaling; decoding ability; discrete channels; distributed MIMO receiver; diversity-multiplexing tradeoff; elementary compression; entropy power inequality; fast-fading channel; independent channel gains; multiple agents; multiple-input multiple-output system; nomadic transmitter; unidirectional lossless links; upper bounds; Additive noise; Decoding; Equations; Gaussian noise; Limiting; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Upper bound; Chief executive officer (CEO) processing; Wyner–Ziv (WZ); com- press-and-forward; decentralized detection; multiple-input multiple-output (MIMO) system; wireless networks;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2009.2027579
Filename :
5238767
Link To Document :
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