DocumentCode
1371882
Title
Network Coordinated Beamforming for Cell-Boundary Users: Linear and Nonlinear Approaches
Author
Chae, Chan-Byoung ; Kim, Sang-hyun ; Heath, Robert W., Jr.
Author_Institution
Alcatel-Lucent Bell Labs., Murray, NJ, USA
Volume
3
Issue
6
fYear
2009
Firstpage
1094
Lastpage
1105
Abstract
In this paper, low-complexity linear and nonlinear network coordinated beamforming (N-CBF) algorithms are proposed for the multi-cell downlink channel. We consider a downlink scenario with three base stations (BSs) equipped with one transmit antenna each and three mobile users, each of which has more than one receive antenna and is located on the cell-boundary. A single data stream is transmitted to all three cell-boundary users where each user receives his/her own independent data stream (called full broadcast channel), or where two users receive the same data stream while the third user receives a different data stream (called clustered broadcast channel). For full and clustered broadcast channel scenarios, we propose low-complexity linear N-CBF algorithms approaching the sum capacity realized by multi-cell dirty paper coding. We also propose low complexity nonlinear N-CBF algorithms that avoid power enhancement and maximize the effective channel gain for enhancing the bit error rate (BER). The impact of the number of receive antennas on the behavior of the proposed system is also discussed. Monte Carlo simulations are carried out to verify the sum rate and BER performances of the proposed algorithms.
Keywords
MIMO communication; Monte Carlo methods; array signal processing; broadcast channels; error statistics; interference suppression; transmitting antennas; MIMO; Monte Carlo simulations; base stations; bit error rate; cell-boundary users; clustered broadcast channel; data stream; full broadcast channel; interference suppression; mobile users; multi-cell dirty paper coding; multi-cell downlink channel; multiple input multiple output systems; network coordinated beamforming; transmit antenna; Array signal processing; Bit error rate; Broadcasting; Clustering algorithms; Downlink; Iterative algorithms; MIMO; Receiving antennas; Signal processing algorithms; Wireless communication; Broadcast channel; coordinated beamforming; interference alignment; interference suppression; multi-input multi-output (MIMO) systems; multicast channel; multiuser system; vector perturbation;
fLanguage
English
Journal_Title
Selected Topics in Signal Processing, IEEE Journal of
Publisher
ieee
ISSN
1932-4553
Type
jour
DOI
10.1109/JSTSP.2009.2035857
Filename
5370676
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