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Entropy 2017, 19(8), 393; doi:10.3390/e19080393

Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design

1
Department of Electronics Engineering, Chungnam National University, Daejeon 34134, Korea
2
Department of Electronics Engineering, Korea Polytechnic University, Siheung 15073, Korea
3
Department of Computer Science and Engineering, Dankook University, Yongin 448-701, Korea
4
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST)
*
Author to whom correspondence should be addressed.
Received: 31 May 2017 / Revised: 18 July 2017 / Accepted: 27 July 2017 / Published: 29 July 2017
(This article belongs to the Special Issue Network Information Theory)
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Abstract

We introduce a distributed protocol to achieve multiuser diversity in a multicell multiple-input multiple-output (MIMO) uplink network, referred to as a MIMO interfering multiple-access channel (IMAC). Assuming both no information exchange among base stations (BS) and local channel state information at the transmitters for the MIMO IMAC, we propose a joint beamforming and user scheduling protocol, and then show that the proposed protocol can achieve the optimal multiuser diversity gain, i.e., KMlog(SNRlog N), as long as the number of mobile stations (MSs) in a cell, N, scales faster than SNR K M L 1 ϵ for a small constant ϵ > 0, where M, L, K, and SNR denote the number of receive antennas at each BS, the number of transmit antennas at each MS, the number of cells, and the signal-to-noise ratio, respectively. Our result indicates that multiuser diversity can be achieved in the presence of intra-cell and inter-cell interference even in a distributed fashion. As a result, vital information on how to design distributed algorithms in interference-limited cellular environments is provided. View Full-Text
Keywords: interference management; user scheduling; multi-cell networks; beamforming; multiple antennas interference management; user scheduling; multi-cell networks; beamforming; multiple antennas
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jung, B.C.; Kim, S.M.; Shin, W.-Y.; Yang, H.J. Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design. Entropy 2017, 19, 393.

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