Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design
Department of Electronics Engineering, Chungnam National University, Daejeon 34134, Korea
Department of Electronics Engineering, Korea Polytechnic University, Siheung 15073, Korea
Department of Computer Science and Engineering, Dankook University, Yongin 448-701, Korea
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
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., KM
), as long as the number of mobile stations (MSs) in a cell, N
, scales faster than
for a small constant ϵ
> 0, where M
, 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.
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).
Share & Cite This Article
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.
Jung BC, Kim SM, Shin W-Y, Yang HJ. Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design. Entropy. 2017; 19(8):393.
Jung, Bang Chul; Kim, Su Min; Shin, Won-Yong; Yang, Hyun Jong. 2017. "Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design." Entropy 19, no. 8: 393.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.