Next Article in Journal
A Thermodynamic Point of View on Dark Energy Models
Next Article in Special Issue
A View of Information-Estimation Relations in Gaussian Networks
Previous Article in Journal
A Noninformative Prior on a Space of Distribution Functions
Previous Article in Special Issue
Securing Relay Networks with Artificial Noise: An Error Performance-Based Approach
Article Menu
Issue 8 (August) cover image

Export Article

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

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
(This article belongs to the Special Issue Network Information Theory)
View Full-Text   |   Download PDF [981 KB, uploaded 9 August 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., 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

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed 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.

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.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top