Frequency Reuse of Beam Allocation for Multiuser Massive MIMO Systems

Junyuan Wang, Huiling Zhu, Nathan J. Gomes, Jiangzhou Wang

Research output: Contribution to journalArticle (journal)peer-review

22 Citations (Scopus)
134 Downloads (Pure)


Massive multiple-input-multiple-output (MIMO) has become a promising technique to provide high-data-rate communication in fifth-generation (5G) mobile systems, thanks to its ability to form narrow and high-gain beams. Among various massive MIMO beamforming techniques, the fixed-beam scheme has attracted considerable attention due to its simplicity. In this paper, we focus on a fixed-beam based multiuser massive MIMO system where each user is served by a beam allocated to it. To maximize the sum data rate, a greedy beam allocation algorithm is proposed under the practical condition that the number of radio frequency (RF) chains is smaller than the number of users. Simulation results show that our proposed greedy algorithm achieves nearly optimal sum data rate. As only the sum data rate is optimized, there are some “worst-case” users who could suffer from strong inter-beam interference and thus experience low data rate. To improve the individual data rates of the worst-case users while maintaining the sum data rate, an adaptive frequency reuse scheme is proposed. Simulation results corroborate that our proposed adaptive frequency reuse strategy can greatly improve the worst-case users’ data rates and the max-min fairness among served users without sacrificing the sum data rate.
Original languageEnglish
Pages (from-to)2346-2359
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number4
Early online date23 Jan 2018
Publication statusPublished - 1 Apr 2018


  • Frequency reuse
  • beam allocation
  • achievable data rate
  • worst-case users
  • massive multiple-input-multiple-output (MIMO)


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