Bitmask Dynamic Programming for User Scheduling in Multi-User MIMO mmWave Systems

Thuan Van Le, Kyungchun Lee, Nguyen Cong Luong

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this work, we propose a novel bitmask dynamic programming (BDP) algorithm for user scheduling in multi-user mmWave systems. Unlike traditional greedy schemes that provide suboptimal solutions, the proposed BDP algorithm aims to find the optimal solution for maximizing the sum of the proportional fair-metric (PF-metric) problem. Simulation results demonstrate that the BDP algorithm outperforms the greedy schemes in terms of sum throughput and system fairness. The computational complexity of the proposed BDP algorithm is further analyzed, and simulation results show that its computational complexity remains favorable even with the increase in the number of mobile stations (MSs).

Original languageEnglish
Pages (from-to)3365-3369
Number of pages5
JournalIEEE Communications Letters
Volume27
Issue number12
DOIs
StatePublished - 1 Dec 2023

Keywords

  • Bitmask dynamic programming
  • adaptive perturbation
  • mmWave systems
  • opportunistic hybrid beamforming
  • user scheduling

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