Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks with Energy Harvesting Base Stations

Haijun Zhang, Site Huang, Chunxiao Jiang, Keping Long, Victor C.M. Leung, H. Vincent Poor

Research output: Contribution to journalArticle

235 Scopus citations

Abstract

Millimeter wave (mmWave) communication technologies have recently emerged as an attractive solution to meet the exponentially increasing demand on mobile data traffic. Moreover, ultra dense networks (UDNs) combined with mmWave technology are expected to increase both energy efficiency and spectral efficiency. In this paper, user association and power allocation in mmWave-based UDNs is considered with attention to load balance constraints, energy harvesting by base stations, user quality of service requirements, energy efficiency, and cross-tier interference limits. The joint user association and power optimization problem are modeled as a mixed-integer programming problem, which is then transformed into a convex optimization problem by relaxing the user association indicator and solved by Lagrangian dual decomposition. An iterative gradient user association and power allocation algorithm is proposed and shown to converge rapidly to an optimal point. The complexity of the proposed algorithm is analyzed and its effectiveness compared with existing methods is verified by simulations.

Original languageEnglish (US)
Article number7961156
Pages (from-to)1936-1947
Number of pages12
JournalIEEE Journal on Selected Areas in Communications
Volume35
Issue number9
DOIs
StatePublished - Sep 2017

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Ultra dense networks
  • energy efficiency
  • energy harvesting
  • heterogeneous networks
  • load-balancing
  • millimeter wave
  • power allocation
  • user association

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