Maximization of Minimum Rate for Wireless Powered Communication Networks in Interference Channel

Hanjin Kim, Hoon Lee, Seokju Jang, Jihwan Moon, Inkyu Lee

Research output: Contribution to journalArticle

Abstract

This paper investigates wireless powered communication networks in an interference channel. In this system, due to asymmetric time allocation of the downlink and the uplink among multiple cells, cross-link interference may occur which significantly affects the overall performance. Considering this interference issue, we study a minimum rate maximization problem to overcome a severe imbalance on a rate distribution among users. The minimum rate maximization problem is non-convex, and thus we propose an algorithm that updates the time allocation and the users’ transmit power based on the Lagrangian duality method and the Perron-Frobenius theorem, respectively. Simulation results verify that the proposed methods outperform conventional schemes.

Original languageEnglish
JournalIEEE Communications Letters
DOIs
Publication statusAccepted/In press - 2018 May 14

Fingerprint

Radio interference
Interference Channel
Wireless Communication
Communication Networks
Telecommunication networks
Wireless Networks
Interference
Perron-Frobenius Theorem
Duality Method
Lagrangian Duality
Lagrangian Method
Uplink
Update
Verify
Cell
Simulation

Keywords

  • Communication networks
  • Interference channels
  • Moon
  • Protocols
  • Resource management
  • Wireless communication

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Maximization of Minimum Rate for Wireless Powered Communication Networks in Interference Channel. / Kim, Hanjin; Lee, Hoon; Jang, Seokju; Moon, Jihwan; Lee, Inkyu.

In: IEEE Communications Letters, 14.05.2018.

Research output: Contribution to journalArticle

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