Sum Throughput Maximization for Multi-User MIMO Cognitive Wireless Powered Communication Networks

Jaein Kim, Hoon Lee, Changick Song, Taeseok Oh, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)


In this paper, we study multi-user multi-input multi-output cognitive wireless powered communication networks (WPCN), in which a secondary WPCN shares spectrum with a primary wireless information transfer system. A typical WPCN consists of two different phases. In the first downlink phase, a hybrid access point (H-AP) transfers energy to charge users, and then in the subsequent uplink phase, the users send information by using the harvested energy to the H-AP. We consider two different cognitive WPCN protocols depending on the cooperation level between the primary transmitter and the secondary H-AP. For both cases, we formulate sum throughput maximization problems by taking the interference leakage to the primary network into consideration. The problems are generally non-convex due to coupled variables in the WPCN. To tackle this issue, we first convert the problems into equivalent convex forms, and then identify the global optimal solutions by applying the proposed iterative optimization algorithms. Finally, the simulation results demonstrate that the proposed algorithms outperform conventional schemes.

Original languageEnglish
Article number7762179
Pages (from-to)913-923
Number of pages11
JournalIEEE Transactions on Wireless Communications
Issue number2
Publication statusPublished - 2017 Feb


  • Cognitive radio
  • Energy harvesting
  • Multiple-input multiple-output (MIMO) systems
  • Wireless energy transfer
  • Wireless powered communication networks (WPCN)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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