Downlink Beamforming for SWIPT Multi-User MISO Underlay Cognitive Radio Networks

Lina Mohjazi, Imtiaz Ahmed, Sami Muhaidat, Mehrdad DIanati, Mahmoud Al-Qutayri

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


This letter investigates downlink beamforming for simultaneous wireless information and power transfer in multi-user multi-input single-output underlay cognitive radio networks. Under the assumption of the integrated power splitting (PS) receiver architecture at the secondary receivers, we aim to minimize the total transmission power from the secondary base station by jointly optimizing the beamforming vectors and the PS ratios. We first exploit the structure of the relaxed problem to provide a closed form expression for the optimal solution. Since the underlying optimization problem is non-convex, we resort to semidefinite programming relaxation and we analytically prove that the relaxation is in fact tight and yields optimal beamforming solution.

Original languageBritish English
Article number7600427
Pages (from-to)434-437
Number of pages4
JournalIEEE Communications Letters
Issue number2
StatePublished - Feb 2017


  • cognitive radio
  • Downlink beamforming
  • semi-definite programming
  • wireless power transfer


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