Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels

Research output: Research - peer-reviewConference contribution

  • Authors:
  • Jie Tang
  • Ka Chun So
  • Arman Shojaeifard
  • Kai-Kit Wong


In this paper, we address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (MIMO-BC) with time-switching (TS) receiver design. Our aim is to maximize the EE of the system whilst satisfying certain constraints in terms of maximum transmit power and minimum harvested energy per user. The coupling of the optimization variables, namely, transmit covariance matrices and TS ratios, leads to a EE problem which is non-convex, and hence very difficult to solve directly. Hence, we transform the original maximization problem with multiple constraints into a min-max problem with a single constraint and multiple auxiliary variables.We propose a dual inner/outer layer resource allocation framework to tackle the problem. For the inner-layer, we invoke an extended SWIPT-based BC-multiple access channel (MAC) duality approach and provide an iterative resource allocation scheme under fixed auxiliary variables for solving the dual MAC problem. A sub-gradient searching scheme is then proposed for the outer-layer in order to obtain the optimal auxiliary variables. Numerical results confirm the effectiveness of the proposed algorithms and illustrate that significant performance gain in terms of EE can be achieved by adopting the proposed extended BC-MAC duality-based algorithm.

Bibliographical metadata

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference Spring 2017
PublisherInstitute of Electrical and Electronics Engineers
StatePublished - 2017
Event2017 IEEE 85th Vehicular Technology Conference - Sydney, Australia
Duration: 4 Jun 20177 Jun 2017


Conference2017 IEEE 85th Vehicular Technology Conference
Abbreviated titleVTC2017-Spring
Internet address