QoS-driven resource allocation for SWIPT with finite-alphabet inputs

Tewodros A. Zewde, Mustafa C Gursoy

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations


In this paper, we consider a wireless scenario in which multiple-nodes operating under delay constraints transmit finite alphabet input signals for simultaneous wireless information and power transfer (SWIPT). These nodes communicate through time-division multiple access channels, and the receiving node harvests energy from the received signal while decoding information by applying power splitting scheme. In addition, the transmitting nodes are subject to limitations on the buffer overflow probability, specified by the quality of service (QoS) exponent. Due to harvested energy constraint, we have introduced a novel approach that assigns probabilities non-uniformly to different signals in the constellation which improves the overall performance in terms of throughput and energy efficiency (EE). We formulate optimization problems to maximize the effective capacity and effective EE while taking input signal probabilities, operating intervals, and splitting factor into account. Since obtaining closed-form expressions for the optimization parameters is unlikely, we develop an algorithm to determine the solutions numerically. In the numerical results, we observe that QoS constraints primarily affect achievable rate distribution among the users, and override the channel conditions. In addition, having static slope characteristics for non-uniform probability assignment is more energy efficient than having dynamic characteristics.

Original languageEnglish (US)
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
StatePublished - May 10 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: Mar 19 2017Mar 22 2017


Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Country/TerritoryUnited States
CitySan Francisco


  • Effective capacity
  • Energy efficiency
  • Finitealphabet input
  • Mutual information
  • Power-splitting

ASJC Scopus subject areas

  • Engineering(all)


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