Optimal Resource Allocation for Energy Harvesting Communication Networks Under Statistical QoS Constraints

Tewodros A. Zewde, Mustafa C Gursoy

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

In this paper, we characterize the optimal strategies focusing on the throughput and the system energy efficiency of wireless-powered communication networks (WPCN) in the presence of delay-limited sources. Each energy-harvesting user equipment is assumed to be subject to limitations on the buffer overflow probability, specified by the quality of service (QoS) exponent θ. Correspondingly, the time allocation strategies for downlink energy harvesting and uplink information transfer depend on these QoS constraints, potentially overriding the doubly near-far problem of WPCNs. We consider non-orthogonal transmission and timedivision multiple access (TDMA) protocols for the uplink information transfer of WPCN, and for both cases, we formulate energy efficiency and throughput maximizing problems to obtain the globally optimal solution that satisfy the statistical QoS constraints. Since these optimization problems fall into concave or pseudoconcave categories, Karush-Kuhn-Tucker (KKT) conditions are necessary and sufficient for global optimality, using which we obtain analytical expressions for the optimal operating intervals. Additionally, in several cases, due to difficulty in providing closedform expressions, we develop algorithms to solve the problems numerically. Finally, we provide simulation results to confirm and further analyze the theoretical characterizations. We mainly observe that QoS constraints primarily affect the optimal time allocation policies as well as achievable rate distribution among the users, enabling us to overcome the doubly near-far problem of energy harvesting communications networks pointed out as one of the critical issues in the literature.

Original languageEnglish (US)
JournalIEEE Journal on Selected Areas in Communications
DOIs
StateAccepted/In press - Jan 1 2018

Keywords

  • Buffer overflow probability
  • effective capacity
  • energy efficiency
  • energy harvesting
  • throughput
  • wireless information and power transfer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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