Grid energy consumption and QoS tradeoff in hybrid energy supply wireless networks

Y. Mao, Jun Zhang, K.B. Letaief

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)


© 2002-2012 IEEE.Hybrid energy supply (HES) wireless networks have recently emerged as a new paradigm to enable green networks, which are powered by both the electric grid and harvested renewable energy. In this paper, we will investigate two critical but conflicting design objectives of HES networks, i.e., the grid energy consumption and quality of service (QoS). Minimizing grid energy consumption by utilizing the harvested energy will make the network environmentally friendly, but the achievable QoS may be degraded due to the intermittent nature of energy harvesting. To investigate the tradeoff between these two aspects, we introduce the total service cost as the performance metric, which is the weighted sum of the grid energy cost and the QoS degradation cost. Base station assignment and power control is adopted as the main strategy to minimize the total service cost, while both cases with non-causal and causal side information are considered. With non-causal side information, a Greedy Assignment algorithm with low complexity and near-optimal performance is proposed. With causal side information, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which shall help to develop an efficient monotone backward induction algorithm. To further reduce complexity, a Look-Ahead policy and a Threshold-based Heuristic policy are also proposed. Simulation results shall validate the effectiveness of the proposed algorithms and demonstrate the unique grid energy consumption and QoS tradeoff in HES networks.
Original languageEnglish
Article number7398143
Pages (from-to)3573-3586
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number5
Publication statusPublished - 1 May 2016
Externally publishedYes


  • base station assignment
  • energy harvesting (EH)
  • Green communications
  • hybrid energy supply (HES)
  • Markov decision process (MDP)
  • power control
  • QoS

ASJC Scopus subject areas

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


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