Optimal Dual-Connectivity Traffic Offloading in Energy-Harvesting Small-Cell Networks

Yuan Wu, Xiaowei Yang, Li Ping Qian, Haibo Zhou, Xuemin Shen, Mohamad Khattar Awad

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Traffic offloading through heterogenous small-cell networks (HSCNs) has been envisioned as a cost-efficient approach to accommodate the tremendous traffic growth in cellular networks. In this paper, we investigate an energy-efficient dual-connectivity (DC) enabled traffic offloading through HSCNs, in which small cells are powered in a hybrid manner including both the conventional on-grid power-supply and renewable energy harvested from environment. To achieve a flexible traffic offloading, the emerging DC-enabled traffic offloading in 3GPP specification allows each mobile user (MU) to simultaneously communicate with a macro cell and offload data through a small cell. In spite of saving the on-grid power consumption, powering traffic offloading by energy harvesting (EH) might lead to quality of service degradation, e.g., when the EH power-supply fails to support the required offloading rate. Thus, to reap the benefits of the DC-capability and the EH power-supply, we propose a joint optimization of traffic scheduling and power allocation that aims at minimizing the total on-grid power consumption of macro and small cells, while guaranteeing each served MU's traffic requirement. We start by studying a representative case of one small cell serving a group of MUs. In spite of the non-convexity of the formulated joint optimization problem, we exploit its layered structure and propose an algorithm that efficiently computes the optimal offloading solution. We further study the scenario of multiple small cells, and investigate how the small cells select different MUs for maximizing the system-wise reward that accounts for the revenue for offloading the MUs' traffic and the cost of total on-grid power consumption of all cells. We also propose an efficient algorithm to find the optimal MU-selection solution. Numerical results are provided to validate our proposed algorithms and show the advantage of our proposed DC-enabled traffic offloading through the EH-powered small cells.

Original languageEnglish
Article number8396309
Pages (from-to)1041-1058
Number of pages18
JournalIEEE Transactions on Green Communications and Networking
Volume2
Issue number4
DOIs
StatePublished - Dec 2018

Keywords

  • Traffic offloading
  • dual connectivity
  • energy harvesting
  • small cells

Funding Agency

  • Kuwait Foundation for the Advancement of Sciences

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