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

被引:13
作者
Wu, Yuan [1 ,2 ]
Yang, Xiaowei [1 ]
Qian, Li Ping [1 ]
Zhou, Haibo [3 ,4 ]
Shen, Xuemin [3 ]
Awad, Mohamad Khattar [5 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[3] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[4] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Peoples R China
[5] Kuwait Univ, Dept Comp Engn, Kuwait 13060, Kuwait
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2018年 / 2卷 / 04期
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Traffic offloading; small cells; energy harvesting; and dual connectivity; RESOURCE-ALLOCATION; OUTAGE PROBABILITY; EFFICIENCY; AWARE;
D O I
10.1109/TGCN.2018.2850843
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:1041 / 1058
页数:18
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