Dual-Connectivity Enabled Traffic Offloading via Small Cells Powered by Energy-Harvesting

被引:0
|
作者
Wu, Yuan [1 ,2 ]
Qian, Li Ping [1 ]
Yang, Xiaowei [1 ]
Zheng, Jianchao [3 ]
Zhou, Haibo [4 ]
Shen, Xuemin [4 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[3] PLA Univ Sci & Technol, Inst Commun Engn, Nanjing, Jiangsu, Peoples R China
[4] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada
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
RESOURCE-ALLOCATION; NETWORKS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Dual-connectivity (DC), an emerging paradigm in the recent 3GPP specification, is envisioned as a promising solution to enhance mobile users' (MUs') traffic offloading by aggregating radio resources at both macro and small cells. In this paper, we investigate the energy-efficient DC-enabled traffic offloading through small cells which are powered by the on-grid power supply and harvesting renewable energy from nature. In spite of reducing the on-grid power consumption, powering traffic offloading by energy harvesting (EH) leads to the offloading outage due to the intermittency in EH power-supply, which degrades the offloading throughput. Therefore, to reap both the advantages of DC and the EH-supply, we propose a joint traffic scheduling and power allocation scheme that aims at minimizing the total on-grid power consumption, while accounting for the offloading outage and guaranteeing the MU's quality of service (QoS) requirement. In spite of the non-convexity nature of the joint optimization of traffic scheduling and power allocation, we propose an algorithm to efficiently compute the optimal offloading solution. Numerical results are provided to validate our proposed algorithm and the performance gain of the proposed DC-enabled traffic offloading scheme.
引用
收藏
页数:6
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