Fairness-Aware Energy-Efficient Resource Allocation for Uplink OFDMA Networks with Statistical QoS Requirements

被引：0

作者：

Li, Guowei ^{[1
]}

Yang, Jian ^{[1
]}

Liu, Xuefang ^{[1
]}

Yang, Qinghai ^{[1
]}

Xin, Yongshe ^{[2
]}

机构：

[1] Xidian Univ, State Key Lab ISN, Sch Telecommun Engn, 2 Taibainan Lu, Xian 710071, Shaanxi, Peoples R China

[2] Gaomi Power Supply Co, Gaomi, Shandong, Peoples R China

来源：

2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2016年

关键词：

Fairness; energy-efficient; resource allocation; OFD-MA; quality of service (QoS); QUALITY; SERVICE; CAPACITY; SUPPORT;

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：

In this paper, we investigate the energy-efficiency (EE) of a user equipment (UE) experiencing the worst channel conditions, which is named worst-EE. Due to the limitation on the capacity of the mobile equipments' battery, the worst EE is suitable for EE fairness optimization in the uplink transmissions of orthogonal frequency division multiple access (OFDMA) networks. In order to maximize the worst-EE, we formulate a max-min power and sub-carrier allocation problem, which is NP-hard. With the aid of the Powell-Hestenes-Rockfellar (PHR) approach, we propose a fairness EE subcarrier and power allocation algorithm. Finally, simulation results demonstrate the advantages of the proposed algorithm.

引用

页码：58 / 62

页数：5

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