Resource allocation algorithm based on energy efficiency optimization in cognitive cellular heterogeneous networks

被引：0
|
作者：
Zhuang L. [1 ]
Yin Y. [1 ]
Zhao X. [1 ]
Zhao X. [1 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
来源：
| 2018年 / Huazhong University of Science and Technology卷 / 46期
关键词：
Cognitive cellular heterogeneous networks; Convex optimization; Cross-tier interference; Energy efficiency; Resource allocation;
D O I：
10.13245/j.hust.180303
中图分类号：
学科分类号：
摘要：
In order to solve the problem about the energy consumption due to the large-scale deployment of cognitive femtocell base stations in cognitive cellular heterogeneous networks. The unlink resource allocation algorithm in the two-tier heterogeneous networks was studied. A joint resource allocation based on double loop iteration was proposed. The optimize problem was built to maximize the cognitive system energy efficiency (EE) with considering the quality of service (QoS) requirement of real time user constraint and cross-tier interference constraint. The fractional form of EE was converted into an equivalent problem in subtractive form, then the optimization problem was approximated as convex optimization and solved by iterative method. The simulation results show that the algorithm can converge to the optimal EE quickly and ensure the QoS requirement of real-time users, and effectively improve EE. © 2018, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
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页码：12 / 17and29
页数：1717
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