Resource Allocation for OFDMA-based Cognitive Networks: An Interference-Efficient Perspective

被引：0
|
作者：
Xu, Yongjun [1 ,2 ]
Li, Guoquan [1 ]
Liu, Qilie [1 ]
Wang, Zhengqiang [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun CQUPT, Chongqing 400065, Peoples R China
[2] Shandong Prov Key Lab Wireless Commun Technol, Jinan, Peoples R China
来源：
2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL) | 2019年
基金：
中国国家自然科学基金;
关键词：
Cognitive radio networks; interference efficiency; resource allocation; OFDMA;
D O I：
10.1109/vtcfall.2019.8891413
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the interference-efficient based resource allocation for uplink transmission in an OFDMA-based cognitive radio network is studied. The interference efficiency (IE) is defined as the total data rate of secondary users (SUs) over sum interference power imposed on primary users (PUs). The objective is to maximize the total IE of SUs subject to transmit power constraints of SUs, subcarrier assignment constraint and the interference power threshold constraints of SUs. The original mixed integer fractional programming problem is converted into the convex one which is solved by using the convex optimization technique. Simulation results show the effectiveness of the proposed algorithm in terms of the interference to PUs and transmission efficiency.
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页数：5
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