Price-Based Power Control Algorithm in Cognitive Radio Networks via Branch and Bound

被引：2
|
作者：
Wang, Zhengqiang [1 ]
Xiao, Wenrui [1 ]
Wan, Xiaoyu [1 ]
Fan, Zifu [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Inst Next Generat Network, Chongqing 400065, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2019年 / E102D卷 / 03期
基金：
中国国家自然科学基金;
关键词：
power control; cognitive radio; branch and bound; Stackelberg game; ALLOCATION ALGORITHM; RESOURCE-ALLOCATION;
D O I：
10.1587/transinf.2018EDP7050
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Price-based power control problem is investigated in the spectrum sharing cognitive radio networks (CRNs) by Stackelberg game. Using backward induction, the revenue function of the primary user (PU) is expressed as a non-convex function of the transmit power of the secondary users (SUs). To solve the non-convex problem of the PU, a branch and bound based price-based power control algorithm is proposed. The proposed algorithm can be used to provide performance benchmarks for any other low complexity sub-optimal price-based power control algorithms based on Stackelberg game in CRNs.
引用
收藏
页码：505 / 511
页数：7
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