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

Zhengqiang WANG  Wenrui XIAO  Xiaoyu WAN  Zifu FAN  

IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.3   pp.505-511
Publication Date: 2019/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDP7050
Type of Manuscript: PAPER
Category: Fundamentals of Information Systems
power control,  cognitive radio,  branch and bound,  Stackelberg game,  

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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.