Multiple-Level Power Allocation Strategy for Secondary Users in Cognitive Radio Networks
Zhong Chen, Feifei Gao, Zhenwei Zhang, James C. F. Li, and Ming Lei

TL;DR
This paper introduces a multi-level power allocation method for secondary users in cognitive radio networks, optimizing their transmission power based on received energy to enhance data rates while respecting power constraints.
Contribution
It presents a novel multi-level power allocation strategy that improves secondary user performance over traditional binary power schemes in cognitive radio networks.
Findings
Significant increase in SU achievable rate
Effective interference management at PU
Outperforms conventional power strategies
Abstract
In this paper, we propose a multiple-level power allocation strategy for the secondary user (SU) in cognitive radio (CR) networks. Different from the conventional strategies, where SU either stays silent or transmit with a constant/binary power depending on the busy/idle status of the primary user (PU), the proposed strategy allows SU to choose different power levels according to a carefully designed function of the receiving energy. The way of the power level selection is optimized to maximize the achievable rate of SU under the constraints of average transmit power at SU and average interference power at PU. Simulation results demonstrate that the proposed strategy can significantly improve the performance of SU compared to the conventional strategies.
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