Subcarrier and power adaptation for multiuser OFDM-based cognitive radio systems

G. Bansal, Z. Hasan, Jahangir Hossain, V. Bhargava
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引用次数: 40

Abstract

This paper investigates the subcarrier and power allocation problem for an OFDM-based multiuser cognitive radio (CR) system. For CR systems it is important to keep the interference introduced to the primary user (PU) band within a tolerable range. Since the joint subcarrier and power allocation problem is a non-convex integer problem and a closed form solution is difficult to find, a suboptimal algorithm that separates subcarrier and power allocation is proposed. First, a suboptimal subcarrier algorithm is proposed that allocates subcarriers to CR users that not only increase the capacity, but also reduces the interference introduced to the primary user (PU) band. Further, for a given subcarrier allocation an optimal power loading algorithm is proposed that maximizes the capacity of CR users while keeping the interference introduced to the PU band and the total power below a threshold. Simulation results show that for CR systems the proposed algorithm is able to load power into the subcarriers while keeping the interference below a specified threshold.
基于ofdm的多用户认知无线电系统的子载波和功率自适应
研究了基于ofdm的多用户认知无线电(CR)系统的子载波和功率分配问题。对于CR系统,将引入主用户(PU)频段的干扰保持在可容忍的范围内是很重要的。针对联合子载波与功率分配问题是一个非凸整数问题,难以找到封闭形式的解,提出了一种分离子载波与功率分配的次优算法。首先,提出了一种次优子载波算法,将子载波分配给CR用户,既增加了容量,又减少了对主用户(PU)频带的干扰。此外,对于给定的子载波分配,提出了一种最优功率负载算法,该算法可以使CR用户的容量最大化,同时保持引入PU频段的干扰和总功率低于阈值。仿真结果表明,对于CR系统,该算法能够将功率加载到子载波中,同时将干扰保持在指定的阈值以下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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