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Opportunistic power allocation strategies and fair subcarrier allocation in OFDM-based cognitive radio networks

机译:基于OFDM的认知无线电网络中的机会功率分配策略和公平子载波分配

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摘要

In this paper we have studied the subcarrier and optimal power allocation strategy for OFDM-based cognitive radio (CR) networks. Firstly, in order to protect the primary user communication from the interference of the cognitive user transmissions in fading wireless channels, we design an opportunistic power control scheme to maximize the cognitive user capacity without degrading primary user's QoS. The mathematical optimization problem is formulated as maximizing the capacity of the secondary users under the interference constraint at the primary receiver and the Lagrange method is applied to obtain the optimal solution. Secondly, in order to limit the outage probability within primary user's tolerable range we analyze the outage probability of the primary user with respect to the interference power of the secondary user for imperfect CSI. Finally, in order to get the better tradeoff between fairness and system capacity in cognitive radio networks, we proposed an optimal algorithm of jointing subcarrier and power allocation scheme among multiple secondary users in OFDM-based cognitive radio networks. Simulation results demonstrate that our scheme can improve the capacity performance and efficiently guarantee the fairness of secondary users.
机译:在本文中,我们研究了基于OFDM的认知无线电(CR)网络的子载波和最佳功率分配策略。首先,为了保护主要用户通信不受衰落无线信道中认知用户传输的干扰,我们设计了一种机会功率控制方案,以在不降低主要用户QoS的前提下最大化认知用户的容量。数学优化问题被公式化为在主要接收方的干扰约束下最大化次要用户的容量,并应用拉格朗日方法获得最优解。其次,为了将中断概率限制在主要用户的可容忍范围内,我们针对不完善的CSI分析了主要用户相对于辅助用户的干扰功率的中断概率。最后,为了在认知无线电网络中更好地权衡公平性和系统容量,我们提出了一种基于OFDM的认知无线电网络中多个次级用户之间子载波与功率分配方案联合的最优算法。仿真结果表明,该方案可以提高容量性能,有效地保证二级用户的公平性。

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