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Computationally efficient power allocation algorithm in multicarrier-based cognitive radio networks: OFDM and FBMC systems

机译:基于多载波的认知无线电网络中的计算有效功率分配算法:OFDM和FBMC系统

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Cognitive Radio (CR) systems have been proposed to increase the spectrum utilization by opportunistically access the unused spectrum. Multicarrier communication systems are promising candidates for CR systems. Due to its high spectral efficiency, filter bank multicarrier (FBMC) can be considered as an alternative to conventional orthogonal frequency division multiplexing (OFDM) for transmission over the CR networks. This paper addresses the problem of resource allocation in multicarrier-based CR networks. The objective is to maximize the downlink capacity of the network under both total power and interference introduced to the primary users (PUs) constraints. The optimal solution has high computational complexity which makes it unsuitable for practical applications and hence a low complexity suboptimal solution is proposed. The proposed algorithm utilizes the spectrum holes in PUs bands as well as active PU bands. The performance of the proposed algorithm is investigated for OFDM and FBMC based CR systems. Simulation results illustrate that the proposed resource allocation algorithm with low computational complexity achieves near optimal performance and proves the efficiency of using FBMC in CR context.
机译:已经提出认知无线电(CR)系统,以通过机会性地访问未使用的频谱来提高频谱利用率。多载波通信系统是CR系统的有希望的候选者。由于其高频谱效率,滤波器组多载波(FBMC)可被视为通过CR网络传输的传统正交频分复用(OFDM)的替代方案。本文解决了基于多载波的CR网络中的资源分配问题。目的是在总功率和引入主要用户(PU)约束的干扰下最大化网络的下行链路容量。最佳解决方案具有较高的计算复杂度,使其不适合实际应用,因此提出了一种低复杂度的次优解决方案。所提出的算法利用了PU频段以及有源PU频段中的频谱孔。针对基于OFDM和FBMC的CR系统,研究了该算法的性能。仿真结果表明,该算法具有较低的计算复杂度,可以达到接近最佳的性能,并证明了在CR环境下使用FBMC的效率。

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