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Power Allocation for Cognitive OFDM with Separated Interference Limits

机译:具有分离干扰限制的认知的功率分配

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摘要

In order to protect primary users' communication, most existing power resource allocation methods focus solely on a total interference limit over all subchannels, which may lead to serious disturbance on some frequencies. In this paper, we investigate the power allocation problem for cognitive OFDM with interference limit on each subcarrier. By formulating the problem as a convex optimization, an optimal iterative allocation algorithm is proposed to maximize the cognitive throughput. Furthermore, a linear sub-optimal algorithm is proposed for fast convergence with little throughput loss. Finally, performances of our proposed algorithms are investigated by simulation results.
机译:为了保护主要用户的通信,大多数现有的电力资源分配方法仅关注所有子信道的总干扰限制,这可能导致某些频率的严重干扰。在本文中,我们调查了对每个子载波的干扰限制的信验的功率分配问题。通过将问题作为凸优化,提出了一种最佳迭代分配算法来最大化认知吞吐量。此外,提出了一种用于快速收敛的线性次优算法,具有很少的吞吐量损耗。最后,通过模拟结果研究了我们所提出的算法的性能。

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