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Optimal transmission behaviour policies of secondary users in proactive-optimization cognitive radio networks

机译:主动优化认知无线电网络中次用户的最优传输行为策略

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摘要

In Cognitive Radio (CR) networks, there is a common assumption that secondary devices always obey commands and are under full control. However, this assumption may become unrealistic for future CR networks with more intelligent, sophisticated and autonomous devices. Imperfect spectrum sensing and illegal behaviour of secondary users can result in harmful interference to primary users. In this paper, we propose a novel concept of Proactive-Optimization CR (POCR) networks, in which highly intelligent secondary users always try to proactively consider potentially harmful interference when making their behaviour decision. Furthermore, we propose an optimal transmission behaviour decision scheme for secondary users in POCR networks considering the possible harmful interference and penalties from primary users. Specifically, we formulate the system as a Partially-Observable Markov Decision Process (POMDP) problem. With this formulation, a low-complexity dynamic programming framework is presented to obtain the optimal behaviour policy. Extensive simulation results are presented to illustrate the significant performance improvement of the proposed scheme compared with the existing one that ignores the proactive-optimization of secondary users.
机译:在认知无线电(CR)网络中,通常有一个假设,即辅助设备始终遵循命令并处于完全控制之下。但是,对于具有更多智能,复杂和自治设备的未来CR网络,此假设可能变得不切实际。频谱感应不完善以及次要用户的违法行为可能会对主要用户造成有害干扰。在本文中,我们提出了一种主动优化CR(POCR)网络的新概念,其中高度智能的二级用户在做出行为决策时总是尝试主动考虑潜在的有害干扰。此外,考虑到主要用户可能产生的有害干扰和惩罚,我们为POCR网络中的次要用户提出了一种最佳传输行为决策方案。具体来说,我们将系统公式化为部分可观察的马尔可夫决策过程(POMDP)问题。通过这种表述,提出了一种低复杂度的动态编程框架,以获得最优的行为策略。提出了广泛的仿真结果,以说明与不考虑辅助用户的主动优化的现有方案相比,该方案的显着性能改进。

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