Relaxed constraint at cognitive relay network under both the outage probability of the primary system and the interference constraint

Mohammed Ridouani, A. Hayar, A. Haqiq
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引用次数: 8

Abstract

The next-generation 5G networks will integrate two technologies, cognitive radio and cooperative communication, which use radio spectrum opportunistically and efficiently, in addition, they enhance the reliability and the capacity of the system. In this paper, we present a novel power control scheme based on a relaxed constraint at cognitive relay network under both the outage probability limit (OPL) of the primary system and the interference constraint limit (ICL). We show how to transform the optimization problem of the condition on the OPL and the ICL into a condition on the channel, so that the cognitive user observes the channel from cognitive source to primary receiver, and control its transmit power based on the channel condition. We derive the closed-form expressions of the outage probabilities over independent but not necessarily identically distributed Nakagami-m fading channels. By using the theoretical analysis and from the numerical results, firstly, we show that the proposed power control scheme which based on both the OPL and the ICL achieves better performance in underlay spectrum rather than the traditional which based only on the interference constraints. Secondary, we show that the proposed scheme allows lower power consumption at cognitive side while the performance of cognitive relay network is improved and the QoS of primary system is guaranteed in parallel.
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认知中继网络在主系统停电概率和干扰约束下的松弛约束
下一代5G网络将集成认知无线电和协作通信两种技术,有效地利用无线电频谱,提高系统的可靠性和容量。本文提出了一种基于放松约束的认知中继网络功率控制方案,同时考虑了主系统的中断概率极限(OPL)和干扰约束极限(ICL)。我们展示了如何将OPL和ICL上的条件优化问题转化为信道上的条件,使认知用户从认知源到主接收端观察信道,并根据信道条件控制其发射功率。我们导出了独立但不一定同分布的Nakagami-m衰落信道上中断概率的封闭表达式。通过理论分析和数值计算,首先证明了基于OPL和ICL的功率控制方案比仅基于干扰约束的传统功率控制方案在底层频谱中具有更好的性能。其次,我们证明了该方案在提高认知中继网络性能的同时降低了认知侧的功耗,并保证了主系统的QoS。
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