Providing statistical quality-of-service guarantees in cognitive radio networks with cooperation

Shao-Yu Lien, N. Prasad, Kwang-Cheng Chen, Chih-Wei Su
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引用次数: 24

Abstract

Cognitive radios (CRs) opportunistically sharing the wireless spectrum with the legacy primary system (PS) are promising to improve the spectrum utilization. However, this cognitive spectrum hole access makes the bandwidth of the cognitive radio network (CRN) formed by multiple CRs varies severely, which makes providing quality-of-service (QoS) guarantee over the CRN a very challenging task. Considering cooperative diversity with the merit of alleviating bandwidth variation, this paper proposes a cooperative scheduling algorithm for the CR in the CRN to select a relay path with the lowest packet dropping probability for packet transmissions. Under this scheme, the upper bounds of the mean packet dropping probability have been analytically derived and the corresponding admission control mechanism is further proposed. Analytical results show that the proposed scheme provides a better QoS guarantee than direct transmissions without cooperative relay for the CRN. Simulation results also confirm that traffic sources admitted into the system can absolutely meet their mean packet dropping probability requirements.
在协作的认知无线网络中提供统计服务质量保障
认知无线电(CRs)与传统主系统(PS)共享无线频谱,有望提高频谱利用率。然而,这种认知频谱空穴接入使得由多个认知无线网络(CRN)组成的认知无线网络(CRN)的带宽变化严重,使得在CRN上提供服务质量(QoS)保障成为一项非常具有挑战性的任务。考虑到协同分集具有减轻带宽变化的优点,本文提出了一种CRN中CR的协同调度算法,为分组传输选择丢包概率最小的中继路径。在此方案下,解析导出了平均丢包概率的上界,并进一步提出了相应的接纳控制机制。分析结果表明,该方案比无协同中继的直接传输提供了更好的QoS保证。仿真结果也证实了进入系统的流量源完全能够满足其平均丢包概率要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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