认知无线网络中多信道接入的时延分析

Abdullah Masrub
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引用次数: 1

摘要

随着无线电技术的飞速发展,频谱稀缺问题成为无线通信领域的一个重要研究领域。引入认知无线电(CR)技术作为一种解决方案,允许二级(未授权)用户利用主(已授权)用户未使用的可用频段。此功能提供给CR用户,显示出提高无线网络性能和满足下一代无线应用需求的巨大潜力。然而,使用这种技术会带来一些挑战,影响主网络的性能。本文研究了排队系统的时延问题,提出了一种CR网络的动态信道分配技术。该方案基于多信道时隙场景,确定频谱交换的最优信道。此外,本文还讨论了CR用户与主用户同时传输时产生的干扰问题。本文还研究了受碰撞约束的大型消息分割问题。仿真结果表明,采用M/D/1排队模型可以降低平均时延,提高CR网络的性能。然后使用该模型来评估信道数量和信道利用率对网络性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay analysis for multiple channel access in cognitive radio networks
With the rapid development of radio technology, the problem of spectrum scarcity becomes an important area of research in the wireless communications field. Cognitive Radio (CR) technology is introduced as a solution to allow secondary (unlicensed) users to utilize the available frequency bands that are unutilized by primary (licensed) users. This feature, offered to CR users, has shown great potential for enhancing the performance of wireless networks and meeting the demands of future generation wireless applications. However, using this technology will impose several challenges influence the performance of the primary network. In this paper, the queuing system delay is studied, and a dynamic channel allocation technique for CR networks is presented. Based on multi-channel and time slotted scenario, the proposed scheme determines the optimal channel for spectrum switching. Moreover, in this paper, we discuss the interference problem caused by a simultaneous transmission of CR users and primary users. The large message segmentation subject to collision constraints is also investigated in this work. The simulation results have shown that the average delay can be reduced using the M/D/1 queuing model, which can improve the CR network performance. The proposed model is then used to evaluate the effects of the number of channels and channel utilization on the network performance.
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