Location based throughput gain in cognitive radio

G. Verma, Om Prakash Sahu
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引用次数: 3

Abstract

Selection of appropriate detection threshold (λ) is a very critical task in energy detection scheme based cognitive radio (CR) system. λ is mainly selected by using two principles called as constant detection rate (CDR) in which λ is calculated by taking fixed value of probability of detection (Pd) and constant false alarm rate (CFAR) in which λ is calculated by taking fixed value of probability of false alarm Pfa. The CDR principle is mostly adopted to sufficiently protect the primary users (PUs), but it lags in exploiting the best spectrum utilization opportunities mainly when CR user is located far away where chances of interfering a PU communication are least. This overprotective nature of CR in CDR principle leads to a decrease in its achievable throughput. To overcome it, this article proposes an approach in which the location information of PU is efficiently used to access the spectrum using “opportunistic spectrum access scheme under the CDR principle” and the “scheme of spectrum sharing”. Under the proposed approach, the CR achieves a significant gain in its throughput compared to the approach in which the CDR and CFAR principles are used blindly.
认知无线电中基于位置的吞吐量增益
在基于能量检测方案的认知无线电(CR)系统中,选择合适的检测阈值(λ)是一个非常关键的问题。λ的选择主要采用恒定检测率(CDR)和恒定虚警率(CFAR)两种原则,其中λ采用检测概率(Pd)的固定值计算,而λ采用虚警概率(Pfa)的固定值计算。CDR原理主要是为了充分保护主用户(primary user, PU),但主要是在CR用户位置较远、干扰PU通信的可能性最小的情况下,不能充分利用最佳的频谱利用机会。CDR原理中CR的这种过度保护性质导致其可实现吞吐量的降低。为了克服这一问题,本文提出了一种利用“CDR原则下的机会性频谱接入方案”和“频谱共享方案”有效利用PU位置信息进行频谱接入的方法。在该方法下,与盲目使用CDR和CFAR原则的方法相比,CR在吞吐量方面取得了显着的提高。
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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