Sensing Time Optimization Using Genetic Algorithm in Cognitive Radio Networks

被引：0

作者：

Ali, Muhammad Nadeem ^{[1
,2
]}

Naveed, Iqra ^{[1
]}

Khan, Muhammad Adnan ^{[3
]}

Nasir, Ayesha ^{[2
]}

Mushtaq, M. Tahir ^{[1
]}

机构：

[1] Univ Management & Technol, Lahore, Pakistan

[2] Lahore Garrison Univ, Lahore, Pakistan

[3] NCBA & E, Lahore, Pakistan

来源：

INTELLIGENT TECHNOLOGIES AND APPLICATIONS, INTAP 2018 | 2019年 / 932卷

关键词：

Cognitive radio; Spectrum sensing; Probability of collision; Sensing time; Throughput; Optimization; Genetic algorithm;

D O I：

10.1007/978-981-13-6052-7_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Spectrum sensing is a key issue in cognitive radio. Communication spectrum hole detection plays an important role in effective bandwidth utilization. The secondary user (non-licensed) can transmit its data over the idle channel. Sensing time is another issue in spectrum sensing. The minimum spectrum sensing time the collision between the data transmission of primary and secondary user can be kept under a desired value. The desired value will enhance the throughput of the secondary use. In this paper, genetic algorithm was used for the optimization of the sensing time. A significance improvement is noted in sensing time. The results were simulated on MATLAB.

引用

页码：182 / 187

页数：6

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