当前位置: X-MOL 学术Ad Hoc Netw. › 论文详情
Evolutionary computation technique enhancing the performance of cognitive radio networks with energy harvesting
Ad Hoc Networks ( IF 3.643 ) Pub Date : 2020-06-18 , DOI: 10.1016/j.adhoc.2020.102254
Ahmed H. Abd El-Malek; Mohamed A. Aboulhassan; Mohamed A. Abdou

The intervention of evolutionary computation methods in studying energy harvesting (EH) techniques in multiple-input-single-output cognitive radio networks (MISO-CRNs) is carefully investigated. In this work, a secondary user (SU) with multiple antennas harvests energy from a hybrid base station (HBS) in addition to harvesting from the primary user (PU) transmission during the downlink time-slot. Hence, the SU transmits its data on the uplink over Nakagami-m fading channels. For the underlay paradigm, a specific tolerable PU interference limits the SU total transmission power. The HBS does not have previous information about the SU battery level. A closed-form expression for the SU exact outage probability is derived and simplified to its asymptotic formula for the high signal-to-noise-ratio (SNR) region. Closed-form expressions for the system average symbol error probability (ASEP) and ergodic capacity are obtained. The particle swarm optimization (PSO) algorithm is used to find the optimal SU transmission power to minimize the sophisticated formula of the exact outage probability. Simulations and numerical results reveal the effect of the critical system parameters on the overall system performance and validate the derived mathematical analysis. Moreover, the optimum solution of the power optimization problem shows noteworthy enhancement of the system performance compared to the traditional equally distributed model.
更新日期:2020-06-23

 

全部期刊列表>>
胸部和胸部成像专题
自然科研论文编辑服务
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
鲁照永
华东师范大学
苏州大学
南京工业大学
南开大学
中科大
唐勇
跟Nature、Science文章学绘图
隐藏1h前已浏览文章
中洪博元
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
广东实验室
南京大学
王杰
南科大
刘尊峰
湖南大学
清华大学
王小野
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug