An Optimized Algorithm for CR-MIMO Wireless Networks
作者机构：Department of Electrical EngineeringUniversity of Engineering&TechnologyPeshawarPakistan Department of Computer ScienceKing Khalid UniversityMuhayel AseerKSA Department of Biomedical EngineeringCollege of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self DevelopmentPreparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Computer Engineering DepartmentUmm Al-Qura UniversityMecca24381Saudi Arabia Research Institute for Information TechnologyKyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics DepartmentFaculty of ScienceSouth Valley UniversityQena83523Egypt
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第71卷第4期
页 面：697-715页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under Grant Number(RGP 2/209/42) This research was funded by the Deanship of Scientific Research at Princess Nourah bint AbdulrahmanUniversity through the Fast-Track Path of Research Funding Program
主 题：Cognitive radio spectrum utilization bandwidth primary user
摘 要：With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum *** sensing is the primary feature and core part of *** sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so *** energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to *** combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading *** best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is ***,this article proposed a new method for max-min fairness *** compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.
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