Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission
作者机构:Department of Electrical and Computer EngineeringUniversity of OttawaOttawaK1N 6N5ONCanada Department of Electrical EngineeringCollege of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Electronics EngineeringSri Venkateswara College of EngineeringSriperumbudur602117India Department of Electronics and Communications EngineeringA’Sharqiyah UniversityIbra400Oman School of Telecommunication EngineeringSuranaree University of TechnologyNakhon RatchasimaThailand Prince Sattam Bin Abdulaziz UniversityCollege of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Mechanical EngineeringCollege of EngineeringTaif UniversityTaif21944Saudi Arabia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2021年第69卷第10期
页 面:81-98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:This work was supported by SUT Research and Development Funds and by Thailand Science Research and Innovation(TSRI) Also,this work was supported by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University,Saudi Arabia In addition,support by the Taif University Researchers Supporting Project Number(TURSP-2020/77),Taif University,Taif,Saudi Arabia
主 题:Wireless networks green communications C-RAN coordinated multipoint energy efficiency
摘 要:The Internet subscribers are expected to increase up to 69.7%(6 billion)from 45.3%and 25 billion Internet-of-things connections by ***,the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifthgeneration cloud radio access network to meet the future traffic demand of high data *** propose a new cell zooming paradigm based on joint transmission(JT)coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power *** endeavoring cell zooming technique adjusts the coverage area in a given cluster based on five different JT schemes,which will help in reducing the overall power consumption with minimum inter-cell *** provide heuristic solutions to assess wireless network performances in terms of aggregate throughput,energy efficiency index(EEI),and energy consumption gain under a different scale of network *** suggested algorithm allows efficient allocation of resource block and increases energy and spectral efficiency over the conventional location-centric cell zooming *** system-level simulations show that the proposed framework reduces energy consumption yielding up to 17.5%and increases EEI by 14%.Subsequently,a thorough comparison among different JT-based load shifting schemes is pledged for further validation of varying system bandwidths.