Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D

作     者：Farah Akif Kiran Sultan Aqdas N.Malik Ijaz M.Qureshi Saba Mahmood 

作者机构：Department of Electrical EngineeringInternational Islamic UniversityIslamabad44000Pakistan Department of CITFASKing Abdulaziz UniversityJeddah21551Saudi Arabia Department of Electrical EngineeringAir UniversityIslamabad44000Pakistan Department of Computer ScienceBahria UniversityIslamabad44000Pakistan 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第68卷第8期

页      面：2075-2093页

核心收录：

学科分类：081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 0703[理学-化学] 070301[理学-无机化学] 

主　　题：Multi-hop ultra-dense D2D path-selection ABC GA 

摘      要：Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon *** this paper,we propose a base station off-loading and cell range extension(CRE)scheme based on multi-hop device-to-device(MHD2D)path selection between transmitter and receiver *** paper also provides derivations of upper and lower bounds for energy efficiency,capacity,and transmit *** proposed path selection scheme is inspired by the foraging behavior of honey *** present the algorithm as a modified variant of the artificial bee colony algorithm(MVABC).The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency(EE).The proposed path selection MVABC is compared with the Genetic Algorithm(GA)and also with classical artificial bee colony(ABC)through simulations and statistical *** student’s t-test,p-value,and standard error of means(SEM)clearly show that MVABC based path selection out-performs the GA and classical ABC *** based approach is 66%more efficient when compared with classic ABC and about 62%efficient when compared with GA based scheme.