首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:Ant ColonyPerformance Evaluation and Optimization–based Resource Allocation for D2D Communication
  • 本地全文:下载
  • 作者:Mohammed Mahmoud Abd El-Hamid Nasr ; Mohamed Fared Zaghloul ; Reda Abo Elez
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2019
  • 卷号:67
  • 期号:5
  • 页码:70-77
  • DOI:10.14445/22312803/IJCTT-V67I5P112
  • 出版社:Seventh Sense Research Group
  • 摘要:In the fifth generation (5G), it is anticipated that devicetodevice (D2D) operation will be locally incorporated as a part without any bounds. In DevicetoDevice D2D network, DevicetoDevice (D2D) communication recently has been developed as a new paradigm that supports spectrum reuse inside a cell, and enhancement quality of service (QoS) and leading to expert user experience. Spectrum allocation problem is an important part in the study of D2D communication and represent an open challenges in the spectrum allocation under D2D communication scenario. The resource allocation for D2D design consider the best solution towards this challenge. In this paper, we propose a D2D in which the resource allocation problem is formulated. Then, a resource allocation scheme based on Ant Colony Optimization (ACO) algorithm. . Finally, ACO is considered best solution oriented to identifying interference and establishing D2D links that can optimizing the same resources, consulting a graph representation of the network. Simulation using matlabtool studies and show selflearning nature , which results to a comparable performance to that of an optimal resource allocator. The swarm intelligence algorithm ACO, is adopted to resolve the optimization problem of maximizing the network sum rate while considering the QoS requirements.
  • 关键词:Device-to-Device; Ant Colony Optimization; Spectrum allocation; resource allocation; spatial spectrum reuse; QoS requirements; LTE-Advanced
国家哲学社会科学文献中心版权所有