Optimization of Resource and Energy for D2D enable Communication System using Constraint's- based Function

M. L. Jatav, A. Datar, L. Malviya
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引用次数: 0

Abstract

The process of resource optimization enhances the capacity of device-to-device communication. The utility and diversity of device-to-device communication influence next-generation wireless communication. The sharing of resources in wireless combination treats as assets of communication. The limitation of assets is spectrum allocation and energy efficiency. The allocation process faces a problem of interference in different variants such as cochannel interference, intercell interference and some others. This paper proposed the constraints-based function for the optimization of energy and resource sharing. The proposed methods focus on the total users of a single-cell network and utilize all resources in the best selection mode. The pairing factors of D2D users and CU users satisfy the defined constraints and got optimal resources of energy and spectrum. The proposed algorithm simulated in MATLAB environments and set different parameters for the validation. The proposed optimization algorithm compares with two algorithms, particle swarm optimization and ant colony optimization.
基于约束函数的D2D通信系统资源与能量优化
资源优化的过程提高了设备间通信的能力。设备对设备通信的实用性和多样性影响着下一代无线通信。无线组合中的资源共享被视为通信的资产。资产的限制是频谱分配和能源效率。分配过程中面临着各种干扰的问题,如共信道干扰、小区间干扰等。本文提出了基于约束的能源资源共享优化函数。所提出的方法着眼于单个蜂窝网络的总用户,并以最佳选择模式利用所有资源。D2D用户和CU用户的配对因子满足定义的约束条件,获得了最优的能量和频谱资源。在MATLAB环境下对该算法进行仿真,并设置不同的参数进行验证。本文提出的优化算法与粒子群算法和蚁群算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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