异构融合网络联合资源分配算法研究

发布时间：2018-12-16 04:01

【摘要】：未来通信网络将实现多种接入网络的异构融合、共存互补、协同通信，并支持终端多主传输和业务差异性。在异构融合网络中，接入网络的异构性，终端性能的差异性及业务需求多样性将给异构网络的资源管理带来严峻的困难和挑战。本文主要针对异构融合网络联合资源分配算法进行研究，具体包括以下几方面内容：首先，分析和总结现有异构融合网络场景、无线资源管理架构及方法，提出异构融合网络资源分配算法面临的困难与挑战，并对异构融合网络带宽分配、功率分配及联合功率和带宽分配等资源分配算法进行总结概述，提出联合资源分配算法研究的必要性。其次，提出一种面向业务服务质量(Quality of Service, QoS)的通用移动通信系统/无线局域网融合网络联合资源分配算法。针对具有不同QoS需求的业务用户，分别分析评估了用户在两个网络的吞吐量性能，，建模QoS约束条件下用户吞吐量总和最大化问题，并通过遗传算法求解优化问题得到最佳资源分配策略。数值仿真结果验证了所提算法的有效性。最后，针对采用混合频谱的宏小区(Macro)和家庭小区(Femto)蜂窝异构网络资源分配问题，提出基于能效优化的Macro-Femto异构网络联合资源分配算法。综合考虑干扰限制、终端能效及QoS需求因素，结合信道模型分别建模宏小区用户(Macrocell User Equipments, MUEs)和家庭小区用户(Femtocell User Equipments,FUEs)能效模型。在满足干扰门限及用户QoS约束条件下，以最大化异构网络各用户能效为优化目标建模多目标优化模型，并采用理想点法对优化问题进行求解得到最佳联合资源分配策略。仿真结果证实所提算法在保证MUEs和FUEs QoS需求的同时可实现用户能效优化。
[Abstract]:In the future, the communication network will realize heterogeneous integration of multiple access networks, co-exist and complement each other, cooperate with each other, and support terminal multi-host transmission and service difference. In heterogeneous converged networks, the heterogeneity of access networks, the difference of terminal performance and the diversity of service requirements will bring severe difficulties and challenges to the resource management of heterogeneous networks. This paper mainly focuses on the joint resource allocation algorithm of heterogeneous fusion network, including the following aspects: first, analyze and summarize the existing heterogeneous fusion network scenarios, wireless resource management architecture and methods, The difficulties and challenges faced by heterogeneous fusion network resource allocation algorithms are proposed, and the resource allocation algorithms such as bandwidth allocation, power allocation and joint power and bandwidth allocation in heterogeneous fusion networks are summarized. The necessity of research on joint resource allocation algorithm is put forward. Secondly, a general mobile communication system / wireless local area network (WLAN) fusion network joint resource allocation algorithm for service quality of service (Quality of Service, QoS) is proposed. For the service users with different QoS requirements, the throughput performance of users in the two networks is analyzed and evaluated, and the problem of maximizing the total throughput of users under QoS constraints is modeled. The optimal resource allocation strategy is obtained by solving the optimization problem by genetic algorithm. Numerical simulation results verify the effectiveness of the proposed algorithm. Finally, a joint resource allocation algorithm for Macro-Femto heterogeneous networks based on energy efficiency optimization is proposed to solve the problem of resource allocation in macro cell (Macro) and home cell (Femto) cellular heterogeneous networks using mixed spectrum. Considering the interference limitation, terminal energy efficiency and QoS demand factors, the energy efficiency model of macro cell user (Macrocell User Equipments, MUEs) and home cell user (Femtocell User Equipments,FUEs is modeled with channel model. Under the condition of satisfying the interference threshold and user QoS constraint, the multi-objective optimization model is modeled with the goal of maximizing the energy efficiency of users in heterogeneous networks, and the optimal joint resource allocation strategy is obtained by solving the optimization problem by using the ideal point method. Simulation results show that the proposed algorithm can achieve user energy efficiency optimization while ensuring MUEs and FUEs QoS requirements.
【学位授予单位】：重庆邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92

【共引文献】