摘 要
随着移动通信技术的迅猛发展，无线资源分配策略在提升网络性能、保障用户服务质量方面扮演着举足轻重的角色。本文深入探讨了移动通信中的资源分配策略，旨在实现资源的高效利用和优化配置。本文介绍了移动通信网络中的无线资源特性，包括频谱资源、传输功率资源和时间资源。这些资源的合理分配对于提高网络容量、覆盖范围和性能至关重要。随后，文章详细阐述了当前移动通信网络中主要的无线资源分配策略，包括静态资源分配和动态资源分配两种方式。静态资源分配虽然简单易行，但无法适应动态变化的网络环境和用户需求；而动态资源分配则能够灵活调整资源分配方案，更好地满足用户需求和提升网络性能。在资源分配策略的具体实现上，本文重点探讨了基于优先级的资源分配算法、基于队列的资源分配算法以及基于机器学习的资源分配算法。基于优先级的算法能够根据用户或服务的优先级分配资源，有效保障高优先级用户的需求；基于队列的算法则能够实现资源的公平分配，但可能存在等待时间过长的问题；而基于机器学习的算法则能够通过学习用户的行为模式和资源需求，实现更加智能化的资源分配。
关键词：移动通信 资源分配策略 动态资源分配
Abstract
With the rapid development of mobile communication technology, wireless resource allocation strategy plays an important role in improving network performance and ensuring user service quality. This paper discusses the resource allocation strategy in mobile communication in order to realize the efficient utilization and optimal allocation of resources. This paper introduces the characteristics of wireless resources in mobile communication networks, including spectrum resources, transmission power resources and time resources. The proper allocation of these resources is essential to improve network capacity, coverage and performance. Then, the paper elaborates the main wireless resource allocation strategies in the current mobile communication network, including static resource allocation and dynamic resource allocation. Although static resource allocation is simple and easy, it can not adapt to the dynamic change of network environment and user needs. Dynamic resource allocation can flexibly adjust resource allocation schemes to better meet user requirements and improve network performance. In the concrete implementation of resource allocation strategy, this paper focuses on the priority based resource allocation algorithm, queue based resource allocation algorithm and machine learning based resource allocation algorithm. The prioritization algorithm can allocate resources according to the priority of users or services, effectively ensuring the needs of high-priority users. Queue-based algorithm can realize the fair allocation of resources, but may have the problem of too long waiting time. Algorithms based on machine learning can achieve more intelligent resource allocation by learning user behavior patterns and resource requirements.
Keywords: Mobile communication Resource allocation strategy Dynamic resource allocation
目 录
1 引言 1
2 移动通信资源分配基础 1
2.1 移动通信系统概述 1
2.2 资源类型与管理 1
2.3 资源分配原则 2
3 多用户环境下的资源分配 2
3.1 用户接入控制 2
3.2 跨层设计原则 3
3.3 比例公平调度 3
4 面向5G的资源分配策略 4
4.1 大规模MIMO技术与资源分配 4
4.2 MIMO资源分配策略 4
4.3 边缘计算与资源优化 4
5 结论 5
致 谢 6
参考文献 7
