面向海量连接的高效无线资源优化策略研究

With the rapid development of various Internet of Things (IoT) applications, the number of IoT terminals increases dramatically, which results in problems of low access rates and reduced resource efficiency when connecting with a massive number of terminals. Therefore, it is urgent to study new wireless transmission technology for massive connections. This project will first investigate the trade-off among resource utilization, access efficiency and energy efficiency of the wireless communication system for massive connections, derive the bounds of a variety of metrics, and analyze the effect of differing system factors. Furthermore, based on the derived theoretical bounds, some efficient access control and resource optimization schemes will be proposed. Meanwhile, in consideration of requirements of practical systems, a robust massive connection technology will be studied under imperfect scenarios. Through this study, the proposed project aims at laying a theoretical foundation for massive connection technology, as well as proposing some feasible schemes of practical significance for real-world massive communications systems.

随着各类物联网应用的迅猛发展，物联网终端的数量急剧增加，导致现有无线网络在应对物联网海量终端连接时出现了接入成功率低、资源效率不高等一系列问题，迫切需要研究新型高效的海量连接无线传输技术。本课题首先揭示支持海量连接的无线通信系统的资源效率、连接效率和能量效率间的内在联系，探索系统性能界及其影响因素。然后，基于获得的性能界，提出高效的接入控制与资源优化方法。同时，结合实际系统的设计，进行非理想条件下的鲁棒海量连接技术的研究。力求通过该项目的探索，为海量连接技术提供理论依据，并提出具有实际应用价值的可行方案。

随着各类物联网应用的迅猛发展，物联网终端的数量急剧增加，导致现有无线网络在应对物联网海量终端连接时出现了接入成功率低、资源效率不高等一系列问题，迫切需要研究新型高效的海量连接无线传输技术。本课题首先探索物联网接入效率、资源效率和能量效率等多维指标间的理论关系，并给出了大规模天线的波束设计、不同多址方式及复用波形等对海量接入性能的影响。其次研究了接入协议和资源分配策略对物联网性能的影响，设计了集中式与分布式物联网节点的接入协议；针对网络资源及帧结构参数等，探索了传统与机器学习两类方法及静态、半静态和动态资源分配策略下两个维度的资源分配方式。最后考虑物联网中两类不同需求的典型场景（车联网和低功率广覆盖），分别进行理论拓展和应用研究，进行了实际的方案设计与开发实现，给出具有实际应用价值的可行方案。