Efficient Resource Allocation in Software Defined Wireless Networks

软件定义无线网络中的高效资源分配

• 批准号: 400727813
• 负责人: Professor Dr.-Ing. Eduard Axel Jorswieck
• 金额: --
• 依托单位: Institut für Nachrichtentechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/400727813?language=en
• 关键词: Efficient; Resource; Allocation; Software; Defined

Future generations of cellular networks will change significantly in order to cope with the increasing number of network users as well as their request for high data rate services with high quality of service including low delay requirements. Additionally, the energy consumptions of cellular networks is about 0.5% of the total energy consumption world wide. Environment and economics require to increase the energy efficiency and keep or lower the level of energy consumption while increase the data rate by a factor of at least 1000. In the project, we develop a new radio access network architecture which is flexible and traffic and density aware. The architecture reflects well the recent developments in terms of massive MIMO base stations, non-orthogonal multiple access (NOMA) and exploits the features of software defined radio and networking. Methodologically, the project formulates the corresponding radio resource management tasks as solid programming problems and solves them either centralized or in a distributed implementation. Coexistence of several network technologies as mmWave, WiFi and cellular allows to supply users with multiple seamless connectivity if the corresponding resource allocation supports it. The project also considers robust resource allocation for imperfect channel and traffic state information. The multi-objective programming problems are solved by using the latest optimization tools including fractional programming, convex sequential approximation, semidefinite relaxation. All solutions are analyzed in terms of performance, complexity and convergence. The developed algorithms will build a basis for software implementation in 5G and beyond networks.

未来几代蜂窝网络将发生重大变化，以应对不断增加的网络用户数量以及他们对高数据速率服务和高质量服务（包括低延迟要求）的要求。此外，蜂窝网络的能耗约占全球总能耗的0.5%。环境和经济要求提高能源效率并保持或降低能源消耗水平，同时将数据速率提高至少1000倍。在该项目中，我们开发了一种灵活、流量和密度的新无线接入网络架构意识到的。该架构很好地反映了大规模 MIMO 基站、非正交多址 (NOMA) 方面的最新发展，并利用了软件定义无线电和网络的功能。在方法上，该项目将相应的无线电资源管理任务制定为实体编程问题，并以集中式或分布式实施的方式解决它们。如果相应的资源分配支持，毫米波、WiFi 和蜂窝等多种网络技术的共存可以为用户提供多种无缝连接。该项目还考虑了针对不完善的信道和流量状态信息的稳健资源分配。多目标规划问题采用最​​新的优化工具来解决，包括分数规划、凸序贯逼近、半定松弛。所有解决方案均从性能、复杂性和收敛性方面进行分析。开发的算法将为 5G 及其他网络的软件实施奠定基础。