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.

子孙后代的蜂窝网络将发生重大变化，以应对网络用户数量的增加以及他们对具有高质量服务的高数据速率服务的要求，包括低延迟要求。此外，蜂窝网络的能源消耗约为全球总能源消耗的0.5％。环境和经济学需要提高能源效率，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。在项目中，我们开发了一种新的无线电访问网络体系结构，该架构具有灵活性，交通和密度意识。该体系结构很好地反映了最新的发展，从大型MIMO基站，非正交多访问（NOMA）方面，并利用了软件定义的无线电和网络的功能。从方法上讲，项目将相应的无线电资源管理任务提出为可靠的编程问题，并解决了集中式或分布式实现。如果相应的资源分配支持，几种网络技术作为MMWave，WiFi和Cellular的共存允许为用户提供多个无缝连接。该项目还考虑了不完美的渠道和流量状态信息的强大资源分配。通过使用最新的优化工具，包括分数编程，凸顺序近似，半芬矿松弛，可以解决多目标编程问题。所有解决方案均以性能，复杂性和收敛性分析。开发的算法将为5G和超越网络的软件实现建立基础。