Distributed Multi-User MIMO and Resource Allocation for Multi Access Point Wi-Fi Systems

多接入点 Wi-Fi 系统的分布式多用户 MIMO 和资源分配

• 批准号: 2599357
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2599357
• 关键词: Distributed; Multi; User; MIMO; Resource

To provide uniform coverage, Complete Wi-Fi (like all other multi Access Point systems) creates a network using a number of essentially independent Wi-Fi Access Points, each serving a subset of the client devices with overlapping regions of coverage. The resources (subcarriers and power) are independently scheduled at each access point without any coordination. In addition, beamforming and MIMO gains are limited to the capabilities of an individual access point. This non-coordinated resource allocation and inability to perform joint transmission results in unnecessary interference and loss of capacity, degrading the quality of service. As the number of devices increases, the interference will have a significant impact. This needs to be addressed. Providing high quality Internet connections in high-density environments is one of the major drivers for the development of future Wi-Fi systems (see IEEE 802.11be / Wi-Fi 7). Therefore, this project proposes efficient techniques for the co-ordination of multi-access points Wi-Fi systems to enable both optimal resource allocation and distributed multi-user MIMO. These techniques will be developed by leveraging our recent work on distributed massive MIMO, but taking into account the following key differences between Wi-Fi and 5G systems: a) The lower cost point of Wi-Fi APs compared to 5G base stations requires a lower complexity solution for coordinated transmissions, b) Residential users' reluctance to install new wiring means that the co-ordination must be achieved using wireless communications between the access points rather than fibre. In particular, low-complexity access point coordination techniques will be explored to simply exploit coordinated spatial reuse. Additionally, low complexity joint transmission techniques will be investigated by enabling collaboration between access points.Although proposed low-complexity techniques address the challenges in WiFi networks, the real tangible benefits are far reaching across a number of domains. The developed novel techniques will greatly influence relevant researchers. The scholarly results will be disseminated through high profile avenues. The student's 3 one-month visits to BT will enrich their industrial experience significantly. The proposed techniques perfectly align with EPSRC-ICT priorities: Future Intelligent Technologies.Industrial collaborator: BT

为了提供统一的覆盖范围，完整Wi-Fi（与所有其他多接入点系统一样）使用多个基本独立的Wi-Fi接入点创建网络，每个接入点服务于具有重叠覆盖区域的客户端设备的子集。在每个接入点处独立地调度资源（子载波和功率），而不进行任何协调。此外，波束成形和MIMO增益受限于单个接入点的能力。这种不协调的资源分配和不能执行联合传输导致不必要的干扰和容量损失，降低了服务质量。随着设备数量的增加，干扰将产生重大影响。这一问题需要解决。在高密度环境中提供高质量的互联网连接是未来Wi-Fi系统发展的主要驱动力之一（参见IEEE 802.11be / Wi-Fi 7）。因此，该项目提出了用于协调多接入点Wi-Fi系统的有效技术，以实现最佳资源分配和分布式多用户MIMO。这些技术将通过利用我们最近在分布式大规模MIMO方面的工作来开发，但要考虑Wi-Fi和5G系统之间的以下关键差异：a）与5G基站相比，Wi-Fi AP的成本更低，需要更低复杂度的协调传输解决方案，B）住宅用户不愿意安装新的线路，这意味着必须使用接入点之间的无线通信而不是光纤来实现协调。特别是，低复杂性的接入点协调技术将探讨简单地利用协调空间重用。此外，低复杂度的联合传输技术将被研究，使接入点之间的协作。虽然提出的低复杂度的技术解决了WiFi网络中的挑战，真实的有形的好处是深远的跨越许多领域。新技术的发展将对相关研究人员产生重大影响。学术成果将通过高知名度的途径传播。学生对英国电信为期3个月的访问将大大丰富他们的工业经验。所提出的技术完全符合EPSRC-ICT优先事项：未来智能技术。工业合作伙伴：BT