Radio resource management for spectrum and energy efficient design of 5G networks

设想不断发展的第五代（5G）蜂窝无线网络将克服现有蜂窝网络的基本挑战，包括目前在全球部署的第四代（4G）蜂窝网络。预计5G技术将提供1000倍的单位面积移动数据量，10-100倍的连接设备数量和用户数据速率，10倍的电池寿命和5倍的延迟。5G无线网络预计将是不同规模、传输功率、回程连接和不同无线接入技术（rat）的网络层的混合体，这些技术将由前所未有数量的智能和异构无线设备访问。与4G网络相比，这种架构增强以及高阶空间多路多输入多输出（MIMO）通信等先进物理通信技术将为更多同时用户提供更高的总容量或更高的频谱效率。无线电资源和干扰管理将是多层和异构5G蜂窝网络的关键研究挑战。在这种环境下，单层网络（甚至是为两层网络开发的一些网络）中用于无线电资源和干扰管理（例如，信道分配、功率控制、小区关联或负载平衡）的传统方法可能不太有效，因此需要对无线电资源管理（RRM）问题进行新的研究。在此背景下，在该项目的工业合作伙伴TELUS的支持下，我们将开发和研究5G网络的频谱和节能RRM方法。具体而言，该项目将侧重于开发(i)高效干扰管理的小区关联和功率控制方法，（ii）频谱和节能多点传输的跨层合作，（iii）基站休眠和小区缩放的节能方法，以及（iv）多层5G网络中的自适应能量收集方法。这些将成为5G蜂窝系统的关键推动因素，因此将对未来宽带无线行业的形成产生重大影响。

The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks including the fourth generation (4G) cellular networks which are currently being deployed worldwide. The 5G technologies are expected to serve 1000 times higher mobile data volume per unit area, 10-100 times higher number of connecting devices and user data rate, 10 times longer battery life and 5 times reduced latency. 5G wireless networks are expected to be a mixture of network tiers of different sizes, transmit powers, backhaul connections, and different radio access technologies (RATs) that are accessed by an unprecedented numbers of smart and heterogeneous wireless devices. This architectural enhancement along with the advanced physical communications technology such as high-order spatial multiplexing multiple-input multiple-output (MIMO) communications will provide higher aggregate capacity for more simultaneous users or higher level of spectral efficiency, when compared to the 4G networks. Radio resource and interference management will be a key research challenge in multi-tier and heterogeneous 5G cellular networks. The traditional methods for radio resource and interference management (e.g., channel allocation, power control, cell association or load balancing) in single-tier networks (even some of those developed for two-tier networks) may not be efficient in this environment and a new look into the radio resource management (RRM) problem will be required. In this context, with support from TELUS, our industrial partner for this project, we will develop and study spectrum and energy efficient RRM methods for 5G networks. Specifically, the project will focus on developing (i) cell association and power control methods for efficient interference management, (ii) cross-tier cooperation for spectrum and energy-efficient multipoint transmission, (iii) energy efficient methods for base station sleeping and cell zooming, and (iv) methods for adaptive energy harvesting in multi-tier 5G networks. These will be key enablers for 5G cellular systems, and therefore, will have significant impact on shaping up the broadband wireless industry in the future.