Efficient Radio Resource Management and Transceiver Signal Processing for 5th Generation Cellular Networks and Beyond

该提案的总体目标是为未来宽带无线系统的设计开发降低复杂性的无线电资源管理和发射机/接收机信号处理技术和算法，以经济高效的方式为数据和多媒体业务的移动用户实现非常高的吞吐量、非常低的延迟、频谱和功率效率接入骨干网。该提案的范围包括以蜂窝网络为重点的无线通信研究中几个相互关联的快速发展领域：(1)用于协调密集异构MIMO（多输入多输出）蜂窝网络的鲁棒降低复杂性的无线电资源分配和干扰管理算法；(2)针对大规模MIMO的高性价比信号处理和资源管理技术，对实现缺陷具有鲁棒性；(3)在macrocell层具有大规模MIMO的异构MIMO网络。在不断寻求增加蜂窝网络吞吐量的过程中，过去几年无线系统研究的重点已经转向异构网络（HetNets）和大规模天线系统（massive MIMO）。HetNets包括具有广泛不同传输功率和通信协议的网络节点，如宏基站、微基站和飞基站、远程无线电头、分布式天线系统和基于基础设施的中继。不幸的是，在这种多层网络中，同信道干扰问题（所有蜂窝网络中的基本容量限制因素）是困难的，当考虑多用户MIMO技术通过利用MIMO空间复用增益进一步提高网络吞吐量时，它变得更加困难。要缓解这个问题，需要协调网络节点之间的传输。由于在整个网络上协调传输是不现实的（也是不必要的），因此将研究动态以用户为中心的蜂窝集群（以减轻有害的集群边缘效应）内协调的有希望的想法（重点是更具挑战性的下行链路）以及用户节点关联的相关问题，同时使用随机几何工具对HetNets进行建模。***对于蜂窝网络容量的急剧增加，HetNets方法的另一种补充方法是在活跃用户的网络节点上部署大量多余的天线，这也将提高能源效率并减少空中接口的延迟。这种大规模MIMO概念的实际实施仍然面临许多硬件和系统级的挑战。建议的工作将从研究鲁棒联合空间划分和多路复用的优点开始，将非正交多载波传输方案纳入大规模MIMO，并将大规模MIMO与HetNets集成

The general objective of this proposal is the development of reduced-complexity radio resource management and transmitter/receiver signal processing techniques and algorithms for the design of future broadband wireless systems, cost-efficiently enabling very high throughput, very low latency, spectrally and power efficient access to the backbone network for mobile users of data and multimedia services. The scope of the proposal encompasses several interconnected rapidly developing areas in cellular-network-focused wireless communications research: (1) robust reduced-complexity radio resource allocation and interference management algorithms for  coordinated dense heterogeneous MIMO (multiple-input multiple-output) cellular networks; (2) cost and performance-efficient signal processing and resource management techniques for massive MIMO, robust to implementation imperfections; (3) heterogeneous MIMO networks with massive MIMO at the macrocell tier.***In a continuing quest to increase throughput of cellular networks the last few years have seen a major shift in the focus of wireless systems research to heterogeneous networks (HetNets) and large-scale antenna systems (massive MIMO). HetNets encompass network nodes of widely varying transmitted powers and communication protocols, such as macro, pico and femtocells, remote radio heads, distributed antenna systems and infrastructure-based relays. Unfortunately, in such multi-tier networks the co-channel interference problem (a fundamental capacity-limiting factor in all cellular networks) is difficult and it becomes even more difficult when multiuser MIMO techniques are considered to further increase network throughput by taking advantage of MIMO spatial multiplexing gains. Mitigation of this problem requires coordination of transmissions from/to network nodes. Since coordination of transmissions over the entire network is unrealistic (and also unnecessary), a promising idea of coordination within dynamic user-centric cell clusters (to mitigate detrimental cluster-edge effects) will be investigated (with focus on the more challenging downlink) together with the related problem of user-node association, while using the tools of random geometry to model HetNets. ***An alternative, but hopefully also complementary to HetNets approach to a dramatic increase in cellular network capacity is to deploy large excess of antennas at network nodes over active users, which would also improve energy efficiency and reduce latency of the air interface. Practical implementation of this massive MIMO concept still faces a number of both hardware and system-level challenges. The proposed work will begin with investigation of merits of robust joint spatial division and multiplexing, incorporation of non-orthogonal multicarrier transmission schemes into massive MIMO and integration of massive MIMO with HetNets.**