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

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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.**