Self-Organizing and Optimization in 5G Heterogeneous Networks

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The evolution of wireless networks from 4G to 5G has to face several fundamental challenges, including higher data rates, excellent end-to-end performance and user-coverage in hot-spots and crowded areas with lower latency, energy consumption and cost per information transfer. To address these challenges, 5G system prefers a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Radio resource management (RRM) will play a key role in multi-tier or heterogeneous 5G networks. The traditional 4G RRM schemes, such as channel allocation, power control, cell association and load balancing, may not be efficient in 5G environment, due to the emerging cutting edge technologies, e.g., millimeter waves (mmWave), massive MIMO, etc. The deployment and operation of 5G HetNets will be an extremely complicated task because of the growing scale and complexity of information systems. Self-organizing and optimization, therefore, have been recognized as a critical part of 5G ensembles, as human based network configuration is proven to be labor-intensive, costly, and error-prone. This project considers the next generation HetNets, which consist of a mixture of network tiers, transmit powers and backhaul connections. We will develop a novel scheme of adaptive self organization network (SON) by integrating cognitive radio (CR) with inter-cell interference coordination (ICIC). Our proposed adaptive SON system will also take into account the spatial relationship of different network element, so that mmWave and massive MIMO technology can well achieve the spectrum efficiency that 5G system requires.