Downlink spectrum allocation in 5G HetNets

Abstract

Abstract-Fifth generation mobile systems (5G) target an Average Area Spectral Efficiency (AASE) over hundred Gbps/km 2 /user for future mobile systems with an Energy Dissipation (ED) per unit area similar to the current ED levels. Heterogeneous networks (HetNets) with high density of deployed small cells are currently adopted to aid in achieving the target ED and AASE by 5G. Limited spectrum availability requires efforts to manage the spectrum utilization in such dense deployments. Development of new network architectures and Radio Resources Management (RRM) schemes is important to address such challenges. The objective of this work is to propose a new architecture that consists of a Decision Support System (DSS) and a data collection system to dynamically manage and control the spectrum allocation process. The DSS generates spectrum allocation patterns using non-parametric estimation and statistical analysis for the collected data. A new RRM model using a Plan, Do, Control and Act (PDCA) cycle is proposed as a new self optimization module in the self organizing network framework. The PDCA model utilizes the new architecture and the allocation patterns to dynamically predict future spectrum allocation. Results show improvement in the AASE achieved using the PDCA model compared to conventional spectrum allocation.

A cooperative online learning scheme for resource allocation in 5G systems

“…Each FBS is assumed to serve one UE which is randomly located in the coverage area. The simulation parameters and the online mechanism related parameters are listed in Table I We compare the performance of our online learning scheme to validate its performance with reference schemes including: Down-SA [14], Joint-RALA [15], and Matching-RM schemes [16]. Down-SA proposes an architecture that consists of a Decision Support System (DSS) and a data collection system to dynamically manage and control the spectrum allocation process in the heterogeneous 5G networks.…”

Spatial Domain Management and Massive MIMO Coordination in 5G SDN

“…This ever increasing network complexity is driving operators toward a virtualization of network functionality that calls for a paradigm shift from a hardware-based approach to a software-based approach [16], [17]. In this work, we develop an intelligent management framework based on the concept of SDN, which is featured by the decoupling of control plane from data plane [18], [19]. The intelligent SDN framework aims to provide a viable way to solve the existing challenges in a unified manner [20], [21].…”