Radio Resource Management Based on User and Network Characteristics Considering 5G Radio Access Network in a Metropolitan Environment

Akira KISHIDA  Yoshifumi MORIHIRO  Takahiro ASAI  

IEICE TRANSACTIONS on Communications   Vol.E100-B    No.8    pp.1352-1365
Publication Date: 2017/08/01
Publicized: 2017/02/08
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016FGP0022
Type of Manuscript: Special Section PAPER (Special Section on Radio Access Technologies for 5G Mobile Communications System)
Category: Terrestrial Wireless Communication/Broadcasting Technologies
5G,  radio resource management,  cell selection,  metropolitan environment,  urban environment,  HetNet,  

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In this paper, we clarify the issues in a metropolitan environment involving overlying frequency bands with various bandwidths and propose a cell selection scheme that improves the communications quality based on user and network characteristics. Different frequency bands with various signal bandwidths will be overlaid on each other in forthcoming fifth-generation (5G) radio access networks. At the same time, services, applications or features of sets of user equipment (UEs) will become more diversified and the requirements for the quality of communications will become more varied. Moreover, in real environments, roads and buildings have irregular constructions. Especially in an urban or metropolitan environment, the complex architecture present in a metropolis directly affects radio propagation. Under these conditions, the communications quality is degraded because cell radio resources are depleted due to many UE connections and the mismatch between service requirements and cell capabilities. The proposed scheme prevents this degradation in communications quality. The effectiveness of the proposed scheme is evaluated in an ideal regular deployment and in a non-regular metropolitan environment based on computer simulations. Simulation results show that the average of the time for the proposed scheme from the start of transmission to the completion of reception at the UE is improved by approximately 40% compared to an existing cell selection scheme that is based on the Maximum Signal-to-Interference plus Noise power Ratio (SINR).