Context-aware radio resource management below 6\xa0GHz for enabling dynamic channel assignment in the 5G era

Ioannis-Prodromos Belikaidis,Kostas Tsagkaris,Uwe Herzog,Federico Miatton,Stavroula Vassaki,Panagiotis Demestichas,Aristotelis Margaris,Andreas Georgakopoulos

doi:10.1186/s13638-017-0946-8

Abstract

Heterogeneous networks constitute a promising solution to the emerging challenges of 5G networks. According to the specific network architecture, a macro-cell base station (MBS) shares the same spectral resources with a number of small cell base stations (SBSs), resulting in increased co-channel interference (CCI). The efficient management of CCI has been studied extensively in the literature and various dynamic channel assignment (DCA) schemes have been proposed. However, the majority of these schemes consider a uniform approach for the users without taking into account the different quality requirements of each application. In this work, we propose an algorithm for enabling dynamic channel assignment in the 5G era that receives information about the interference and QoS levels and dynamically assigns the best channel. This algorithm is compared to state-of-the-art channel assignment algorithm. Results show an increase of performance, e.g., in terms of throughput and air interface latency. Finally, potential challenges and way forward are also discussed.

Highlights

5G is characterized by the challenges of rapid growth in mobile connections and traffic volume [1, 2]
The implementation of our suggested solution was performed under a proprietary system-level simulation tool which is fully developed in Java with various capabilities and has been calibrated according to the 3GPP specifications
The cumulative distribution function (CDF) of coupling loss and downlink SINR have been checked in order to calibrate the tool with leading operators and vendors such as Nokia, Ericsson, Docomo, Huawei, and Telecom Italia

Summary

Introduction

Based on this remark and the work presented in [9], we study a modified distributed channel segregation mechanism that takes into account the CCI and the QoS characteristics of the users. The proposed interference and QoS aware channel segregation-based DCA (IQ-CS-DCA) can be employed in order to use the spectral resources efficiently and at the same time prioritize the users with delay-constrained applications (such as video streaming).

Results

Conclusion