Abstract

With the rapid deployment of present-day mobile communication systems, user traffic requirements have increased tremendously. An ultra-dense network is a configuration in which the density of small base stations is greater than or equal to that of the user equipment. Ultra-dense networks are considered as the key technology for 5th generation networks as they can improve the link quality and increase the system capacity. However, in an ultra-dense network, small base stations are densely positioned, so one user equipment may receive signals from two or more small base stations. This may cause a severe inter-cell interference problem. In this study, we considered a coordinated multi-point scenario, a cooperative technology between base stations to alleviate the interference. In addition, to suppress the occurrence of severe interference at the cell edges, link formation was carried out by considering the degree of cell load for each cluster. After the formation of links between all the base stations and user equipment, a subcarrier allocation procedure was performed. The subcarrier allocation method used in this study was based on the location of base stations with clustering to improve the data rate and reduce the interference between the clusters. Power allocation was based on the channel gain between the base station and user equipment. Simulation results showed that the proposed scheme delivered a higher sum rate than the other resource allocation methods reported previously for various types of user equipment.

Highlights

  • In order to overcome the limitations of the resource allocation schemes discussed far, in this study, we proposed a clustering-based resource allocation scheme considering the location of the SBSs

  • A resource allocation scheme based on a coordinated multi-point (CoMP) method to improve the data rate of an entire system was studied

  • To compare the performance of the proposed method with those of conventional schemes, link formation that considered cell load and clustering based on a k-means algorithm was incorporated for subcarrier allocation

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The UDN configuration offers advantages such as increased maximum data rate, expanded cell coverage, flexible deployment of base stations (BSs), and improved link quality [3]. It suffers from serious inter-cell interference, which is caused by its high SBS density. A resource allocation scheme based on a clustering technique using the k-means algorithm has been proposed In this approach, a cluster was formed between each SBS, and orthogonal subcarriers were allocated to the UEs in the cluster. In another study [10], the authors proposed a resource allocation scheme based on the location and cluster and tried to increase the sum rate by reducing the interference between the adjacent clusters.

System Model
Cluster Formation
Link Formation
Proposed Subcarrier Allocation
Computing Location-Based Interference Matrix
Subcarrier Allocation
Power Allocation Scheme
Simulation Results
Conclusions
Full Text
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