Joint User-Centric Clustering and Multi-cell Radio Resource Management in Coordinated Multipoint Joint Transmission

Abstract

Coordinated multipoint joint transmission (JT-CoMP) is a promising solution to address inter-cell interference in dense future wireless networks due its strength in converting interfering signals into useful signals, thereby enhancing capacity especially at the cell edge. However, allowing all user equipments (UEs) to operate using the JT-CoMP mode reduces the availability of radio resources. This paper develops an efficient algorithm that can identify which UEs will benefit from operating in a JT-CoMP mode and how to efficiently allocate radio resources from multiple base stations. Joint user-centric JT-CoMP clustering and multi-cell resource management is used in two steps where user-centric clusters are constructed as a first step and according to the clustering results obtained, resources are assigned. This paper also provides a new user-centric clustering approach that allows a user to utilize the JT-CoMP technique only if JT-CoMP boosts its rate above a certain threshold level. A multi-cell resource allocation scheme that can address the resource mismatching problem between cooperative BSs that happens due to load imbalance is proposed. Simulation results show that the proposed user-centric clustering algorithm outperforms the traditional power level difference scheme in terms of the system’s overall throughput as well as the throughput of cell-edge users. Also, results show that the performance of JT-CoMP is mainly affected by the user-centric approach and the amount of physical radio resources assigned to CoMP UEs.

CoMP-Aware BBU Placements for 5G Radio Access Networks over Optical Aggregation Networks

“…In [42], the authors propose deep learning algorithms in order to improve the performance of Downlinkcoordinated Multipoint (DL-CoMP) in heterogenous 5G New Radio (NR) networks. In [43], the authors propose User-Centric Clustering algorithms in order to select UEs that will operate JT-CoMP. the results show the enhancement overall system throughput as well as edge users throughput.…”

Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks

“…The objective is to maximize the network sum rate. Shami et al [ 21 ] proposed a user-centric clustering approach and a bandwidth allocation algorithm for the CoMP. However, these works did not consider caches in cells.…”