Radio & backhaul load aware multi-objective clustering in multi-cell MIMO cooperative networks

Bassoy, S., Jaber, M., Onireti, O. and Imran, M. A. (2021) Radio & backhaul load aware multi-objective clustering in multi-cell MIMO cooperative networks. IEEE Transactions on Vehicular Technology, 70(5), pp. 4585-4600. (doi: 10.1109/TVT.2021.3070992)

Abstract

Coordinated Multipoint (CoMP) is one of the key technologies identified for future wireless networks to mitigate inter-cell interference, especially in a dense deployment scenario. However, CoMP can't be realized for the whole network due to its computational complexity, synchronization between coordinating base stations (BSs) and high backhaul (BH) capacity requirement. BSs need to be clustered into smaller groups and CoMP can be activated within these smaller clusters. In this paper, we develop a multi-objective, dynamic clustering model for multi-user, joint-transmission CoMP to jointly optimize spectral efficiency (SE), radio access network (RAN) load and BH load. We formulate our load-aware model as two coalitional sub-games for small cell and user equipment clustering, respectively. Merge/split/transfer actions for each sub-game are defined and a complexity and stability analysis is provided. Extensive simulation results show that our model provides as good SE in low load when compared to a greedy model, and significantly better load balancing with a reduced number of unsatisfied users and increased throughput in high load scenario. On average 49% increase in the overall system throughput is observed in our simulations when compared to the greedy model.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Bassoy, Selcuk and Onireti, Oluwakayode
• Authors: Bassoy, S., Jaber, M., Onireti, O., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Vehicular Technology
• Publisher: IEEE
• ISSN: 0018-9545
• ISSN (Online): 1939-9359
• Published Online: 05 April 2021
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in IEEE Transactions on Vehicular Technology 70(5): 4585-4600
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
300725		Distributed Autonomous Resilient Emergency Management System (DARE)	Muhammad Imran	Engineering and Physical Sciences Research Council (EPSRC)	Uncle 12187 - EP/P028764/	ENG - Systems Power & Energy