An energy efficient dynamic small cell on/off switching with enhanced k-means clustering algorithm for 5G HetNets
by Janani Natarajan; B. Rebekka
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 29, No. 2, 2023

Abstract: The massive growth in the current and envisaged cellular traffic lead to innovations in 5G heterogeneous networks (HetNets) and implementation technologies. The small cells (SCs) or small base stations (SBS) aided macro base station (MBS) topology in HetNets effectively accomplish capacity growth and spectrum reuse at the cost of network complexity, power consumption and energy efficiency. In this paper, we propose a mechanism to maximise the system energy efficiency jointly by enhanced k-means clustering and dynamic load based SC switching algorithm for HetNets. The clustering algorithm optimises the initial centroids for maximum inter-cluster separation. Within each cluster, SC switching is decided based on a permissible threshold of inter-cluster interference. Further, the intra cluster SC coordination is formulated as a cooperative game for load balancing. Simulation results illustrate performance improvement of the proposed scheme up to 20% in energy efficiency and 16% in system throughput compared to conventional k-means clustering approach.

Online publication date: Wed, 01-Mar-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com