Interference Management Coverage and Capacity Optimization in Hetnets
The ever-increasing demand for high data rates, ubiquitous connectivity, and enhanced Quality of Service (QoS) in modern wireless communication systems has given rise to the emergence of a potentially fruitful solution in the form of heterogeneous networks, often known as HetNets. HetNets provide improved coverage, capacity, and overall network performance by combining classic macrocells with a variety of small cell types, such as microcells and picocellss, in addition to the traditional macrocells. However, the occurrence of multiple cell types in close proximity presents difficulties in the management of interference, the optimisation of coverage, and the distribution of available capacity. The primary objective of this research is to devise innovative interference management strategies, intelligent resource allocation algorithms, and adaptive network topologies with the goal of resolving the issues that arise in heterogeneous networks (HetNets). We plan to improve network performance and the overall user experience by making use of cutting-edge technology such as artificial intelligence and machine learning to reduce interference problems, improve coverage patterns, and more effectively manage resources. The importance of this study lies in the fact that it reveals the full potential of HetNets, thereby making it possible for those networks to fulfil the ever-increasing requirements of data-intensive applications and services. HetNets have the ability to sustain variable user densities and usage patterns, as well as deliver smooth connectivity and reliable services. This is made possible through optimising interference control, coverage, and capacity. The findings of this study make a contribution to the construction of a wireless communication infrastructure that is more sustainable and future-proof, and that can accommodate the varied requirements of mobile users both now and in the future. In the end, the goal of our effort is to encourage the development of HetNets in a way that is both efficient and dependable, so enabling wireless networks to fulfil the ever-shifting requirements of the digital era
Authors
- K. Pavithra (ORCID: https://orcid.org/0000-0002-3751-8001)
- R. Arunkumar
- T J Nnadhini
- V. Mohamed Keeran
- Balakrishna Gudla
- A. Raajya Vardhini
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icaccm61117.2024.11058987
- Citations
- 5
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.04