Resource Management in Advanced Wireless Networks
by A. Suresh, J. Ramkumar, M. Baskar, Ali Kashif Bashir
8Interference Techniques Based on Deep Learning in Wireless Networks
S. Arunprasath1, A. Suresh1* and Jayden Khakurel2
1 Department of Networking and Communications, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu, Chennai, Tamil Nadu, India
2 Department of Child Psychiatry, University of Turku, Turku, Finland
Abstract
On small-scale wireless networks, traditional architectures deliver fast execution and nearly ideal performance, but when user density is high, the performance suffers significantly. The highly congested frequency band is one of the major problems for wireless communication technology. Numerous wireless users to share the same services in terms of time and/or frequency because of the constrained radio band. Interference develops from this configuration. The rising need for high data-rate transmission is driving current development in wireless communication technology. This has led to a major improvement in wireless networks’ performance in recent years. However, there is still a pressing demand for more effective wireless communications given the widespread usage of smart phones, laptops, and multimedia devices. For numerous networks, including cellular networks, wireless lan, and wireless ad-hoc networks, communication inside the presence significant interference has indeed been taken into consideration. One of the finest techniques for reducing wireless communication ...