Optimized Evaluation of Mobile Base Station by Modern Topological Invariants

Abstract

Due to a tremendous increase in mobile traffic, mobile operators have started to restructure their networks to offload their traffic. New research directions will lead to fundamental changes in the design of future Fifthgeneration (5G) cellular networks. For the formal reason, the study solves the physical network of the mobile base station for the prediction of the best characteristics to develop an enhanced network with the help of graph theory. Any number that can be uniquely calculated by a graph is known as a graph invariant. During the last two decades, innumerable numerical graph invariants have been portrayed and used for correlation analysis. In any case, no efficient assessment has been embraced to choose, how much these invariants are connected with a network graph. This paper will talk about two unique variations of the hexagonal graph with great capability of forecasting in the field of optimized mobile base station topology in setting with physical networks. Since K-banhatti sombor invariants (KBSO) and Contrharmonic-quadratic invariants (CQIs) are newly introduced and have various expectation characteristics for various variations of hexagonal graphs or networks. As the hexagonal networks are used in mobile base stations in layered, forms called honeycomb. The review settled the topology of a hexagon of two distinct sorts with two invariants KBSO and CQIs and their reduced forms. The deduced outcomes can be utilized for the modeling of mobile cellular networks, multiprocessors interconnections, microchips, chemical compound synthesis and memory interconnection networks. The results find sharp upper bounds and lower bounds of the honeycomb network to utilize the Mobile base station network (MBSN) for the high load of traffic and minimal traffic also.

Throughput and coverage based Base Station–Relay Station deployment for 5G cellular network

“…CoMP works by allowing many base stations to coordinate data transmission to a single device, resulting in much faster and more consistent data service. For SONs, the deployment of intelligent networks continually adapts, monitors, and optimizes radio networks, enabling improved network efficiency and reliability 14,15 . Furthermore, small cells are deployed in dense urban areas to create extra cells, which help to ensure the devices connected to them have an almost uninterruptible connection 16 .…”

“…For SONs, the deployment of intelligent networks continually adapts, monitors, and optimizes radio networks, enabling improved network efficiency and reliability. 14,15 Furthermore, small cells are deployed in dense urban areas to create extra cells, which help to ensure the devices connected to them have an almost uninterruptible connection. 16 The use of BS-RS has an impact on the energy efficiency of the network.…”