Traffic model of LTE using maximum flow algorithm with binary search technique

TL;DR

This paper models LTE network traffic using a maximum flow algorithm combined with binary search to analyze capacity and throughput, addressing challenges in traffic management without traditional base station controllers.

Contribution

It introduces a novel application of maximum flow with binary search for LTE traffic modeling, improving capacity analysis and throughput estimation.

Findings

Effective traffic flow modeling for LTE networks.

Enhanced throughput analysis under different modulation schemes.

Potential for improved network capacity planning.

Abstract

Inrecent time a rapid increase in the number of smart devices and user applications have generated an intensity volume of data traffic from/to a cellular network. So the Long Term Evaluation(LTE)network is facing some issuesdifficulties ofthebase station and infrastructure in terms of upgrade and configuration becausethere is no concept of BSC (Base Station Controller) of 2G and RNC (Radio Network Controller) of 3G to control several BTS/NB. Only 4G (LTE) all the eNBs areinterconnected for traffic flow from UE (user equipment) to core switch. Determination of capacity of a linkof such a network is a challenging job since each node offers its own traffic andat the same time conveys traffic of other nodes.In this paper, we apply maximum flow algorithm including the binary search techniqueto solve the traffic flow of radio networkandinterconnected eNBs of the LTE network. The throughput of the LTE network shown graphically under the QPSK and 16-QAM