Distributed Load Balancing for Multi-User Multi-Class Traffic in MIMO-LTE-A Networks

T Padmapriya,V Saminadan

doi:10.19026/rjaset.12.2781

Abstract

In LTE network, load imbalance is the crucial issue which needs to be handled in order to exploit most of the benefit from LTE without degrading the throughput. In this study, we have proposed a Distributed Load Balancing for Multi-user Multi-class Traffic in MIMO-LTE Networks. First, we have proposed a robust load balancing framework to efficiently handle the traffic and also to keep the throughput as high as possible. To detect the overloaded cell, Call Blocking Ratio (CBR) is used as triggering mechanism. To minimize the load, optimization solution is implemented for unicast service and multicast service by selecting the proper transmission mode between Single Frequency Network (SFN) and Point to Multipoint (PTM) network. Moreover, to efficiently balance the congested cell detected by CBR Heaviest-First-Load-Balancing algorithm is implemented to avoid congestion in the traffic.

Highlights

Multi-Input and MultiOutput (MIMO)-LTE networks: In order to cope with the increased traffic demand, the 3rd Generation Partnership Project (3GPP) has developed the Long Term Evolution (LTE) standard for 4G cellular networks
50 mobile nodes move in a 1200 m×1200 m region for proper mode between Single Frequency Network (SFN) and Point to Multipoint (PTM) by same 50 sec of simulation time
From the figures, we can see that Distributed Load Balancing for Multi-user Multi-class Traffic (DLBMM) outperforms Heaviest-First Load Balancing (HFLB) in terms of bandwidth utilization by 42%, delay by 33%, packet delivery ratio by 39% and packet drop by 21%

Summary

INTRODUCTION

MIMO-LTE networks: In order to cope with the increased traffic demand, the 3rd Generation Partnership Project (3GPP) has developed the Long Term Evolution (LTE) standard for 4G cellular networks. Load balancing scheme is required to minimize the demanded radio resources of the maximum loaded cell to avoid the traffic congestion in LTE networks. The proposed min-max LB scheme requires less the network control parameters in such a way that radio resources from the maximum loaded cell than overloaded cells can offload the excess traffic to low- SFN mode for all multicast services. Min et al (2012) have proposed a min-max Load Balancing (LB) scheme to minimize the demanded radio resources of the maximum loaded cell. Along with HFLB (Wang et al, 2010), the load minimization is applied in which the proper transmission mode PTP (point-to-point) is selected for unicast services in SFN (single frequency network) (Min et al, 2012) This minimizes the radio resources for the maximum loaded cells.

SIMULATION RESULTS

Results

CONCLUSION