Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Intelligent Beam forming Schematic Nature Design with Multi-Time- Scale Strategies for Multi-Cell Network

Author : Meenakshi dhanalakshmi M 1 Mohanapriya T 2 Mythili A 3 Dharanya N 4

Date of Publication :22nd March 2018

Abstract: Contemporary wireless devices are increasing the demand for higher wireless data usage. Unfortunately, progressive physical layer techniques such as e.g. Long Term Evolution (LTE) and Multi-User (MIMO) approach are not operated efficiently in a coordinated fashion across multiple densely deployed access points. Several access points in the specific region are not able to receive a balanced transmitting and receiving capacity factor while accessing the resources. In this paper, we introduce a new coordination architecture which can achieve the high- performance gains of the hypothetically synchronized MIMO approach without higher overhead and efficiency losses, thus making the vision of high capacity wireless access via multiple nodes located in multiple regions. Herein, we propose another algorithm which overcomes the inefficiency of the existing algorithm with SINR key metrics. The basic idea is to select the access points based on the required places on the network, which will increase the accuracy level of the architecture. The proposed system used the multi-time-scale architecture along with the divide and conquer algorithm implementation without the need of a synchronized timer with delay conditions in a communication region. Our performance results will achieve the faster processing with the elimination of path loss in the longest communication range by using the NS-2 Simulator. Our experiment will give higher efficiency rather than the existing experiments with multi-time-scale workflow for the multi-cell network

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