International Journal of Advanced Computing and Communication Systems

Performance Analysis of Adaptive Algorithm in Future Cellular Networks

Ayyappadas R, Geethapriya, Vinitha, Mary Praveena and Kavitha A.K, Sri Ramakrishna Institute Of Technology, Coimbatore, TamilNadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 04, Issue 02

Page No : 008-015

Abstract

For requirements of high data coverage and rate challenging throughput of future wireless cellular networks, the concept of relaying is found to be a promising solution.It can be explained in this thesis that the high data coverage rate as well as throughput can be efficiently improved in such networks by making use of digital fixed relays rather working with simple protocols, which do not sustain any penalty of capacity; this explanation is the most significant contribution of thesis. Particularly, the downlink network of non-CDMA is considered in which six digital fixed relates are located simultaneously in every cell in hexagonal arrangement.Equipment of user is selected to obtain the conveyed signal either through one of the relays or directly from the BD (base station).This paper addresses the influence of multi-cell interference, BER, path loss and the effect of QAM on overall radio communication. This project sets a new direction for future research on resource scheduling strategies in a multi-cell system.

Keywords

path loss, cell size, QAM, signal to noise ratio, BER.

Cite this Article

Ayyappadas R, Geethapriya, Vinitha, Mary Praveena and Kavitha A.K, “Performance Analysis of Adaptive Algorithm in Future Cellular Networks, ”International Journal of Advanced Computing and Communication Systems, pp. 008-015, July, 2017.

Copyright

© 2017 Ayyappadas R, Geethapriya, Vinitha, Mary Praveena and Kavitha A.K. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.