Cooperative game theory based load balancing in long term evolution network

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

Dettagli Bibliografici
Autori principali: Intesar, Sadia, Saha, Subarno
Natura: Tesi
Lingua:English
Pubblicazione: BRAC University 2016
Soggetti:
Accesso online:http://hdl.handle.net/10361/4901
id 10361-4901
record_format dspace
spelling 10361-49012022-01-26T10:05:01Z Cooperative game theory based load balancing in long term evolution network Intesar, Sadia Saha, Subarno Computer science and engineering Long term evolution (LTE) This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. Long term evolution (LTE) network, incompatible with 2G and 3G networks is the most promising technology for wireless communication with higher speed and capacity. Selforganized load balancing is an important research issue for the wireless networks. Game theory provides an efficient way to provide self-organizing properties in a distributed environment like LTE networks. Load balancing means to assign users from highly loaded cells to neighbor lower loaded cells. The amount of load needs to be offloaded or accepted by a particular cell is not really specified and currently totally vendor specified. In our proposed cooperative game theoretic approach, each cell is considered as a player where they trade the load by forming a coalition by satisfying the overall performance of the network. Simulation results show that our proposed method provides better performance in terms of satisfied users and adjusted load values. 2016-01-20T12:14:47Z 2016-01-20T12:14:47Z 2015-12 Thesis ID 11101064 ID 12121132 http://hdl.handle.net/10361/4901 en application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
Long term evolution (LTE)
spellingShingle Computer science and engineering
Long term evolution (LTE)
Intesar, Sadia
Saha, Subarno
Cooperative game theory based load balancing in long term evolution network
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
format Thesis
author Intesar, Sadia
Saha, Subarno
author_facet Intesar, Sadia
Saha, Subarno
author_sort Intesar, Sadia
title Cooperative game theory based load balancing in long term evolution network
title_short Cooperative game theory based load balancing in long term evolution network
title_full Cooperative game theory based load balancing in long term evolution network
title_fullStr Cooperative game theory based load balancing in long term evolution network
title_full_unstemmed Cooperative game theory based load balancing in long term evolution network
title_sort cooperative game theory based load balancing in long term evolution network
publisher BRAC University
publishDate 2016
url http://hdl.handle.net/10361/4901
work_keys_str_mv AT intesarsadia cooperativegametheorybasedloadbalancinginlongtermevolutionnetwork
AT sahasubarno cooperativegametheorybasedloadbalancinginlongtermevolutionnetwork
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