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Efficient Load Balancing using D2D Communication and Biasing in LTE-Advance Het-Nets

Published: 25 September 2015 Publication History

Abstract

The main goal of this research is to devise an efficient algorithm for balancing load among different tier cells so that more number of users can simultaneously access resources. There has been an unprecedented growth in the number of users accessing internet and also they are using applications which require a very high data rate. For this it is required that the load on a particular cell is managed efficiently as energy consumption also increases. Using Device to Device (D2D) communication traffic is offloaded from base station and Quality of Service (QoS) is also increased as the users may get data from their peers rather than using core infrastructure. Load balancing is also achieved by offloading the traffic from a congested macro cell base station to an uncongested femtocell base station as they consume less power and are also low cost substitute to macro cells base stations. D2D communication has the benefit of intelligent reuse of radio resources and also it helps to offload the network traffic and increase QoS. So this research is directed to address a number of issues arising by using D2D communication such as security, seamless offloading, mobility of the relay.

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cover image ACM Other conferences
ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015
September 2015
481 pages
ISBN:9781450335522
DOI:10.1145/2818567
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2015

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Author Tags

  1. Biasing factor
  2. Device to Device communication
  3. Femtocells
  4. Heterogeneous networks

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ICCCT '15

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Overall Acceptance Rate 33 of 124 submissions, 27%

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