LTE-U sum-rate maximization considering QoS and co-existence issue

Anupam Kumar Bairagi, Nguyen H. Tran, Hong Choong Seon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

Wireless communication industry is facing storm of exponential mobile traffic increase due to richer contents sharing over the network through smart devices. A innocent resolution for envisaging this contravention is to employ more licensed spectrum. But this is a scare resource and sufficient additional spectrum will be unavailable in the upcoming days. So, both academia and industry are engaging different new technologies to deal with this traffic cyclone in cellular networks. Long Term Evaluation-Advanced (LTE-A) is such a recent technology that serves heavy mobile traffic. But with insufficient licensed spectrum, LTE-A also cannot meet the quality of service (QoS) requirements of all it's users. So, by augmenting the benefits of LTE-A into unlicensed spectrum known as LTE-U with the help of carrier aggregation (CA) technique, we can boost the performance of 4G/5G cellular network. The process will degrade the performance of other technologies which are already using same unlicensed band. Moreover, if multiple cellular network operators (CNOs) use the same unlicensed band then they will diminish the benefits of each others. In this paper, we explore the CA of licensed and unlicensed spectrum when QoS of user cannot be met with licensed spectrum by deploying dual mode small cell base station (SBS) and considering minimum requirement of unlicensed WiFi access points (WAP). Here, we formulate the resource allocation as an optimization problem which wants to maximize the sum-rate of LTE-U system. Then we solve this problem with the help of Nash bargaining game (NBG) between LTE-U and WAP by cooperative approach. Simulation results show the effectiveness and efficiency of the proposed approach considering QoS requirement of LTE-U users and coexistence issue with WAPs.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages352-357
Number of pages6
ISBN (Electronic)9781509030156
DOIs
Publication statusPublished - 17 Mar 2017
Event2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 - Jeju Island, Korea, Republic of
Duration: 13 Feb 201716 Feb 2017

Publication series

Name2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017

Conference

Conference2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/02/1716/02/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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