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Carrier Aggregation in LTE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many advancements in LTE have been made as per 3GPP release papers. Release 8/9 terminals were not capable of providing greater data speed and hence did not meet the IMT-Advanced requirements. Therefore, there was a need to increase the downlink and uplink data speed. Release 10 introduced a new feature in LTE called carrier aggregation in which different component carriers are aggregated to increase the overall bandwidth. In LTE-Advance, up to five component carriers can be aggregated but commercial solutions use up to three component carriers providing a maximum downlink speed of up to 450Mbps. This paper provides an overview of carrier aggregation and its needs. For cell edge users, carrier aggregation can be supported by enabling cross-carrier scheduling which solves the problem of inter-cell interference. Carrier scheduling is enabled by eNodeb (eNB). In the later part of this paper, simulation is discussed which provides an understanding of the calculation of various frequency parameters which are specified by 3GPP and also shows the plot of intra-band contiguous carrier aggregation which is commonly used.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-138
Number of pages4
ISBN (Electronic)9781728148762
DOIs
Publication statusPublished - 05-2020
Event2020 International Conference on Intelligent Computing and Control Systems, ICICCS 2020 - Madurai, India
Duration: 13-05-202015-05-2020

Publication series

NameProceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020

Conference

Conference2020 International Conference on Intelligent Computing and Control Systems, ICICCS 2020
Country/TerritoryIndia
CityMadurai
Period13-05-2015-05-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Management Science and Operations Research
  • Control and Optimization

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