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Modelling and analysis of link adaptation for LTE-advanced

Published: 03 November 2013 Publication History

Abstract

We present the detailed system model for adaptive modulation and coding (AMC) in the physical layer, and hybrid automatic repeat request (HARQ) in the data link layer, which play key roles in link layer of future wireless technologies as for e.g. LTE-Advanced. The packet combining schemes hard combining and weighted hard combining are compared in an attempt to reduce packet error rate (PER) and increase spectral efficiency. Simulation results show that both combining schemes will always keep the required quality of service (QoS) and increase spectral efficiency significantly over the system without AMC/HARQ. Moreover, with severe interference, hard combining will improve the system spectral efficiency more than weighted hard combining.

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  • (2014)Convergence of Internet of things and mobile cloud computingSystems Science & Control Engineering10.1080/21642583.2014.9132132:1(476-483)Online publication date: 30-May-2014

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cover image ACM Conferences
MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
November 2013
468 pages
ISBN:9781450323536
DOI:10.1145/2507924
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 the author(s) 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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Published: 03 November 2013

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Author Tags

  1. adaptive modulation and coding
  2. hard combining
  3. hybrid automatic repeat request
  4. link adaptation
  5. long term evolution
  6. quality of service
  7. weighted hard combining

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MSWiM '13 Paper Acceptance Rate 42 of 184 submissions, 23%;
Overall Acceptance Rate 398 of 1,577 submissions, 25%

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  • (2014)Convergence of Internet of things and mobile cloud computingSystems Science & Control Engineering10.1080/21642583.2014.9132132:1(476-483)Online publication date: 30-May-2014

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