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A novel convex power adaptation strategy for multicast communications using random linear network coding schemes

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Andrea Tassi
  • Dania Marabissi
  • Romano Fantacci
  • David Di Lorenzo
  • Mirko Maischberger
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Publication date2012
Host publication2012 IEEE International Conference On Communications (ICC)
Place of PublicationNew York
PublisherIEEE
Pages5270-5274
Number of pages5
ISBN (electronic)9781457720529
ISBN (print)9781457720529
<mark>Original language</mark>English
EventIEEE International Conference on Communications (ICC) - Ottawa, Canada
Duration: 10/06/201215/06/2012

Conference

ConferenceIEEE International Conference on Communications (ICC)
Country/TerritoryCanada
Period10/06/1215/06/12

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications (ICC)
Country/TerritoryCanada
Period10/06/1215/06/12

Abstract

3GPP's Long Term Evolution (LTE) represents the one of the most valuable alternatives to offer a wireless broadband access in fully mobile network context. In particular LTE is able to manage several communication flows characterized by different QoS constrains. This paper deals with a network topology where the mobile users are clustered in Multicast Groups and the base station broadcasts a different traffic flow to each cluster. In order to improve the network throughput on a per-user basis, all communications rely on a Random Linear Network Coding (RLNC) scheme. A key aspect in the QoS management is represented by the power adaptation strategy in use. This paper proposes a novel convex formulation to the power adaptation problem for the downlink phase taking into account the specific RLNC scheme adopted by each communication flow. By the proposed convex formalization, an optimal solution of the problem can be early found in real time. Moreover, the proposed power adaptation strategy shows good performance for what concern throughput and fairness among the users when compared with other alternatives.