Resource allocation strategies for network-coded service delivery over LTE systems

Ioannis Chatzigeorgiou

Abstract

Network coding has the potential to significantly improve network reliability by mixing packets at a source node or at intermediate network nodes prior to transmission. In the first part of this talk, the concept of network coding will be quickly reviewed and extended to various cases including systematic, layered and sparse network coding. Performance expressions that describe the decoding probability of each case will be presented and discussed. The second part of the tutorial will use the derived performance expressions in resource allocation models, which can be easily adapted to the Long Term Evolution-Advanced (LTE-A) standard and its 5G features. More specifically, the idea of unequal error protection will form part of a resource allocation framework, whose objective can be either provider-centric or user-centric. In the former case, the provider can optimise the number of transmitted coded packets and the adopted modulation and coding scheme in order to offer a service to a minimum fraction of users without violating an existing service lever agreement. In the latter case, the aim is to maximise the ratio between the number of recoverable layers by the users (user’s profit) and the total number of coded packet transmissions (provider's cost). The impact of the adopted network coding method on performance and the effect of sparse network coding on packet transmissions and decoding complexity will also be discussed.

Short Bio:
Ioannis Chatzigeorgiou (http://www.lancaster.ac.uk/~chatzige/) is a Lecturer in Communications Systems at the School of Computing and Communications, Lancaster University (UK). Prior to his appointment at Lancaster University, he held research positions at the University of Cambridge and the Norwegian University of Science and Technology (NTNU), supported by the Engineering and Physical Sciences Research Council (EPSRC) and the European Research Consortium for Informatics and Mathematics (ERCIM), respectively. He was the principal investigator on the EPSRC-funded project “R2D2: Rapid and Reliable Data Delivery” (http://www.lancaster.ac.uk/~chatzige/R2D2/) that looks into theoretical and practical aspects of network coding and is a member of the COST Action IC1104. He has published 40 journal and conference papers on communication theory with an emphasis on forward error correction, relay-aided communications, cooperative networks and network coding.