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Delay constrained throughput-reliability tradeoff in network-coded wireless systems
MIT.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Communication Theory. Massachusetts Institute of Technology, USA.ORCID iD: 0000-0002-9709-0713
Department of Electrical Engineering and Computer Science, MIT.
Draper Laboratory.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the performance of delay constrained data transmission over wireless networks without end-to-end feedback. Forward error-correction coding (FEC) is performed at the bit level to combat channel distortions and random linear network coding (RLNC) is performed at the packet level to recover from packet erasures. We focus on the scenario where RLNC re-encoding is performed at intermediate nodes and we assume that any packet that contains bit errors after FEC decoding can be detected and erased. To facilitate explicit characterization of data transmission over network-coded wireless systems, we propose a generic two-layer abstraction of a network that models both bit/symbol-level operations at the lower layer (termed PHY-layer) over several heterogeneous links and packet-level operations at the upper layer (termed NET-layer). Based on this model, we propose a network reduction method to characterize the throughput-reliability function of the end-to-end transmission. Our approach not only reveals an explicit tradeoff between data delivery rate and reliability, but also provides an intuitive visualization of the bottlenecks within the underlying network. We illustrate our approach via a point-to-point link and a relay network and highlight the advantages of this method over capacity-based approaches.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014.
Keyword [en]
Wireless networks, random linear network coding, delay, throughput, reliability, cross-layer optimization
National Category
Telecommunications
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-155884OAI: oai:DiVA.org:kth-155884DiVA: diva2:763206
Conference
IEEE Global Communications Conference, Austin, TX, Dec. 8-12, 2014
Funder
Swedish Research Council
Note

Accepted for publication in IEEE Globecom 2014. Copyright will be transferred to IEEE without notice.

QS22014

Available from: 2014-11-13 Created: 2014-11-13 Last updated: 2014-12-03Bibliographically approved

Open Access in DiVA

Globecom2014(622 kB)