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Cross-Layer Optimization of Wireless Links under Reliability and Energy Constraints
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-3717-7793
KTH Royal Institute of Technology.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-0873-7827
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The vision of connecting billions of battery operated devices to be used for diverse emerging applications calls for a wireless communication system that can support stringent reliability and latency requirements. Both reliability and energy efficiency are critical for many of these applications that involve communication with short packets which undermine the coding gain achievable from large packets. In this paper, we study a cross-layer approach to optimize the performance of low-power wireless links. At first, we derive a simple and accurate packet error rate (PER) expression for uncoded schemes in block fading channels based on a new proposition that shows that the waterfall threshold in the PER upper bound in Nakagami-m fading channels is tightly approximated by the m-th moment of an asymptotic distribution of PER in AWGN channel. The proposed PER approximation establishes an explicit connection between the physical and link layers parameters, and the packet error rate. We exploit this connection for cross-layer design and optimization of communication links. To this end, we propose a semi-analytic framework to jointly optimize signal-to-noise ratio (SNR) and modulation order at physical layer, and the packet length and number of retransmissions at link layer with respect to distance under the prescribed delay and reliability constraints.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Wireless sensor networks, Packet error rate, Fading channels, Cross-layer optimization, Energy efficient communication
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-32449OAI: oai:DiVA.org:miun-32449DiVA, id: diva2:1168463
Conference
IEEE WCNC'18 IEEE Wireless Communications and Networking Conference, Barcelona, Spain, 15-18 April 2018
Projects
TimelinessAvailable from: 2017-12-20 Created: 2017-12-20 Last updated: 2018-04-11Bibliographically approved

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Mahmood, AamirGidlund, Mikael

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf