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Achievable Rate Analysis of Millimeter Wave Channels with Random Coding Error Exponent
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
2019 (English)In: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers (IEEE), 2019, Vol. 2019, article id 8761470Conference paper, Published paper (Refereed)
Abstract [en]

Millimeter Wave (mmWave) communication has attracted massive attentions, since the abundant available bandwidth can potentially provide reliable communication with orders of magnitude capacity improvements relative to microwave. However, the achievable rate of mmWave channels under latency and reliability constraints is still not quite clear. We investigate the achievable rates of mmWave channels by random coding error exponent (RCEE) with finite blocklength. With imperfect channel state information at the receiver, the exact and approximate analytical expressions of the training based maximum achievable rate are derived to capture the relationship among rate-latency-reliability. Additionally, the relationship between the training based maximum achievable rate and bandwidth is investigated. We show that there exists critical bandwidth to maximize the training based maximum achievable rate for the non-line-of-sight (NLoS) propagation. Numerical results show that the approximate expression of the training based maximum achievable rate are tight and can capture the tendency at low SNRs. In addition, results show that for a given rate, one can reduce both packet duration and decoding error probability by increasing bandwidth. Results also suggest that in some mmWave bands, e.g. 57-64 GHz band, the performance, i.e., Gallager function, is significantly affected by frequency selective power absorption.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 2019, article id 8761470
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-257932DOI: 10.1109/ICC.2019.8761470Scopus ID: 2-s2.0-85070225516ISBN: 9781538680889 (print)OAI: oai:DiVA.org:kth-257932DiVA, id: diva2:1349489
Conference
2019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention Center, Shanghai; China; 20 May 2019 through 24 May 2019
Note

QC 20190909

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09Bibliographically approved

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Huang, ShaochengXiao, Ming

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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Language
  • de-DE
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  • Other locale
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Output format
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