Markov channel-based performance analysis for millimeter wave mobile networks

Russell Ford, Sundeep Rangan, Evangelos Mellios, Di Kong, Andrew Nix

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A critical issue facing millimeter wave (mmWave) cellular systems is channel dynamics. MmWave signals are extremely susceptible to blocking and thus may vary rapidly with motion, orientation of the handset and local blockages. In this work, we derive a Finite State Markov Channel (FSMC) model of the mmWave channel from the statistics of ray tracing simulation data, which are based on channel measurements in an urban environment. The FSMC tracks the mutual information effective SINR (MI-ESNR), which can then be used in network simulations. The FSMC model is applied to analyze queue behavior and obtain the latency, throughput, packet error and droppage statistics for mmWave links at the MAC layer, making it useful for higher-layer analysis, as well. We evaluate the accuracy of the channel model for various model complexities and packet arrival rates and show that the model performance closely matches the empirical ray tracing data.

Original languageEnglish (US)
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
StatePublished - May 10 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: Mar 19 2017Mar 22 2017

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period3/19/173/22/17

Fingerprint

Millimeter waves
Wireless networks
Ray tracing
Statistics
Telecommunication links
Throughput

Keywords

  • 5G mobile communication
  • Channel models
  • Millimeter wave communication

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ford, R., Rangan, S., Mellios, E., Kong, D., & Nix, A. (2017). Markov channel-based performance analysis for millimeter wave mobile networks. In 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings [7925768] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2017.7925768

Markov channel-based performance analysis for millimeter wave mobile networks. / Ford, Russell; Rangan, Sundeep; Mellios, Evangelos; Kong, Di; Nix, Andrew.

2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7925768.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ford, R, Rangan, S, Mellios, E, Kong, D & Nix, A 2017, Markov channel-based performance analysis for millimeter wave mobile networks. in 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings., 7925768, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, United States, 3/19/17. https://doi.org/10.1109/WCNC.2017.7925768
Ford R, Rangan S, Mellios E, Kong D, Nix A. Markov channel-based performance analysis for millimeter wave mobile networks. In 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7925768 https://doi.org/10.1109/WCNC.2017.7925768
Ford, Russell ; Rangan, Sundeep ; Mellios, Evangelos ; Kong, Di ; Nix, Andrew. / Markov channel-based performance analysis for millimeter wave mobile networks. 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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