How long before i regain my signal?

Tingting Lu, Pei Liu, Shivendra S. Panwar

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

Abstract

Shadow fading has been proven to be a significant contributor to channel variations in wireless communication. In most cases shadow fading is assumed to have a log-normal fading distribution to model the loss at a certain location. However, in a mobile network, it is also important to know how shadow fading is correlated both in space and in time, which can greatly affect application layer behavior and service quality. This paper is an attempt to characterize shadow fading so as to accurately study its impact on the application layer quality of service. If the correlation is strong over time and space, shadow fading can result in a long outage. In this paper, we assume shadow fading is exponentially correlated in space. To study correlated shadow fading and its resultant outage durations, a first-order Markov chain model is developed and validated. The Markov chain model is constructed by partitioning the entire shadow fading range into a finite number of intervals. The state transition matrix of the Markov chain is derived from the joint probability distribution of correlated log-normal shadow fading. Based on the proposed Markov chain model, the frequency and duration of outage near the edge of a single cell is analyzed. To validate the Markov chain model, correlated Gaussian random fields are simulated to analyze the outage frequency and durations due to correlated shadow fading. Comparing the simulation results with the Markov chain model results, we can conclude that the proposed Markov chain model is an efficient way to describe the channel variations, and the user experienced outage behavior of the channel.

Original languageEnglish (US)
Title of host publication2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479984282
DOIs
StatePublished - Apr 15 2015
Event2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 - Baltimore, United States
Duration: Mar 18 2015Mar 20 2015

Other

Other2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
CountryUnited States
CityBaltimore
Period3/18/153/20/15

Fingerprint

Regain
Markov processes
Outages
Fading (radio)
Probability distributions
Wireless networks
Quality of service
Communication

ASJC Scopus subject areas

  • Information Systems

Cite this

Lu, T., Liu, P., & Panwar, S. S. (2015). How long before i regain my signal? In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 [7086854] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2015.7086854

How long before i regain my signal? / Lu, Tingting; Liu, Pei; Panwar, Shivendra S.

2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7086854.

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

Lu, T, Liu, P & Panwar, SS 2015, How long before i regain my signal? in 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015., 7086854, Institute of Electrical and Electronics Engineers Inc., 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015, Baltimore, United States, 3/18/15. https://doi.org/10.1109/CISS.2015.7086854
Lu T, Liu P, Panwar SS. How long before i regain my signal? In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7086854 https://doi.org/10.1109/CISS.2015.7086854
Lu, Tingting ; Liu, Pei ; Panwar, Shivendra S. / How long before i regain my signal?. 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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