Channel Probing in Opportunistic Communication Systems
Name
channelProbing copy.pdf
Size
654.64 KB
Format
Adobe PDF
Checksum (MD5)
f823877c4e7a5751789c2c90d7ff0a51
Author(s)
Keslassy, Isaac
Johnston, Matthew Ryan
Modiano, Eytan H
Date Issued
June 2017
Journal
IEEE Transactions on Information Theory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Johnston, Matthew, et al. “Channel Probing in Opportunistic Communication Systems.” IEEE Transactions on Information Theory, vol. 63, no. 11, Nov. 2017, pp. 7535–52.
Version
Original manuscript
Abstract
We consider a multi-channel communication system in which a transmitter has access to M channels, but does not know the state of any of the channels. We model the channel state using an ON/OFF Markov process, and allow the transmitter to probe a single channel at predetermined probing intervals to decide over which channel to transmit. For models in which the transmitter must transmit over the probed channel, it has been shown that a myopic policy probing the channel most likely to be ON is optimal. In this paper, we allow the transmitter to select a channel over which to transmit that is potentially different from the probed channel. For a system of two channels, we show that the choice of which channel to probe does not affect the throughput. For a system with many channels, we show that a probing policy that probes the channel that is the second-most likely to be ON results in higher throughput. We extend the channel probing problem to dynamically choose when to probe based on probing history, and characterize the optimal probing policy for various scenarios.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TIT.2017.2717580
