DocumentCode
640224
Title
Channel probing in communication systems: Myopic policies are not always optimal
Author
Johnston, Michael ; Modiano, Eytan ; Keslassy, Isaac
Author_Institution
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2013
fDate
7-12 July 2013
Firstpage
1934
Lastpage
1938
Abstract
We consider a multi-channel communication system in which a transmitter has access to a large number of channels, but does not know the state of these channels. We model channel state using an ON/OFF Markovian model, and allow the transmitter to probe one of the channels at predetermined probing intervals to decide over which channel to transmit. For models in which the transmitter must send over the probed channel, it has been shown that a myopic policy that probes the channel most likely to be ON is optimal. In this work, we allow the transmitter to select a channel over which to transmit that is not necessarily the one it probed. We show that the myopic policy is not optimal, and propose a simple alternative probing policy, which achieves a higher per-slot expected throughput. Finally, we consider the case where there is a fixed cost associated with probing and derive optimal probing intervals.
Keywords
Markov processes; radio transmitters; wireless channels; channel probing; channel state; communication systems; multichannel communication system; myopic policies; on/off Markovian model; optimal probing intervals; predetermined probing intervals; probed channel; transmitter; Probes; Round robin; Throughput; Transmitters; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2157-8095
Type
conf
DOI
10.1109/ISIT.2013.6620563
Filename
6620563
Link To Document