Title
Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks.
Abstract
We consider an ad hoc network where multiple users access the same set of channels. The channel characteristics are unknown and could be different for each user (heterogeneous). No controller is available to coordinate channel selections by the users, and if multiple users select the same channel, they collide and none of them receive any rate (or reward). For such a completely decentralized network we develop algorithms that aim to achieve optimal network throughput. Due to lack of any direct communication between the users, we allow each user to exchange information by transmitting in a specific pattern and sense such transmissions from others. However, such transmissions and sensing for information exchange do not add to network throughput. For the wideband sensing and narrowband sensing scenarios, we first develop explore-and-commit algorithms that converge to near-optimal allocation with high probability in a small number of rounds. Building on this, we develop an algorithm that gives logarithmic regret. We validate our claims through extensive experiments and show that our algorithms perform significantly better than the state-of-the-art CSM-MAB, dE <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> and dE <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> -TS algorithms.
Year
DOI
Venue
2019
10.1109/infocom.2019.8737653
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
Keywords
Field
DocType
Sensors,Resource management,Ad hoc networks,Narrowband,Wideband,Measurement,Throughput
Wideband,Narrowband,Regret,Computer science,Information exchange,Computer network,Communication channel,Throughput,Heterogeneous network,Wireless ad hoc network
Journal
Volume
ISSN
ISBN
abs/1901.03868
0743-166X
978-1-7281-0515-4
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Harshvardhan Tibrewal110.69
Sravan Patchala220.73
Manjesh Kumar Hanawal39921.89
Sumit Jagdish Darak43616.39