Chaitanya, A Krishna and Mukherji, Utpal and Sharma, Vinod (2017) Learning Equilibria of a Stochastic Game on Gaussian Interference Channels with Incomplete Information. [Book Chapter]
Full text not available from this repository.Abstract
We consider a wireless communication system in which N transmitter-receiver pairs want to communicate with each other. Each transmitter transmits data using a power that depends on the channel gain to its receiver. If a receiver can successfully receive the message, it sends an acknowledgement (ACK), else it sends a negative ACK (NACK). Each user aims to maximize its probability of successful transmission. We formulate this problem as a stochastic game and propose a fully distributed learning algorithm to find a correlated equilibrium (CE); and we use a no regret algorithm to find a coarse correlated equilibrium (CCE). We compare the sum rate obtained at the CE, CCE, and a Pareto point, and also via some other well known recent algorithms.
| Item Type: | Book Chapter |
|---|---|
| Publisher: | Birkhauser |
| Additional Information: | The Copyright of this article belongs to the Birkhauser |
| Keywords: | Correlated equilibrium; Fading interference channel; Incomplete information game; Learning; Power allocation game; Regret matching |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 29 May 2022 05:00 |
| Last Modified: | 31 May 2022 04:55 |
| URI: | https://eprints.iisc.ac.in/id/eprint/72581 |
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