Multi-agent Q-learning for autonomous D2D communication

This paper is devoted to autonomous device-to-device (D2D) communication in cellular networks. The aim of each D2D pair is to maximize its throughput subject to the minimum signal-to-interference-plus-noise ratio (SINR) constraints. This problem is represented by a stochastic non-cooperative game wh...

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Bibliographic Details
Main Authors: Alia Asheralieva, Yoshikazu Miyanaga
Format: Default Conference proceeding
Published: 2017
Subjects:
Device-to-device communication
Interference management
LTE-A
Reinforcement learning
Resource allocation
Online Access:https://hdl.handle.net/2134/25919677.v1
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