Dense deployment of small base stations (SBSs) is one of the main methods to meet the 5G data rate requirements. However, high density of independent SBSs will increase the interference within the network. To circumvent this interference, there is a need to develop self-organizing methods to manage the resources of the network. In this paper, we present a distributed power allocation algorithm based on multi-agent Q-learning in an interference-limited network. The proposed method leverages coordination through simple message passing between SBSs to achieve an optimal joint power allocation. Simulation results show the optimality of the proposed method for a two-user case.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Joint Power Allocation in Interference-Limited Networks via Distributed Coordinated Learning


    Contributors:


    Publication date :

    2018-08-01


    Size :

    776869 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English