Paper Info
Title
Asynchronous Resource Allocation In Distributed Heterogeneous Networks
Abstract
Stochastic network optimization problems entail finding resource allocation policies that are optimum on an average but must be designed in an online fashion. Such problems are ubiquitous in communication networks, where resources such as energy and bandwidth are divided among nodes to satisfy certain long-term objectives. This paper proposes an asynchronous incremental dual decent resource allocation algorithm that utilizes delayed stochastic gradients for carrying out its updates. It is shown that with constant step size, the proposed resource allocation policy is asymptotically near-optimal. An application involving multi-cell coordinated beamforming is detailed, demonstrating the usefulness of the proposed algorithm.
Year
Venue
Field
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Signal processing,Telecommunications network,Computer science,Computer network,Real-time computing,Optimization problem,Distributed computing,Asynchronous communication,Beamforming,Mathematical optimization,Bandwidth (signal processing),Resource allocation,Heterogeneous network
DocType
ISSN
Citations 
Conference
1550-3607
0
PageRank 
References 
Authors
0.34
19
2
Name
Order
Citations
PageRank
Amrit S. Bedi172.14
Ketan Rajawat212425.44