Title
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation.
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 alloca...
Year
DOI
Venue
2018
10.1109/TSP.2018.2807423
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Signal processing algorithms,Resource management,Delays,Optimization,Stochastic processes,Convergence,Machine learning algorithms
Convergence (routing),Beamforming,Asynchronous communication,Mathematical optimization,Telecommunications network,Computer science,Algorithm,Resource allocation,Bandwidth (signal processing),Heterogeneous network,Optimization problem,Distributed computing
Journal
Volume
Issue
ISSN
66
9
1053-587X
Citations 
PageRank 
References 
2
0.38
32
Authors
2
Name
Order
Citations
PageRank
Amrit S. Bedi172.14
Ketan Rajawat212425.44