Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability

Hoang, DT; Niyato, D; Wang, P; Kim, DI

Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability

Hoang, DT Niyato, D Wang, P Kim, DI

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2014 IEEE International Conference on Communications, ICC 2014, 2014, pp. 2835-2840
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Hoang, DT
dc.contributor.author	Niyato, D
dc.contributor.author	Wang, P
dc.contributor.author	Kim, DI
dc.contributor.editor	Jamalipour, A
dc.contributor.editor	Deng, DJ
dc.date	2014-06-10
dc.date.accessioned	2023-03-21T05:31:29Z
dc.date.available	2023-03-21T05:31:29Z
dc.date.issued	2014-01-01
dc.identifier.citation	2014 IEEE International Conference on Communications, ICC 2014, 2014, pp. 2835-2840
dc.identifier.isbn	9781479920037
dc.identifier.issn	1550-3607
dc.identifier.uri	http://hdl.handle.net/10453/167965
dc.description.abstract	In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian multiplier and the policy gradient method. In addition, to reduce the complexity of DEC-POMDP, we proposed a decentralized online learning algorithm with minimum communication among the wireless nodes. Under appropriate conditions, we showed that the proposed algorithm converges to a local optimal solution. The simulation results clearly showed the convergence as well as the efficiency of the proposed algorithm. © 2014 IEEE.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2014 IEEE International Conference on Communications, ICC 2014
dc.relation.ispartof	IEEE International Conference on Communications (ICC)
dc.relation.ispartofseries	IEEE International Conference on Communications
dc.relation.isbasedon	10.1109/ICC.2014.6883754
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability
dc.type	Conference Proceeding
utslib.location.activity	Sydney, AUSTRALIA
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T05:31:28Z
pubs.finish-date	2014-06-14
pubs.publication-status	Published
pubs.start-date	2014-06-10

Abstract:

In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian multiplier and the policy gradient method. In addition, to reduce the complexity of DEC-POMDP, we proposed a decentralized online learning algorithm with minimum communication among the wireless nodes. Under appropriate conditions, we showed that the proposed algorithm converges to a local optimal solution. The simulation results clearly showed the convergence as well as the efficiency of the proposed algorithm. © 2014 IEEE.

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