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Article: An Analytical Framework for Resource Allocation Between Data and Delayed Network State Information
Title | An Analytical Framework for Resource Allocation Between Data and Delayed Network State Information |
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Authors | |
Keywords | Bandwidth Data communication delayed information Delays network state information |
Issue Date | 2019 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=90 |
Citation | IEEE/ACM Transactions on Networking, 2019, v. 27 n. 4, p. 1487-1500 How to Cite? |
Abstract | The data transmission performance of a network protocol is closely related to the amount of available information about the network state. In general, more network state information results in better data transmission performance. However, acquiring such state information expends network bandwidth resource. Thus, a trade-off exists between the amount of network state information collected, and the improved protocol performance due to this information. A framework has been developed in the previous efforts to study the optimal trade-off between the amount of collected information and network performance. However, the effect of information delay is not considered in the previous analysis. In this paper, we extend the framework to study the relationship between the amount of collected state information and the achievable network performance under the assumption that information is subject to delay. Based on the relationship we could then obtain the optimal resource allocation between the data transmission and network state information acquisition in a time-varying network. We have considered both memoryless and memory-exploited scenarios in our framework. Structures of the Pareto optimal information collection and decision-making strategies are discussed. Examples of multiuser scheduling and multi-hop routing are used to demonstrate the framework's application to practical network protocols. IEEE |
Persistent Identifier | http://hdl.handle.net/10722/275723 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 2.034 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chuai, J | - |
dc.contributor.author | Li, VOK | - |
dc.date.accessioned | 2019-09-10T02:48:22Z | - |
dc.date.available | 2019-09-10T02:48:22Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE/ACM Transactions on Networking, 2019, v. 27 n. 4, p. 1487-1500 | - |
dc.identifier.issn | 1063-6692 | - |
dc.identifier.uri | http://hdl.handle.net/10722/275723 | - |
dc.description.abstract | The data transmission performance of a network protocol is closely related to the amount of available information about the network state. In general, more network state information results in better data transmission performance. However, acquiring such state information expends network bandwidth resource. Thus, a trade-off exists between the amount of network state information collected, and the improved protocol performance due to this information. A framework has been developed in the previous efforts to study the optimal trade-off between the amount of collected information and network performance. However, the effect of information delay is not considered in the previous analysis. In this paper, we extend the framework to study the relationship between the amount of collected state information and the achievable network performance under the assumption that information is subject to delay. Based on the relationship we could then obtain the optimal resource allocation between the data transmission and network state information acquisition in a time-varying network. We have considered both memoryless and memory-exploited scenarios in our framework. Structures of the Pareto optimal information collection and decision-making strategies are discussed. Examples of multiuser scheduling and multi-hop routing are used to demonstrate the framework's application to practical network protocols. IEEE | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=90 | - |
dc.relation.ispartof | IEEE/ACM Transactions on Networking | - |
dc.rights | IEEE/ACM Transactions on Networking. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Bandwidth | - |
dc.subject | Data communication | - |
dc.subject | delayed information | - |
dc.subject | Delays | - |
dc.subject | network state information | - |
dc.title | An Analytical Framework for Resource Allocation Between Data and Delayed Network State Information | - |
dc.type | Article | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/TNET.2019.2922028 | - |
dc.identifier.scopus | eid_2-s2.0-85068578717 | - |
dc.identifier.hkuros | 302915 | - |
dc.identifier.volume | 27 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1487 | - |
dc.identifier.epage | 1500 | - |
dc.identifier.isi | WOS:000482564000015 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1063-6692 | - |