Resource allocation with reverse pricing for communication networks

Sang Yeob Jung; Seong Lyun Kim

doi:10.1109/ICC.2016.7510973

Resource allocation with reverse pricing for communication networks

Sang Yeob Jung, Seong Lyun Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Reverse pricing has been recognized as an effective tool to handle demand uncertainty in the travel industry (e.g., airlines and hotels). To investigate its viability for communication networks, we study the practical limitations of (operator-driven) time-dependent pricing that has been recently introduced, taking into account demand uncertainty. Compared to (operator-driven) time-dependent pricing, we show that the proposed pricing scheme can achieve triple-win solutions: an increase in the total average revenue of the operator; higher average resource utilization efficiency; and an increment in the total average payoff of the users. Our findings provide a new outlook on resource allocation, and design guidelines for adopting the reverse pricing scheme.

Original language	English
Title of host publication	2016 IEEE International Conference on Communications, ICC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479966646
DOIs	https://doi.org/10.1109/ICC.2016.7510973
Publication status	Published - 2016 Jul 12
Event	2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia Duration: 2016 May 22 → 2016 May 27

Publication series

Name	2016 IEEE International Conference on Communications, ICC 2016

Other

Other	2016 IEEE International Conference on Communications, ICC 2016
Country	Malaysia
City	Kuala Lumpur
Period	16/5/22 → 16/5/27

Bibliographical note

Funding Information:
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the CPRC(Communication Policy Research Center) support program (IITP-2015-H8201-15-1003) supervised by the IITP(Institute for Information & communications Technology Promotion).

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICC.2016.7510973

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author = "Jung, {Sang Yeob} and Kim, {Seong Lyun}",

note = "Funding Information: This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the CPRC(Communication Policy Research Center) support program (IITP-2015-H8201-15-1003) supervised by the IITP(Institute for Information & communications Technology Promotion). Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Communications, ICC 2016 ; Conference date: 22-05-2016 Through 27-05-2016",

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doi = "10.1109/ICC.2016.7510973",

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Jung, SY & Kim, SL 2016, Resource allocation with reverse pricing for communication networks. in 2016 IEEE International Conference on Communications, ICC 2016., 7510973, 2016 IEEE International Conference on Communications, ICC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Communications, ICC 2016, Kuala Lumpur, Malaysia, 16/5/22. https://doi.org/10.1109/ICC.2016.7510973

Resource allocation with reverse pricing for communication networks. / Jung, Sang Yeob; Kim, Seong Lyun.

2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7510973 (2016 IEEE International Conference on Communications, ICC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Reverse pricing has been recognized as an effective tool to handle demand uncertainty in the travel industry (e.g., airlines and hotels). To investigate its viability for communication networks, we study the practical limitations of (operator-driven) time-dependent pricing that has been recently introduced, taking into account demand uncertainty. Compared to (operator-driven) time-dependent pricing, we show that the proposed pricing scheme can achieve triple-win solutions: an increase in the total average revenue of the operator; higher average resource utilization efficiency; and an increment in the total average payoff of the users. Our findings provide a new outlook on resource allocation, and design guidelines for adopting the reverse pricing scheme.

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Resource allocation with reverse pricing for communication networks

Abstract

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