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Demand Aware Dynamic Pricing for Smart Grid Communication Networks: A Stackelberg Game Approach.

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Title: Demand Aware Dynamic Pricing for Smart Grid Communication Networks: A Stackelberg Game Approach.
Authors: Feng, Xingxing1 (AUTHOR), Gu, Haitong1,2 (AUTHOR), Guo, Bin1 (AUTHOR), Wu, Xiaoqiang1,2 (AUTHOR), Dong, Jun1 (AUTHOR), Lin, Jingbo1 (AUTHOR), Wang, Weidong2 (AUTHOR) acwweidwang@163.com, Guan, Quansheng2 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2846. 26p.
Subject Terms: *Game theory, *Software-defined networking, *Bandwidth allocation, *Resource allocation, *Telecommunication systems, *Smart power grids, *Time-based pricing
Abstract: Smart grid communication services often have heterogeneous and time-varying bandwidth demands, which makes fixed resource allocation and flat pricing less suitable for on-demand service provisioning. This paper studies a demand-aware dynamic pricing problem in a resource-allocable communication network enabled by software-defined networking, where service requests observe network resource status and purchase bandwidth according to the announced price. Unlike pricing models that mainly describe the price–quantity tradeoff, the proposed model incorporates the minimum acceptable bandwidth demand of each request as a service-side acceptance threshold. A Stackelberg game is formulated in which the communication resource manager acts as the leader and service requests act as followers. We define the utility and revenue functions, analyze the existence of equilibrium, and derive the follower-side best response through backward induction. The resulting response is piecewise, which makes exact equilibrium characterization difficult in multi-user settings. Therefore, a distributed iterative algorithm and a backward-induction-based genetic algorithm are developed for different information settings. Simulation results show how service-side parameters affect pricing behavior and evaluate the proposed methods under heterogeneous-user, multi-user, and capacity-limited scenarios. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194909295
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Demand Aware Dynamic Pricing for Smart Grid Communication Networks: A Stackelberg Game Approach.
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  Data: <searchLink fieldCode="AR" term="%22Feng%2C+Xingxing%22">Feng, Xingxing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Haitong%22">Gu, Haitong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Bin%22">Guo, Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Xiaoqiang%22">Wu, Xiaoqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Jun%22">Dong, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Jingbo%22">Lin, Jingbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Weidong%22">Wang, Weidong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> acwweidwang@163.com</i><br /><searchLink fieldCode="AR" term="%22Guan%2C+Quansheng%22">Guan, Quansheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2846. 26p.
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  Data: *<searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Software-defined+networking%22">Software-defined networking</searchLink><br />*<searchLink fieldCode="DE" term="%22Bandwidth+allocation%22">Bandwidth allocation</searchLink><br />*<searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br />*<searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Time-based+pricing%22">Time-based pricing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Smart grid communication services often have heterogeneous and time-varying bandwidth demands, which makes fixed resource allocation and flat pricing less suitable for on-demand service provisioning. This paper studies a demand-aware dynamic pricing problem in a resource-allocable communication network enabled by software-defined networking, where service requests observe network resource status and purchase bandwidth according to the announced price. Unlike pricing models that mainly describe the price–quantity tradeoff, the proposed model incorporates the minimum acceptable bandwidth demand of each request as a service-side acceptance threshold. A Stackelberg game is formulated in which the communication resource manager acts as the leader and service requests act as followers. We define the utility and revenue functions, analyze the existence of equilibrium, and derive the follower-side best response through backward induction. The resulting response is piecewise, which makes exact equilibrium characterization difficult in multi-user settings. Therefore, a distributed iterative algorithm and a backward-induction-based genetic algorithm are developed for different information settings. Simulation results show how service-side parameters affect pricing behavior and evaluate the proposed methods under heterogeneous-user, multi-user, and capacity-limited scenarios. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909295
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        Value: 10.3390/en19122846
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        Text: English
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        PageCount: 26
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      – SubjectFull: Game theory
        Type: general
      – SubjectFull: Software-defined networking
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      – SubjectFull: Bandwidth allocation
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      – SubjectFull: Resource allocation
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      – SubjectFull: Telecommunication systems
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      – SubjectFull: Smart power grids
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      – SubjectFull: Time-based pricing
        Type: general
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      – TitleFull: Demand Aware Dynamic Pricing for Smart Grid Communication Networks: A Stackelberg Game Approach.
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            NameFull: Feng, Xingxing
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            NameFull: Gu, Haitong
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              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: Energies (19961073)
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