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ECS-NBS: Exact Computation of Sequential Nash Bargaining Solutions

Title
ECS-NBS: Exact Computation of Sequential Nash Bargaining Solutions
Authors
Cha, ChaeyeonPark, Hyunggon
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2022
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN
0018-9545JCR Link

1939-9359JCR Link
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY vol. 71, no. 12, pp. 13453 - 13457
Keywords
Constant relative risk aversion utility functionNash bargaining solutionresource management
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
In order to support reliability and safety in autonomous driving services, vehicular networks should be able to efficiently and fairly allocate the time-varying and limited resources to multiple vehicles as quickly as possible. In this paper, we adopt the Nash bargaining solution (NBS) as the resource management strategy. However, the resource allocation based on the NBS requires exponentially increasing computational complexity for dynamically changing resources over time. We propose an analytic solution, referred to as the exact computation of the sequential NBS (ECS-NBS), to perfectly compute the NBS sequentially without any iterations. The key idea is to use the axiom of independence of linear transformations in NBS for the design of a transformation matrix that captures the changes in the adjacent feasible utility sets. This enables the NBS to be invariant to the change of utility sets over time, yielding the perfectly accurate NBS with the lowest complexity, as confirmed through simulations.
DOI
10.1109/TVT.2022.3196063
Appears in Collections:
공과대학 > 전자전기공학전공 > Journal papers
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