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Game theory for networks: A tutorial on game-theoretic tools for emerging signal processing applications
The aim of this tutorial is to provide an overview, although necessarily incomplete, of game
theory (GT) for signal processing (SP) in networks. One of the main features of this …
theory (GT) for signal processing (SP) in networks. One of the main features of this …
[BOG][B] Game theory and learning for wireless networks: fundamentals and applications
S Lasaulce, H Tembine - 2011 - books.google.com
Written by leading experts in the field, Game Theory and Learning for Wireless Networks
Covers how theory can be used to solve prevalent problems in wireless networks such as …
Covers how theory can be used to solve prevalent problems in wireless networks such as …
Newsvendor model for a dyadic supply chain with Nash bargaining fairness concerns
The paper investigates newsvendor problem for a dyadic supply chain in which both the
supplier and the retailer have the preference of status-seeking with fairness concerns. Nash …
supplier and the retailer have the preference of status-seeking with fairness concerns. Nash …
IoMT: A medical resource management system using edge empowered blockchain federated learning
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …
problems of divergent interests, unregulated policies, privacy and security, and the resource …
Dynamic IoT device clustering and energy management with hybrid NOMA systems
Fog computing, as a promising technique, is with huge advantages in dealing with large
amounts of data and information with low latency and high security. We introduce a …
amounts of data and information with low latency and high security. We introduce a …
Game-theoretic analysis of a two-echelon supply chain with option contract under fairness concerns
Option contracts are widely used in practice and can be employed to achieve channel
coordination. However, limited research work has been reported on option contracts, which …
coordination. However, limited research work has been reported on option contracts, which …
Consensus group decision making based on coalitional Nash-bargaining game
F Meng, J Tang, X Li - Expert Systems with Applications, 2024 - Elsevier
Consensus analysis is required to ensure the quality of decision results. It means that some
DMs' opinions must be adjusted to reach a consensus. As a result, it harms DMs' benefits …
DMs' opinions must be adjusted to reach a consensus. As a result, it harms DMs' benefits …
Consensus reaching process for traditional group decision making in view of the optimal adjustment mechanism
FY Meng, W Pedrycz, J Tang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Consensus reaching process (CRP) is a key topic in the area of group decision making
(GDM). When the consensus level is not high enough, it becomes necessary to adjust the …
(GDM). When the consensus level is not high enough, it becomes necessary to adjust the …
Fair and efficient user-network association algorithm for multi-technology wireless networks
Recent mobile equipment (as well as the norm IEEE 802.21) offers the possibility for users to
switch from one technology to another (vertical handover). This allows flexibility in resource …
switch from one technology to another (vertical handover). This allows flexibility in resource …
A cooperative game framework for QoS guided job allocation schemes in grids
R Subrata, AY Zomaya… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
A grid differs from traditional high performance computing systems in the heterogeneity of
the computing nodes as well as the communication links that connect the different nodes …
the computing nodes as well as the communication links that connect the different nodes …