Nash Bargaining in Resource Allocation for Cognitive Radio: A Review

Chatterjee, Swagata Roy; Ghosh, Sreya; Chakraborty, Mohuya

doi:10.1007/s11277-020-08005-7

Cited by 4 publications

(2 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bargaining is an economic phenomenon that circumscribes negotiations, payoffs, and disagreement [265]. The modern theory of bargaining was proposed by John Nash in 1950 [266] as a two-player bargaining problem.…”

Section: ) Bargaining Gamesmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

View full text Add to dashboard Cite

With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm with profound applications in many aspects of society including homes, energy, agriculture, health-care, transportation, business, and manufacturing. A CPS uses suitable computational techniques such as game theory to enable different entities to interact with one another for taking necessary actions to obtain selected objectives. Recent literature on CPS has extensively used game theory to approach a variety of technical challenges. In order to make these contributions more accessible to a broader audience, there is a need for studies that can provide readers with a comprehensive understanding of different types of CPS and their attributes, then clearly outline why game theory is relevant for modeling different aspects of CPS, and also discuss how game theory has been used in relevant literature to date. This paper bridges this gap by 1) providing a general discussion of different types of CPS and their characteristics; 2) giving an overview of different types of game-theoretic approaches; 3) explaining why game theory is appropriate for modeling different types of CPS; and 4) finally, studying how game theory has been used in different CPS types to address their challenges. Further, we also identify some key research challenges for future investigation where game theory could be applied as a potential solution.

show abstract

Section: ) Bargaining Gamesmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In game-based algorithms, the formulation of the utility function plays an important role. The better is the utility function the better is the proposed algorithm [13]. From the available literature [14]- [20], it has been observed that most of the researchers have considered (i) bit error rate (BER) (ii) signal-to-interference-plus-noise ratio (SINR), (iii) energy consumption (iv) throughput, and (v) quality of service network metrics to formulate the utility function.…”

Section: Introductionmentioning

confidence: 99%

Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network

Rai¹,

Ghose

Sarma³

2021

IJEECS

View full text Add to dashboard Cite

Cognitive radio enabled wireless sensor network is capable of reducing the spectrum scarcity problem of the wireless networks. Looking at the scarcity of available bandwidth, and the high growth in the number of communication devices in recent times, cognitive radio technology has proven to be a promising technology for the days to come. The application of Game Theory in cognitive radio networks has been visible in recent research works. However, only limited literature is available in which possibilities of applying the game-theory based approaches for the challenging task of channel assignment in cognitive radio wireless sensor are available in the literature. It is understood that the crux of the solution to the problem of scheming games for allocation of the channel is centered on the selection of the utility function in order to increase the efficiency of the channel allocation algorithm. Accordingly, the study regarding the influence of several utility functions on the performance of the corresponding channel allocation algorithm is important. Such a study enables designers to arrive at the optimal utility function to be used in game-theory based channel allocation algorithms, and the same is explored to the best extent, in this paper. The detailed procedure of allocating channels to all the contending nodes through game-based channel allocation has been discussed in this paper. Moreover, the performance of six different utility functions proposed which can be used for channel allocation using game theory has been evaluated for respective performances through MATLAB-based simulations.

show abstract