A Cooperative Multiagent Based Spectrum Sharing

Mir, Usama; Merghem-Boulahia, Leïla; Gaïti, Dominique

doi:10.1109/aict.2010.31

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…The goal is to find an assignment of channels to APs that minimizes the total interference experienced in the WLAN. Xie, Howitt, and Raja (2007) and Mir, Merghem-Boulahia, and Gaïti (2010) study dynamic solutions to the problem of allocating and utilizing the wireless network's available spectrum. In such a problem, the agents operate in a dynamic radio frequency environment that is composed of time-varying interference sources, which are periodically sampled and measured.…”

Section: Radio Frequency Allocation Problemsmentioning

confidence: 99%

Distributed Constraint Optimization Problems and Applications: A Survey

Fioretto¹,

Pontelli²,

Yeoh³

2018

jair

144

119

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The field of multi-agent system (MAS) is an active area of research within artificial intelligence, with an increasingly important impact in industrial and other real-world applications. In a MAS, autonomous agents interact to pursue personal interests and/or to achieve common objectives. Distributed Constraint Optimization Problems (DCOPs) have emerged as a prominent agent model to govern the agents' autonomous behavior, where both algorithms and communication models are driven by the structure of the specific problem. During the last decade, several extensions to the DCOP model have been proposed to enable support of MAS in complex, real-time, and uncertain environments.This survey provides an overview of the DCOP model, offering a classification of its multiple extensions and addressing both resolution methods and applications that find a natural mapping within each class of DCOPs. The proposed classification suggests several future perspectives for DCOP extensions, and identifies challenges in the design of efficient resolution algorithms, possibly through the adaptation of strategies from different areas.

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Section: Radio Frequency Allocation Problemsmentioning

confidence: 99%

Distributed Constraint Optimization Problems and Applications: A Survey

Fioretto¹,

Pontelli²,

Yeoh³

2018

jair

144

119

View full text Add to dashboard Cite

show abstract

“…A muti-agent systems based spectrum sharing strategy is proposed in [5], specifically, a cooperative muti-agent systems is considered, in which the agents are deployed over primary and secondary user devices. The developed cooperation mechanism is similar to that of contract net protocol (CNP), in which the individual secondary user (SU) agent should send messages to the appropriate neighboring primary user (PU) agents whenever needed and, subsequently, the related PU agents should reply to these agents in order to make a spectrum sharing agreement.…”

Section: Multi-agent Systems For Dynamic Spectrum Allocation An mentioning

confidence: 99%

Toward Cognitive Radio Resource Management Based on Multi-Agent Systems for Improvement of Real-Time Application Performance

Amraoui

Benidriss

Benmammar

et al. 2012

2012 5th International Conference on New Technologies, Mobility and Security (NTMS)

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Cognitive Radio (CR) is a promising technology that can alleviate the spectrum shortage problem by enabling unlicensed users equipped with CRs to coexist with incumbent users in licensed spectrum bands while causing no interference to incumbent communications. In this paper, we propose a new approach which uses CR for improving real-time application performance related to only one cognitive radio mobile terminal (CRMT). We also present a synthesis of research relating to dynamic spectrum allocation and sharing in the context of CR networks using multi-agent systems. In our future work, we will seek to improve real-time application performance related to many CRMT.

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2013

Radio Resource Allocation and Dynamic Spectrum Access

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A Cooperative Multiagent Based Spectrum Sharing

Cited by 8 publications

References 11 publications

Distributed Constraint Optimization Problems and Applications: A Survey

Distributed Constraint Optimization Problems and Applications: A Survey

Toward Cognitive Radio Resource Management Based on Multi-Agent Systems for Improvement of Real-Time Application Performance

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