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Power-Trading in Wireless Communications: A Cooperative Networking Business Model

Sithamparanathan Kandeepan, Sudharman K. Jayaweera, Riccardo Fedrizzi
2012 IEEE Transactions on Wireless Communications  
We present a business model using sealed bid procurement auction based game theory for power-trading in cooperative wireless communication with quality of service (QoS) constraints.  ...  Each relay updates its pricing index via reinforcement learning to win the game during successive bidding intervals of the repeated game.  ...  Sequential Games in Rapidly Varying Channels with Reinforcement Learning As in any general learning techniques, the proposed reinforcement learning technique would only become useful for sufficient number  ... 
doi:10.1109/twc.2012.030812.111350 fatcat:rl4min77lzhxdhm3eexecfamyu

Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks [article]

Chen Zhong, M. Cenk Gursoy, Senem Velipasalar
2019 arXiv   pre-print
To solve the dynamic control problem of making caching decisions, we propose a deep actor-critic reinforcement learning based multi-agent framework with the aim to minimize the overall average transmission  ...  To evaluate the proposed framework, we compare the learning-based performance with three other caching policies, namely least recently used (LRU), least frequently used (LFU), and first-in-first-out (FIFO  ...  , while in [7] , a decentralized framework for proactive caching is proposed based on blockchains considering a game-theoretic point of view.  ... 
arXiv:1905.05256v1 fatcat:3kjcdh4nqbeyhibp66fswpbjai

Federated Cooperation and Augmentation for Power Allocation in Decentralized Wireless Networks

Mu Yan, Bolun Chen, Gang Feng, Shuang Qin
2020 IEEE Access  
This paper investigates distributed power allocation for edge users in decentralized wireless networks with aim to maximize energy/spectrum efficiency while preventing privacy leakage based on a FL framework  ...  The recent emerging distributed learning methods such as federated learning (FL) perform well in improving resource efficiency while protecting user privacy with low communication overhead.  ...  We propose a federated learning framework based cooperation and augmentation (FL-CA) algorithm for solving the power allocation problem in decentralized networks.  ... 
doi:10.1109/access.2020.2979323 fatcat:u3szfrvxbfd37d6ijrv5fblvem

A non-cooperative game-theoretic approach to channel assignment in multi-channel multi-radio wireless networks

Rohith Dwarakanath Vallam, Arun A. Kanagasabapathy, C. Siva Ram Murthy
2010 Wireless networks  
This work views the problem of channel assignment in multi-channel multi-radio networks with multiple collision domains as a non-cooperative game where the objective of the players is to maximize their  ...  Channel assignment in multi-channel multiradio wireless networks poses a significant challenge due to scarcity of number of channels available in the wireless spectrum.  ...  Arun A. Kanagasabapathy contributed initially to this work when he was pursuing Bachelor of Technology (B.Tech) degree at the Department of CSE, IITM.  ... 
doi:10.1007/s11276-010-0288-5 fatcat:sdtkveyllbcwha4kq22oo5mc3m

Asymmetric Cooperative Communications Based Spectrum Leasing via Auctions in Cognitive Radio Networks

S. K. Jayaweera, M. Bkassiny, K. A. Avery
2011 IEEE Transactions on Wireless Communications  
In the decentralized cognitive network architecture, we formulate an auction game-based protocol in which each SU independently places bids for each primary channel and receivers of each primary link pick  ...  A simple and robust distributed reinforcement learning mechanism is developed to allow the users to revise their bids and to increase their rewards.  ...  The Dynamic Spectrum Leasing is shown to be implementable in a game theoretic framework in which both primary and SU's are considered as the players, in contrast with DSA in which only SU's are assumed  ... 
doi:10.1109/twc.2011.061311.102044 fatcat:ncytzm5sx5czvjmus2vhmgqxdy

Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game [article]

Vandana Mittal, Setareh Maghsudi, Ekram Hossain
2020 arXiv   pre-print
We study the resource sharing problem in a drone-based wireless network. We consider a distributed control setting under uncertainty (i.e. unavailability of full information).  ...  We cast the aforementioned problem as a Bayesian cooperative game in which the agents (drones) engage in a coalition formation process, where the goal is to maximize the overall transmission rate of the  ...  A few papers use coalition formation game with uncertainty to solve the resource allocation problem in wireless networks.  ... 
arXiv:2009.00685v1 fatcat:y7qswtsip5e3xhu4ltzpfjnwgq

Non-cooperative power control for wireless ad hoc networks with repeated games

Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, Xinping Guan
2007 IEEE Journal on Selected Areas in Communications  
With the theory of stochastic fictitious play (SFP), we propose a reinforcement learning algorithm to schedule each user's power level. There are three distinctive features in our proposed scheme.  ...  One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decisions independently.  ...  Hence, it is appropriate to address power control of cellular networks within a non-cooperative game-theoretic framework [3] , [23] , [25] , [30] , [38] .  ... 
doi:10.1109/jsac.2007.070805 fatcat:4iyqjrj4rvey3aieyfsjl3fb7y

Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks

Shahaboddin Shamshirband, Ahmed Patel, Nor Badrul Anuar, Miss Laiha Mat Kiah, Ajith Abraham
2014 Engineering applications of artificial intelligence  
In the current paper, a game theoretic method is introduced, namely cooperative Game-based Fuzzy Q-learning (G-FQL).  ...  G-FQL adopts a combination of both the game theoretic approach and the fuzzy Q-learning algorithm in WSNs.  ...  The multilayer reinforcement learning framework assisted by the Hidden Markov Model (HMM) was proposed to solve real-time detection in a complex state space (Andersen et al., 2009) .  ... 
doi:10.1016/j.engappai.2014.02.001 fatcat:rmptixo7hnbinjsouowowhjpri

Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN

Peng Yang, Liao Chen, Hong Zhang, Jing Yang, Ruyan Wang, Zhidu Li
2020 Sensors  
More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load.  ...  Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN).  ...  Early works always optimize optical and wireless resources in a single timescale framework.  ... 
doi:10.3390/s21010217 pmid:33396367 pmcid:PMC7794835 fatcat:ev7s6ohemfc7lbwzg3agpvi2ym

Communication and Computation Cooperation in Wireless Network for Mobile Edge Computing

Yang Li, Gaochao Xu, Jiaqi Ge, Xiaodong Fu, Peng Liu
2019 IEEE Access  
The solution of proposed algorithm is close to the optimal solution and can be generated in a shorter time.  ...  To further minimize the energy consumption and satisfy the delay constraints of SWDs, SMD cooperation is introduced and we jointly optimize two-tier computation and communication resources in this system  ...  In [30] , the authors proposed a D2D cooperation scenario to optimize network reliability. Most of papers on device cooperation have only studied between SMDs.  ... 
doi:10.1109/access.2019.2933037 fatcat:o6lbac6rxzg55bh3eqmoquhgci

A cooperative DDoS attack detection scheme based on entropy and ensemble learning in SDN

Shanshan Yu, Jicheng Zhang, Ju Liu, Xiaoqing Zhang, Yafeng Li, Tianfeng Xu
2021 EURASIP Journal on Wireless Communications and Networking  
AbstractIn order to solve the problem of distributed denial of service (DDoS) attack detection in software-defined network, we proposed a cooperative DDoS attack detection scheme based on entropy and ensemble  ...  In this framework, the idle computing capability of edge switches is fully utilized with the design idea of edge computing to offload part of the detection task from the control plane to the data plane  ...  In summary, the proposed cooperative detection framework can effectively cope with DDoS attacks.  ... 
doi:10.1186/s13638-021-01957-9 fatcat:haom6g3g4nb3zpdpcxzxnqqhfq

Security and cooperation in wireless networks: thwarting malicious and selfish behavior in the age of ubiquitous computing

2008 ChoiceReviews  
These are the reasons we mention "cooperation" in the title of this book; wherever appropriate, we will make use of game theory in order to formalize the problems.  ...  We believe this textbook to be the first of its kind regarding the treatment of security and cooperation in wireless networks.  ...  research carried out by Maxim Raya, Imad Aad, and Alaeddine El Fawal; Maxim again, along with Panos Papadimitratos, whose research in the security of vehicular networks proved to be very useful in several  ... 
doi:10.5860/choice.46-1524 fatcat:3bkyxjix2vcabcn3f45pqd4vn4

Joint Sensing, Communication, and Computation Resource Allocation for Cooperative Perception in Fog-Based Vehicular Networks [article]

Xinran Zhang, Zhimin He, Yaohua Sun, Shuo Yuan, Mugen Peng
2021 arXiv   pre-print
In this paper, we investigate how to balance the volume of shared messages and constrained resources in fog-based vehicular networks.  ...  However, considering the high volume of shared messages, limited bandwidth and computation resources in vehicular networks become bottlenecks.  ...  Then, the vehicular association, resource allocation, and block message selection are jointly optimized with deep reinforcement learning (DRL) to maximize the satisfaction of cooperative perception.  ... 
arXiv:2112.06224v1 fatcat:6o6pfhov5bg6rgr43obcjwpiwi

A Game-Theoretic Approach for Exploiting Multiuser Diversity in Cooperative Slotted Aloha

Dandan Wang, Cristina Comaniciu, Hlaing Minn, Naofal Al-Dhahir
2008 IEEE Transactions on Wireless Communications  
Multiuser diversity gains can be achieved by assigning channels to users with better channel quality in multiuser systems.  ...  The network enforces fairness among different users by employing a pricing policy that favors equal access probabilities.  ...  Our results prove the viability of a distributed MAC implementation in wireless networks and determine the required policy to enforce cooperation and fairness in such networks in order to optimize the  ... 
doi:10.1109/t-wc.2008.070464 fatcat:n3pzxzpeuffepj23kxoxq4wa3q

Smart and Cooperative Sensor Networks

Hongke Zhang, Sy-Yen Kuo, Sajal K. Das, Mikael Gidlund
2014 International Journal of Distributed Sensor Networks  
In the paper "Application of wireless sensor networks for indoor temperature regulation," B. R. Stojkoska et al. propose a framework for indoor temperature regulation and  ...  Totally, 14 papers are selected from numerous submissions with various aspects in smart and cooperative sensor networks research.  ...  The paper "Game theoretic request scheduling with queue priority in video sensor networks" by J.  ... 
doi:10.1155/2014/789352 fatcat:qizqvcrfyfeqlf5jyaljyx5kye
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