Overlapping coalitional games for collaborative sensing in cognitive radio networks (original) (raw)
Related papers
International Journal of Communication Networks and Information Security (IJCNIS), 2021
Cooperative spectrum sensing improves the sensing performance of secondary users by exploiting spatial diversity in cognitive radio networks. However, the cooperation of secondary users introduces some overhead also that may degrade the overall performance of cooperative spectrum sensing. The trade-off between cooperation gain and overhead plays a vital role in modeling cooperative spectrum sensing. This paper considers overhead in terms of reporting energy and reporting time. We propose a cooperative spectrum sensing based coalitional game model where the utility of the game is formulated as a function of throughput gain and overhead. To achieve a rational average throughput of secondary users, the overhead incurred is to be optimized. This work emphasizes on optimization of the overhead incurred. In cooperative spectrum sensing, the large number of cooperating users improve the detection performance, on the contrary, it increases overhead too. So, to limit the maximum coalition ...
Modeling Cooperative Communications using Game Theory: Applications for Cognitive Radios
In this paper, cooperative communications are presented to improve efficiency toward the use of telecommunication systems resources. In the special case of cognitive radio networks, main benefits and costs regarding cooperation are analyzed, as well as security issues that might rise in such a scenario. From a game theory model, the implementation of a coalitional game is described, where cognitive users pursue individual benefits as well as benefits for the coalition they belong. Simulation results confirm the gains achievable by means of cooperative communications, and reveal weakening performance in presence of security threats. This paper may help readers to have a more comprehensive understanding of cooperative communications based on game theory, as well as the main research trends and challenges in this area.
2014
Cognitive radio (CR) technology is a solution to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, equipped with the intrinsic capabilities of the cognitive radio, will provide an ultimate spectrum aware communication paradigm in wireless communications. In cognitive radio ad hoc networks (CRAHN’s), the relay selection with user cooperation could be advantageous to both primary and secondary transmissions. This paper deals with both cooperative and non cooperative relay node games. In cooperative games, players collaborate with each other to jointly maximize the total utility of the game. In non-cooperative game, each player selfishly maximizes its own stationary utility function to reach the best response Nash equilibrium strategies. The Non co operation of Relay nodes can be converted into co operative nodes based on Markov Pro...
Design of Cooperative Spectrum Sensing based spectrum access in CR networks using game theory
Cognitive Radio (CR) is a promising technology that attempts to solve the inefficient spectrum utilization problem. The most crucial task in cognitive radio is spectrum sensing and access because inaccurate sensing and inappropriate spectrum access by Secondary User (SU) would result in interference to Primary User (PU) typically in overlay CR network. Cooperative techniques which provide better spectrum sensing and access opportunities are employed in Cooperative Cognitive Radio Network (CCRN). Game theory helps in understanding and modeling interactions among users by making use of utility function. Cooperative Spectrum Sensing (CSS) is modeled as hedonic coalition formation game where coalition corresponds to SUs sensing the same channel. CCRN guarantees benefit for both PU and SU by making use of relaying technique. In this work, cooperation between PU and SU is considered. PU chooses a SU to act as relay for its communication with Base Station (BS). For the selection of relay, SU which satisfy distance criteria and probability of detection are selected. PU uses Amplify and Forward (AF) relaying technique and obtains improved transmission rate. As transmission with the help of SU proved advantageous for PU, it in turn rewards access time duration for SU. SU which acted as relay gains more access time and PU could transmit its data in lesser time than its allocated time when relaying techniques are used. Simulation results show that the cooperative spectrum sensing based spectrum access provides better utility than conventional techniques. Moreover, SU is rewarded greater time duration as spectrum access time than the traditional methods.