Task Allocation in Clusters of Cognitive Nodes: a Remuneration-aided Approach

In this work, we propose a remuneration-aided Game theoretical solution for task allocation in cognitive radio (CR) enabled Internet of things (IoT) scenarios, where cognitive nodes (CNs) in close proximity and with similar sensing capabilities are clustered around a cluster head (CH). We consider a framework in which task allocation in the system is driven by CNs with spectrum sensing capabilities. In the proposed approach, the CH assigns a remuneration to CNs for their contribution in spectrum sensing prior to initiating the task allocation procedure. Such remunerations can be used by CNs in proposing the bids to win the task in the Game. Hence a non-cooperative Game approach modelled as an auction process is proposed. We show that the proposed framework is able to exploit cognitive behaviour efficiently in conditions suitable for cognitive radios (low spectrum occupancy), and under the same conditions the overall system utility increases by 29% w.r.t the case when licensed users (LUs) occupy the band 70% of the time. Additionally, the framework allows the system to reap benefits of energy efficiency while experimenting cognitivity

A modified energy detection based dynamic spectrum sharing technique and its real time implementation on wireless platform for cognitive radio networks

Cognitive radio offers a flexible and efficient utilization of radio frequency resources by dynamic spectrum sharing as required in next gen (5G) architecture of wireless communication. The channel allocation time, probability of false alarm detection and spectral efficiency are the major performance parameters to characterize a spectrum sharing technique. This paper presents modified energy detection based dynamic channel allocation technique based on sensing the power spectral density of idle spectrum bands i.e. spectrum hole. Receiver operating characteristics (ROC) curves have been used to analyze the detector performance of sensing with respect to probability false alarm at different values of SNR. Allocation of unoccupied bands to the SUs has been done by coalition based cooperative game, which provides SUs with an incentive to cooperate. Based on their worth, SUs get payoffs which have been computed using Shapely values as a one-point solution. Vickrey–Clarke–Groves (VCG) auction mechanism has been used to allocate the spectrum resources fairly to each user. On the basis of allocation time, the present model for dynamic spectrum access appears to be more efficient as compared to the conventional opportunistic spectrum access model

A modified energy detection based dynamic spectrum sharing technique and its real time implementation on wireless platform for cognitive radio networks

1043-1052Cognitive radio offers a flexible and efficient utilization of radio frequency resources by dynamic spectrum sharing as required in next gen (5G) architecture of wireless communication. The channel allocation time, probability of false alarm detection and spectral efficiency are the major performance parameters to characterize a spectrum sharing technique. This paper presents modified energy detection based dynamic channel allocation technique based on sensing the power spectral density of idle spectrum bands i.e. spectrum hole. Receiver operating characteristics (ROC) curves have been used to analyze the detector performance of sensing with respect to probability false alarm at different values of SNR. Allocation of unoccupied bands to the SUs has been done by coalition based cooperative game, which provides SUs with an incentive to cooperate. Based on their worth, SUs get payoffs which have been computed using Shapely values as a one-point solution. Vickrey–Clarke–Groves (VCG) auction mechanism has been used to allocate the spectrum resources fairly to each user. On the basis of allocation time, the present model for dynamic spectrum access appears to be more efficient as compared to the conventional opportunistic spectrum access model

Cognitive Spectrum Management in TV White Space: Libya as a Case Study

The traditional spectrum allocation scheme is based on static allotment of frequency bands to applications and entities in specific geographical areas for extended periods of time. Telecommunications regulations, on the national and international levels, are established to protect these primary users from any interference and guarantee exclusive access to allocated spectrum. Such exclusive access model results in very low spectrum utilization while new applications are prevented from accessing the spectrum thus creating a spectrum scarcity problem. Dynamic Spectrum Access (DSA) aims to solve this problem by allowing secondary users to opportunistically access the spectrum through Cognitive Radios (CRs) that can sense the spectrum and avoid interfering with the primary holders of the spectrum access rights. Regulatory bodies around the world are taking rapid steps towards realizing DSA and setting the rules for shared spectrum access. TV White Space (TVWS) is the prime contender for spectrum sharing with standards now being developed allowing dynamic spectrum access of the unused TV spectrum for secondary applications through centralized Geo-location database. The Geo-location database framework is aimed at ensuring coexistence of secondary users with primary TV broadcasters and protecting the TV broadcasters and other incumbents like wireless microphone systems from harmful interference secondary users may cause. However, a comprehensive model for spectrum sharing that incorporates regulatory, application, and economical requirements into the spectrum management process and addresses secondary-to-secondary users' coexistence in conjunction with primary-to-secondary users' coexistence is yet to be proposed. This work addresses this need by presenting a combined design and implementation of a Cognitive Spectrum Management System (CSMS) incorporating a Cognitive Framework for spectrum management in TV White Space. The system ensures both primary-to-secondary and secondary-to-secondary users' coexistence via a Geo-location Database System and a Spectrum Manager that allocates spectrum to competing secondary users while maximizing total spectrum allocation. A system implementation is conducted for the case of Libya were TV broadcasting stations' information is collected from regulatory sources and TVWS availability is estimated for parts of the country