Auction-Based Spectrum Leasing for Secure Information Transfer in Cognitive Radio Networks

In this paper, a novel property-right spectrum leasing solution based on Stackelberg game is proposed for Cognitive Radio Networks (CRN), where part of the secondary users present probabilistic dishonest behavior. In this model, the Primary User (PU) as the spectrum owner allows the Secondary User (SU) to access the shared spectrum for a fraction of time in exchange for providing cooperative relaying service by the SU. A reputation based mechanism is proposed that enables the PU to monitor the cooperative behavior of the SUs and restrict its search space at each time slot to the secondary users that do not present dishonest behavior in the proceeding time slots. The proposed reputation-based solution outperforms the classical Stackelberg games from both primary and reliable secondary users' perspectives. This novel method of filtering out unreliable users increases the PU's expected utility over consecutive time slots and also encourages the SUs to follow the game rule.

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Primary Privacy Preserving With Joint Wireless Power and Information Transfer for Cognitive Radio Networks

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2019.2952885 ◽

2020 ◽

Vol 6 (2) ◽

pp. 683-693 ◽

Cited By ~ 3

Author(s):

Dawei Wang ◽

Fuhui Zhou ◽

Victor C. M. Leung

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Information Transfer ◽

Privacy Preserving ◽

Radio Networks ◽

Wireless Power

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Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

Sensors ◽

10.3390/s20133800 ◽

2020 ◽

Vol 20 (13) ◽

pp. 3800

Author(s):

Xiang Xiao ◽

Fanzi Zeng ◽

Zhenzhen Hu ◽

Lei Jiao

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Dynamic Spectrum Access ◽

Blocking Probability ◽

Network Capacity ◽

Radio Networks ◽

Forced Termination ◽

Spectrum Utilization ◽

Dynamic Flow ◽

Spectrum Leasing

Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU flows. Furthermore, in the leased spectrum band, the SU flows with access priority employ dynamic spectrum access of channel aggregation, which enables one flow to occupy multiple channels for transmission in a dynamically changing environment. For performance evaluation, the continuous time Markov chain (CTMC) is developed to model our proposed strategy and conduct theoretical analyses. Numerical results demonstrate that the proposed strategy effectively improves the spectrum utilization and network capacity, while significantly reducing the forced termination probability and blocking probability of SU flows.

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Spectrum leasing based on Nash Bargaining Solution in cognitive radio networks

Telecommunication Systems ◽

10.1007/s11235-013-9860-5 ◽

2013 ◽

Vol 57 (4) ◽

pp. 313-325 ◽

Cited By ~ 6

Author(s):

Xinping Guan ◽

Xiaocheng Wang ◽

Kai Ma ◽

Zhixin Liu ◽

Qiaoni Han

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Nash Bargaining Solution ◽

Radio Networks ◽

Nash Bargaining ◽

Bargaining Solution ◽

Spectrum Leasing

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