Centralized spectrum leasing via cooperative SU assignment in cognitive radio networks

2018 ◽  
Vol 31 (13) ◽  
pp. e3726
Author(s):  
Hou Deng ◽  
Liusheng Huang ◽  
Chenkai Yang ◽  
Hongli Xu
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Spectrum Leasing

Game Theoretic Study of Cooperative Spectrum Leasing in Cognitive Radio Networks

2014 ◽  
Vol 5 (2) ◽  
pp. 61-74 ◽  
Author(s):  
Fatemeh Afghah ◽  
Abolfazl Razi
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Stackelberg Game ◽  
Cooperative Behavior ◽  
Search Space ◽  
Radio Networks ◽  
Cooperative Relaying ◽  
Stackelberg Games ◽  
Secondary Users ◽  
Spectrum Leasing

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.

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

Sensors ◽  
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.

Spectrum leasing based on Nash Bargaining Solution in cognitive radio networks

2013 ◽  
Vol 57 (4) ◽  
pp. 313-325 ◽  
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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