Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate secrecy capacity of a cognitive radio network based on stochastic geometry distributions.  consider the Poisson process of both the secondary users and the eavesdroppers, and analyze how the stochastic interference from the secondary users can influence the secrecy capacity of the primary users. First,  describe a network model with primary users, secondary users and eavesdroppers in a cognitive radio communication network environment, and obtain the expression of secrecy capacity in an additive white Gaussian noise channel. Then,  study the outage probability of secrecy capacity of a primary node from a secure communication graph point of view. Furthermore,  present numerical results of the cumulative distribution function (c.d.f.) of the secrecy capacity beten a primary transmitter and a primary receiver. Our analysis brings the insights on secure communications in terms of spatially Poisson distributions of primary users, secondary users and eavesdroppers.
['Zhihui Shu', 'Yaoqing Lamar Yang', 'Yi Qian', 'Rose Qingyang Hu']
I am writing a research paper on a idea Impact of Interference on Secrecy Capacity in a Cognitive Radio Network
[{"from": "human", "value": "I am writing a research paper on a idea Impact of Interference on Secrecy Capacity in a Cognitive Radio Network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate secrecy capacity of a cognitive radio network based on stochastic geometry distributions.  consider the Poisson process of both the secondary users and the eavesdroppers, and analyze how the stochastic interference from the secondary users can influence the secrecy capacity of the primary users. First,  describe a network model with primary users, secondary users and eavesdroppers in a cognitive radio communication network environment, and obtain the expression of secrecy capacity in an additive white Gaussian noise channel. Then,  study the outage probability of secrecy capacity of a primary node from a secure communication graph point of view. Furthermore,  present numerical results of the cumulative distribution function (c.d.f.) of the secrecy capacity beten a primary transmitter and a primary receiver. Our analysis brings the insights on secure communications in terms of spatially Poisson distributions of primary users, secondary users and eavesdroppers."}]