Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the application of the protocol interference model, in place of the more complex physical interference model, in order to evaluate transmission success/outage in wireless networks. Under the protocol model a transmission is successful if and only if there are no interferers within a specified guard zone around the receiver.  first recognize that the protocol model, parameterized by a guard zone radius, forms a family of decision rules for estimating the physical model feasibility of a typical transmission.  proceed to cast the problem using a binary hypothesis testing framework. For wireless Poisson networks,  employ stochastic geometry to determine the prior and posterior distributions associated with the estimation problem.  then develop expressions for false rejection (Type I) and false acceptance (Type II) rates associated with the protocol model, and investigate the optimal guard zone minimizing the total probability of error associated with the protocol model.
['Jeffrey Wildman', 'Steven Weber']
I am writing a research paper on a idea Minimizing the Bayes risk of the protocol interference model in wireless Poisson networks
[{"from": "human", "value": "I am writing a research paper on a idea Minimizing the Bayes risk of the protocol interference model in wireless Poisson networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the application of the protocol interference model, in place of the more complex physical interference model, in order to evaluate transmission success/outage in wireless networks. Under the protocol model a transmission is successful if and only if there are no interferers within a specified guard zone around the receiver.  first recognize that the protocol model, parameterized by a guard zone radius, forms a family of decision rules for estimating the physical model feasibility of a typical transmission.  proceed to cast the problem using a binary hypothesis testing framework. For wireless Poisson networks,  employ stochastic geometry to determine the prior and posterior distributions associated with the estimation problem.  then develop expressions for false rejection (Type I) and false acceptance (Type II) rates associated with the protocol model, and investigate the optimal guard zone minimizing the total probability of error associated with the protocol model."}]