Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new methodology to estimate the probability of successful transmissions for random access scheduling in wireless networks, in particular those using Carrier Sense Multiple Access (CSMA). Instead of focusing on spatial configurations of users,  model the interference beten users as a random graph. Using configuration models for random graphs,  show how the properties of the medium access mechanism are captured by some deterministic differential equations when the size of the graph gets large. Performance indicators such as the probability of connection of a given node can then be efficiently computed from these equations.  also perform simulations to illustrate the results on different types of random graphs. Even on spatial structures, these estimates get very accurate as soon as the variance of the interference is not negligible.
['Paola Bermolen', 'Matthieu Jonckheere', 'Federico Larroca', 'Pascal Moyal']
I am writing a research paper on a idea Estimating the Transmission Probability in Wireless Networks with Configuration Models
[{"from": "human", "value": "I am writing a research paper on a idea Estimating the Transmission Probability in Wireless Networks with Configuration Models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new methodology to estimate the probability of successful transmissions for random access scheduling in wireless networks, in particular those using Carrier Sense Multiple Access (CSMA). Instead of focusing on spatial configurations of users,  model the interference beten users as a random graph. Using configuration models for random graphs,  show how the properties of the medium access mechanism are captured by some deterministic differential equations when the size of the graph gets large. Performance indicators such as the probability of connection of a given node can then be efficiently computed from these equations.  also perform simulations to illustrate the results on different types of random graphs. Even on spatial structures, these estimates get very accurate as soon as the variance of the interference is not negligible."}]