Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Achievable rate regions of multiuser fading interference channels depend on their fading realizations. Motivated by this premise  consider the problem of adapting the users' rates to fading variations. Channel-dependent rate adjustments are accomplished after each transition of the fading channel from one state to another. Such rate adjustments (increments or decrements) are constrained to meet some notion of fairness among the users and are designed to ensure that all users remain decodable. Here,  employ the notions of symmetric fair and max-min fair rate adaptations and offer algorithms for computing such fair rate adaptations. Besides fairness, the two other major features of these algorithms are that they are amenable to distributed implementation with limited information exchange among the users, and their complexities scale polynomially in the number of users.
['Ali Tajer', 'Narayan Prasad', 'Xiaodong Wang']
I am writing a research paper on a idea Fair rate adaptation in multiuser interference channels
[{"from": "human", "value": "I am writing a research paper on a idea Fair rate adaptation in multiuser interference channels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Achievable rate regions of multiuser fading interference channels depend on their fading realizations. Motivated by this premise  consider the problem of adapting the users' rates to fading variations. Channel-dependent rate adjustments are accomplished after each transition of the fading channel from one state to another. Such rate adjustments (increments or decrements) are constrained to meet some notion of fairness among the users and are designed to ensure that all users remain decodable. Here,  employ the notions of symmetric fair and max-min fair rate adaptations and offer algorithms for computing such fair rate adaptations. Besides fairness, the two other major features of these algorithms are that they are amenable to distributed implementation with limited information exchange among the users, and their complexities scale polynomially in the number of users."}]