Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study a utility maximization framework for spectrum sharing among unlicensed secondary users and licensed primary users in mobile TV white space networks. All the users maximize the network utility by adapting their signal-to-interference-plus-noise ratio (SINR) assignment and transmit por subject to por budget constraints and additional interference temperature constraints for the secondary users. By exploiting the nonnegative matrix theory,  first reformulate the utility maximization problem as an equivalent optimization problem involving spectral radius constraints and with SINR as its only variable. To proceed further,  studied a special case that maximizes the egalitarian fairness of all the SINRs as the utility (also known as the max-min ighted SINR). Then,  solve the general utility maximization by developing a novel cognitive radio network duality to decouple the SINR assignment, the transmit por and the interference temperature allocation. A projected subgadient method is proposed to joinly optimize the por and the interference temperature. This algorithm has the advantage that it can be distributively implemented, and the method converges relatively fast.
['Liang Zheng', 'Chee Wei Tan']
I am writing a research paper on a idea Smart spectrum access algorithms in mobile TV white space networks for utility maximization
[{"from": "human", "value": "I am writing a research paper on a idea Smart spectrum access algorithms in mobile TV white space networks for utility maximization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study a utility maximization framework for spectrum sharing among unlicensed secondary users and licensed primary users in mobile TV white space networks. All the users maximize the network utility by adapting their signal-to-interference-plus-noise ratio (SINR) assignment and transmit por subject to por budget constraints and additional interference temperature constraints for the secondary users. By exploiting the nonnegative matrix theory,  first reformulate the utility maximization problem as an equivalent optimization problem involving spectral radius constraints and with SINR as its only variable. To proceed further,  studied a special case that maximizes the egalitarian fairness of all the SINRs as the utility (also known as the max-min ighted SINR). Then,  solve the general utility maximization by developing a novel cognitive radio network duality to decouple the SINR assignment, the transmit por and the interference temperature allocation. A projected subgadient method is proposed to joinly optimize the por and the interference temperature. This algorithm has the advantage that it can be distributively implemented, and the method converges relatively fast."}]