Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  consider the problem of maximizing the energy efficiency (EE) for multiple-input–multiple-output (MIMO) interference channels (ICs), subject to the per-link por constraint. To avoid extensive information exchange among all links, the optimization problem is formulated as a noncooperative game, where each link maximizes its own EE.  show that this game always admits a Nash equilibrium (NE) and the sufficient condition for the uniqueness of the NE is derived for the case of large enough maximum transmit por constraint. To reach the NE of this game,  develop a totally distributed EE algorithm, in which each link updates its own transmit covariance matrix in a completely distributed and asynchronous way. Some players may update their solutions more frequently than others or even use the outdated interference information. The sufficient conditions that guarantee the global convergence of the proposed algorithm to the NE of the game have been given as ll.  also study the impact of the circuit por consumption on the sum EE performance of the proposed algorithm in the case when the links are separated sufficiently far away. Moreover, the tradeoff beten the sum EE and the sum spectral efficiency (SE) is investigated with the proposed algorithm under two special cases: 1) low transmit por constraint regime; and 2) high transmit por constraint regime. Finally, extensive simulations are conducted to evaluate the impact of various system parameters on the system performance.
['Cunhua Pan', 'Wei Xu', 'Jiangzhou Wang', 'Hong Ren', 'Wence Zhang', 'Nuo Huang', 'Ming Chen']
I am writing a research paper on a idea Totally distributed energy-efficient transmission design in MIMO interference channels
[{"from": "human", "value": "I am writing a research paper on a idea Totally distributed energy-efficient transmission design in MIMO 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: ,  consider the problem of maximizing the energy efficiency (EE) for multiple-input\u2013multiple-output (MIMO) interference channels (ICs), subject to the per-link por constraint. To avoid extensive information exchange among all links, the optimization problem is formulated as a noncooperative game, where each link maximizes its own EE.  show that this game always admits a Nash equilibrium (NE) and the sufficient condition for the uniqueness of the NE is derived for the case of large enough maximum transmit por constraint. To reach the NE of this game,  develop a totally distributed EE algorithm, in which each link updates its own transmit covariance matrix in a completely distributed and asynchronous way. Some players may update their solutions more frequently than others or even use the outdated interference information. The sufficient conditions that guarantee the global convergence of the proposed algorithm to the NE of the game have been given as ll.  also study the impact of the circuit por consumption on the sum EE performance of the proposed algorithm in the case when the links are separated sufficiently far away. Moreover, the tradeoff beten the sum EE and the sum spectral efficiency (SE) is investigated with the proposed algorithm under two special cases: 1) low transmit por constraint regime; and 2) high transmit por constraint regime. Finally, extensive simulations are conducted to evaluate the impact of various system parameters on the system performance."}]