Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on the competitively optimal por control and signal shaping for "ad hoc" networks composed by multiple-antenna noncooperative transmit/receive terminals affected by spatially colored multiple-access interference (MAI). The target is the competitive maximization of the information throughput sustained by each link that is active over the network. For this purpose, the MAI-impaired network is modeled as a noncooperative strategic game, and sufficient conditions for the existence and uniqueness of the Nash equilibrium (NE) are provided. Furthermore, iterative por-control and signal-shaping algorithms are presented to efficiently achieve the NE under both best-effort and "contracted QoS" policies. The presented algorithms also account for the effect of (possibly) imperfect channel estimates available at the transmit/receive units active over the network, they are fully scalable, and they may be implemented in a fully distributed and asynchronous way. The presented numerical results support the conclusion that the proposed distributed algorithms may be able to outperform the conventional centralized orthogonal MAC strategies (as time division multiple access, frequency division multiple access, and code division multiple access) in terms of a sustained network throughput, especially in operating scenarios affected by a strong MAI
['Enzo Baccarelli', 'Mauro Biagi', 'Cristian Pelizzoni']
I am writing a research paper on a idea A Distributed Power-Allocation and Signal-Shaping Game for the Competitively Optimal Throughput-Maximization of Multiple-Antenna “ ad hoc ” Networks
[{"from": "human", "value": "I am writing a research paper on a idea A Distributed Power-Allocation and Signal-Shaping Game for the Competitively Optimal Throughput-Maximization of Multiple-Antenna \u201c ad hoc \u201d Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on the competitively optimal por control and signal shaping for \"ad hoc\" networks composed by multiple-antenna noncooperative transmit/receive terminals affected by spatially colored multiple-access interference (MAI). The target is the competitive maximization of the information throughput sustained by each link that is active over the network. For this purpose, the MAI-impaired network is modeled as a noncooperative strategic game, and sufficient conditions for the existence and uniqueness of the Nash equilibrium (NE) are provided. Furthermore, iterative por-control and signal-shaping algorithms are presented to efficiently achieve the NE under both best-effort and \"contracted QoS\" policies. The presented algorithms also account for the effect of (possibly) imperfect channel estimates available at the transmit/receive units active over the network, they are fully scalable, and they may be implemented in a fully distributed and asynchronous way. The presented numerical results support the conclusion that the proposed distributed algorithms may be able to outperform the conventional centralized orthogonal MAC strategies (as time division multiple access, frequency division multiple access, and code division multiple access) in terms of a sustained network throughput, especially in operating scenarios affected by a strong MAI"}]