PROJECT TITLE :
Totally Distributed Energy-Efficient Transmission in MIMO Interference Channels
During this paper, we have a tendency to think about the problem of maximizing the energy efficiency (EE) for multiple-input–multiple-output (MIMO) interference channels (ICs), subject to the per-link power constraint. To avoid extensive info exchange among all links, the optimization drawback is formulated as a noncooperative game, where each link maximizes its own EE. We have a tendency to show that this game continually admits a Nash equilibrium (NE) and also the sufficient condition for the individuality of the NE comes for the case of large enough maximum transmit power constraint. To succeed in the NE of this game, we tend to develop a very distributed EE algorithm, in that every link updates its own transmit covariance matrix during a fully distributed and asynchronous approach. Some players could update their solutions a lot of frequently than others or perhaps use the outdated interference information. The sufficient conditions that guarantee the global convergence of the proposed algorithm to the NE of the game are given yet. We also study the impact of the circuit power consumption on the add EE performance of the proposed algorithm in the case when the links are separated sufficiently far away. Moreover, the tradeoff between the total EE and the sum spectral efficiency (SE) is investigated with the proposed algorithm under 2 special cases: 1) low transmit power constraint regime; and a couple of) high transmit power constraint regime. Finally, extensive simulations are conducted to guage the impact of various system parameters on the system performance.
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