PROJECT TITLE :
Weighted Sum-Rate Maximization for Full-Duplex MIMO Interference Channels
We have a tendency to think about a link multiple-input multiple-output (MIMO) interference channel, where each link consists of two full-duplex (FD) nodes exchanging data simultaneously during a bi-directional communication fashion. The nodes in each combine suffer from self-interference due to operating in FD mode, and inter-user interference from different links because of simultaneous transmission at every link. We have a tendency to consider the transmit and receive filter design for weighted sum-rate (WSR) maximization downside subject to total-power constraint of the system or individual power constraints at every node of the system. Primarily based on the connection between WSR and weighted minimum-mean-squared-error (WMMSE) problems for FD MIMO interference channels, we propose a low complexity alternating algorithm which converges to a local WSR optimum purpose. Moreover, we show that the proposed algorithm is not only applicable to FD MIMO interference channels, but also applicable to FD cellular systems in that a base station (BS) operating in FD mode serves multiple uplink (UL) and downlink (DL) users operating in 0.5-duplex (HD) mode, simultaneously. It is shown in simulations that the sum-rate achieved by FD mode is on top of the sum-rate achieved by baseline HD schemes.
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