Per-Stream MSE Based Linear Transceiver Design for MIMO Interference Channels With CSI Error PROJECT TITLE :Per-Stream MSE Based Linear Transceiver Design for MIMO Interference Channels With CSI ErrorABSTRACT:This paper studies the linear transceiver style for multi-stream multiple-input-multiple-output (MIMO) interference channels with imperfect channel state info (CSI). Two CSI error models are thought-about. The identical coding and modulation scheme is assumed for all users and knowledge streams. In the primary model, where the CSI error is statistical, we have a tendency to minimize the average most per-stream mean sq. error (MSE). Within the second model, where the CSI error is norm bounded, the worst-case maximum per-stream MSE is optimized. Since the issues don't seem to be jointly convex, the alternate optimization approach is adopted to get suboptimal transceivers. For the statistical CSI error, a low-complexity algorithm utilizing Lagrangian duality is proposed, that encompasses a semi-closed form solution and will be implemented distributively. Compared with the classical algorithm using the second-order-cone programming, the proposed algorithm significantly reduces the computational complexity while not sacrificing the performance. For the bounded CSI error, we tend to gift 2 approaches. One uses S-procedure to get constant problem and the opposite one solves an approximated problem. Simulation results demonstrate the robustness of the proposed algorithms and their improved performance over the add-MSE and the most per-user MSE based strategies. The lower complexity of the Lagrangian duality based mostly algorithm is also verified numerically. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Nonlinear relaxational polarization in aluminum oxide