Diversity-Multiplexing Tradeoff of Symmetric MIMO Interference Channels with Partial CSIT
ABSTRACT In this paper, we propose a transmission scheme for the two-user symmetric multiple antenna interference channel (IFC) and show that the proposed transmission scheme can achieve the optimal diversity-multiplexing tradeoff (DMT) of the channel. The proposed transmission scheme requires only limited channel state information at the transmitter (CSIT) and is suitable for practical implementation. The limited CSIT is obtained by letting the destinations quantize the required information and feed back to the sources. Rules for implementing the quantization are proposed and the number of bits needed to represent the quantization is calculated. It is shown that for the proposed transmission scheme to be DMT optimal, the number of feedback bits should increase in log scale with respect to signal-to-noise ratio.
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ABSTRACT: Today's society demands fast and reliable wireless communication, and the wireless spectrum grows more and more crowded as a consequence of more spectrally efficient transmission schemes can relieve the pressure on the bandwidth resources. In this proposed system, we propose a new framework for generating the correlated MIMO Nakagami Multipath Fading (NMF) channels which possess arbitrary and different m for each sub channel. An advantage of the Nakagami over the Rayleigh and Rice model is the relatively an expression for the Probability Density Function (PDF) and received CSNR (channel signal-to-noise ratio). The diversity is produced by the depolarization of the transmitted signal by reflection, diffraction, and scattering in the channel of NMF. In this proposed work, Maximal Ratio combining (MRC) diversity is used to producing an output with an acceptable SNR and best statistical reducing of multipath fading effect. The result of this proposed system, NMF and MRC diversity methods are combined to, a novel simple and high efficient generation method is developed to scrutinize an excellent accuracy in wireless media, for simulating processes in Matlab.Recent Trends In Information Technology (ICRTIT), 2012 International Conference on; 01/2012