PROJECT TITLE :

Advanced Quantizer Designs for FDD-Based FD-MIMO Systems Using Uniform Planar Arrays - 2018

ABSTRACT:

Massive multiple-input multiple-output (MIMO) systems, that utilize a large number of antennas at the base station, are expected to enhance network throughput by enabling improved multiuser MIMO techniques. To deploy several antennas in reasonable form factors, base stations are expected to employ antenna arrays in both horizontal and vertical dimensions, that is known as full-dimensional (FD) MIMO. The most standard two-dimensional array is that the uniform planar array (UPA), where antennas are placed in an exceedingly grid pattern. To use the total benefit of large MIMO in frequency division duplexing, the downlink channel state information (CSI) ought to be estimated, quantized, and fed back from the receiver to the transmitter. But, it is tough to accurately quantize the channel in a very computationally efficient manner because of the high dimensionality of the massive MIMO channel. In this Project, we develop both slender-band and wideband CSI quantizers for FD-MIMO taking the properties of realistic channels and the UPA into thought. To boost quantization quality, we have a tendency to concentrate on not only quantizing dominant radio methods within the channel, but conjointly combining the quantized beams. We have a tendency to additionally develop a hierarchical beam search approach, which scans each vertical and horizontal domains jointly with moderate computational complexity. Numerical simulations verify that the performance of the proposed quantizers is healthier than that of previous CSI quantization techniques.


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