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  4. Limited Feedback in Single and Multi-User MIMO Systems With Finite-Bit ADCs - 2018
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Category: MTech NS2 Projects
By MTech Projects
MTech Projects
28.Nov
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Limited Feedback in Single and Multi-User MIMO Systems With Finite-Bit ADCs - 2018

PROJECT TITLE :

Limited Feedback in Single and Multi-User MIMO Systems With Finite-Bit ADCs - 2018

ABSTRACT:

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state info at the transmitter and receiver. This Project presents codebook styles and performance analyses for restricted feedback MIMO systems with finite-bit ADCs. A purpose-to-point single-user channel is firstly thought-about. When the received signal is sliced by 1-bit ADCs, the absolute phase at the receiver is vital to align the section of the received signals. A new codebook design for beamforming, which separately quantizes the channel direction and therefore the residual phase, is therefore proposed. For the multi-bit case where the optimal transmission technique is unknown, suboptimal Gaussian signaling and eigenvector beamforming is assumed to get a lower sure of the achievable rate. It is found that to limit the speed loss, more feedback bits are required within the medium SNR regime than the high and low SNR regimes, which is kind of completely different from the standard infinite-bit ADC case. Second, a multi-user system where a multiple-antenna transmitter sends signals to multiple single-antenna receivers with finite-bit ADCs is taken into account. Based mostly on the derived performance loss because of finite-bit ADCs and finite-bit CSI feedback, the quantity of bits per feedback ought to increase linearly with the ADC resolution so as to restrict the rate loss.

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Previous article: Joint User Pairing and Power Allocation in Virtual MIMO Systems - 2018 Joint User Pairing and Power Allocation in Virtual MIMO Systems - 2018 Next article: Load Balancing for 5G Ultra-Dense Networks Using Device-to-Device Communications - 2018 Load Balancing for 5G Ultra-Dense Networks Using Device-to-Device Communications - 2018
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