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Design and Implementation of Baseband Processing Algorithms in Massive MIMO Systems

Mirfarshbafan, Hadi | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50965 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Shabany, Mahdi
  7. Abstract:
  8. Massive MIMO is a key enabling technology in the fifth generation (5G) wireless communication systems. In this technology, the base station is equipped with a large number of antennas (e.g. 100-200) and communicates with a relatively smaller number of user terminals. The large number of antennas at the base station, on one hand, has enabled unprecedented improvements in data rate and energy-efficiency, while on the other hand has posed challenges on the practical deployment of this technology.One of these challenges, is the high computational complexity of the baseband processing algorithms, such as precoding, due to the large number of antennas. In this research, we propose a novel ZF precoding scheme that mitigates the high computational complexity. We also present a high-throughput and low-complexity VLSI architecture for the proposed precoding method, and showcase its efficiacy via FPGA implementation results.In conventional MIMO systems, each antenna is connected to an RF chain containing a pair of high-resolution (e.g. 10-16 bits) ADCs. The use of high-resolution ADCs in the RF chain of each antenna in Massive MIMO systems, would result in prohibitively high power consumption and hardware cost in the base station. One of the key solutions proposed for this issue, is the use of low-resolution ADCs. The main problem with this method, is the performance loss due to the severe signal distortion caused by the coarse quantization. In this research, we propose nonlinear detection algorithms with one-bit ADCs, for both systems with frequency-flat and frequency-selective channels. We show that the proposed algorithms significantly outperform the linear detection schemes. Finally, we present efficient VLSI architecures for the proposed algorithms, in order to demonstrate their feasibility
  9. Keywords:
  10. Massive Multiple-Input Multiple-Output Systems ; Very Large Scale Integration (VLSI)Circuits ; Orthogonal Frequency Division Multiplexing (OFDM) ; Analog to Digital Converter ; Zero-Forcing (ZF) Precoding ; One-Bit Analog-to-Digital Converters (ADCS)

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