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6G networks are expected to provide more diverse capabilities than theirpredecessors and are likely to support applications beyond current mobileapplications, such as virtual and augmented reality (VR/AR), AI, and theInternet of Things (IoT). In contrast to typical multiple-input multiple-output(MIMO) systems, THz MIMO precoding cannot be conducted totally at basebandusing digital precoders due to the restricted number of signal mixers andanalog-to-digital converters that can be supported due to their cost and powerconsumption. In this thesis, we analyzed the performance of multiuser massiveMIMO-OFDM THz wireless systems with hybrid beamforming. Carrier frequencyoffset (CFO) is one of the most well-known disturbances for OFDM. Forpracticality, we accounted for CFO, which results in Intercarrier Interference.Incorporating the combined impact of molecular absorption, high sparsity, andmulti-path fading, we analyzed a three-dimensional wideband THz channel and thecarrier frequency offset in multi-carrier systems. With this model, we firstpresented a two-stage wideband hybrid beamforming technique comprisingRiemannian manifolds optimization for analog beamforming and then azero-forcing (ZF) approach for digital beamforming. We adjusted the objectivefunction to reduce complexity, and instead of maximizing the bit rate, wedetermined parameters by minimizing interference. Numerical results demonstratethe significance of considering ICI for practical implementation for the THzsystem. We demonstrated how our change in problem formulation minimizes latencywithout compromising results. We also evaluated spectral efficiency by varyingthe number of RF chains and antennas. The spectral efficiency grows as thenumber of RF chains and antennas increases, but the spectral efficiency ofantennas declines when the number of users increases.

Performance Analysis of 6G Multiuser Massive MIMO-OFDM THz Wireless Systems with Hybrid Beamforming under Intercarrier Interference