Phase Noise Performance of MIMO—GFDM Systems for Millimeter Wave 5G Technology

Millimeter waves are a type of high-frequency electromagnetic waves that lie in the frequency scope of 30 GHz to 300 GHz. This huge bandwidth of millimeter waves, which enables the rapid transmission of enormous volumes of data, is one of their key advantages. Moreover, millimeter waves are better suited for outdoor communication where line-of-sight is accessible because they can pass through structures like buildings and trees less effectively than lower-frequency waves. To increase spectrum efficiency and handle numerous devices, 5G communication systems use the multiple access technology known as GFDM (Generalized Frequency Division Multiplexing). This chapter focuses on investigating the phase noise performance of MIMO-GFDM systems in millimeter wave 5G networks. It addresses the challenges posed by conventional channel estimations and interference caused by non-orthogonal subcarrier waveforms. To address these challenges, the proposed complex training sequence decomposition (CTSD) algorithm is introduced as an effective approach for channel estimation in MIMO-GFDM systems. The evaluation of bit error rate (BER) and symbol error in the presence of phase noise and noise further contributes to understanding system performance. However, it is important to acknowledge the limitations of ICI self-cancellation techniques in fading channels and the complexities associated with receiver design in GFDM systems. These aspects should be considered when analyzing the overall system performance. Overall, this research sheds light on the impact of phase noise and presents relevant solutions for synchronization and channel estimation in GFDM-based 5G wireless communications. The study's findings contribute to the understanding of phase noise effects and their implications for MIMO-GFDM systems, thus enhancing the development of efficient communication systems for millimeter wave 5G networks.