Abstract

This study presents a comprehensive analysis of Multiple-Input Multiple-Output (MIMO) systems in Orthogonal Frequency Division Multiplexing (OFDM) with a focus on Polarization Division Multiplexing (PDM), Successive Minimum Mean Square Error (SMMSE) algorithm, and the combined effects of Angle of Departure (AOD) and Angle of Arrival (AOA). The research primarily aims to evaluate and compare the efficacy of these techniques in enhancing channel estimation accuracy and overall system performance. PDM, a technique that exploits the polarization properties of electromagnetic waves, is investigated for its potential to increase channel capacity in MIMO-OFDM systems. Additionally, the study explores the application of the SMMSE algorithm in mitigating channel estimation errors, emphasizing its iterative approach to refining the estimation process. Furthermore, the joint impact of AOD and AOA is analyzed, considering their significance in accurately characterizing the wireless channel, particularly in complex environments. Simulations are conducted to assess the performance of each approach under varying conditions, including signal-to-noise ratios, multipath effects, and different channel models. The results provide valuable insights into the relative advantages and limitations of PDM, SMMSE, and AOD/AOA in MIMO-OFDM systems. This comparative analysis is crucial for the development of more efficient and reliable wireless communication systems, especially in the context of increasing demand for higher data rates and better quality of service in next-generation networks.

Description