Abstract:

ABSTRACT Massive MIMO technology has emerged as a revolutionary solution for achieving significantly higher data rates in modern cellular networks. By employing a large number of transmitter antennas at the base station, massive MIMO can deliver ten to twenty times higher area throughput compared to conventional systems. One of the most critical performance parameters in these systems is spectral efficiency, which directly influences the achievable data rate. This paper focuses on analyzing the uplink spectral efficiency of massive MIMO systems by exploring the effects of varying system parameters, including the pilot reuse factor, number of users, and coherence block length. The study also evaluates the performance of different linear receiving techniques, such as Matched Filtering (MF), Zero Forcing (ZF), and Minimum Mean Square Error (MMSE) detectors. Simulation results provide valuable insights into optimizing system parameters to maximize spectral efficiency in 5G wireless networks.

Description:

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