Improving Signal Reception In 4g Network Using Channel Equalizer

Abstract

The efficiency of signal reception in 4G networks is critical for ensuring reliable and high-quality communication. However, challenges such as signal fading, multipath interference, and noise significantly impact network performance. This research explores the potential of channel equalizers to improve signal reception in 4G networks. Channel equalizers mitigate distortions introduced by the communication channel by adapting to changing channel conditions and restoring the transmitted signal to its original form.  This study analyzes the effectiveness of equalization techniques such as linear equalizers, decision feedback equalizers, and adaptive equalizers in combating issues like inter-symbol interference (ISI) and multipath fading. Using MATLAB-based simulations and real-world signal analysis, the performance of various equalization algorithms is evaluated in terms of metrics such as bit error rate (BER), signal-to-noise ratio (SNR), and throughput.  Results demonstrate that the implementation of adaptive equalizers, particularly those using least mean squares (LMS) or recursive least squares (RLS) algorithms, significantly enhances the robustness of 4G signal reception in diverse network conditions. This research concludes by recommending the integration of advanced channel equalizers into 4G network infrastructures to optimize performance and pave the way for smoother transitions to next-generation technologies like 5G.