Radio frequency receiver of long-term evolution system design by MATLAB Simulink

Abstract

For wireless broadband communication long-term evolution (LTE) is a standard for also mobile devices and data terminals, by using different radio interface together with core network improvements LTE increases the capacity and speed of mobile network. In this paper radio frequency receiver of radio-frequency long-term evolution (RF-LTE) is design and simulated using MATLAB Simulink, where the design based on illustrating parameters of each stage in LTE RF receiver from generating LTE waveform to error vector magnitude (EVM) measurements, where simulation results with 8 MHz bandwidth the transmitted signal power -3200 dBm, the received signal power (-140 to -160) dBm, while the demodulated signal reaches to -60 dBm difference between main loop and side loop witch lead to high confident recovered signal, also complementary cumulative distribution function (CCDF) measurements applied on output signals so that computes the power of complementary for cumulative distribution CCDF function from signal in time domain. Where CCDF curve shows value of time that a signal stand still above the level of average power for the measured signal or the probability of signal power will be above the level of average power.

Nonlinear Amplifier Effect on High Bit Rate Modulation Techniques Used in WiFi Generation with MATLAB Simulink

“…High bit rate modulation is an essential aspect of nextgeneration WiFi and plays a crucial role in achieving high data rates and increased network capacity. High-bit rate modulation uses advanced modulation schemes, such as 4096-QAM, to increase the number of bits sent over a particular frequency band [1,2].…”

HaLow Wi-Fi performance in multiusers and channels environment with MATLAB Simulink

“…The accuracy of the initial channel estimation process is critical in enabling high data rates, particularly in networks that use high-order modulation schemes such as 256-QAM or 1024-QAM. High-order modulation schemes enable higher data rates but require more accurate channel estimation to ensure the data symbols are correctly received [25], [26].…”