Low complexity hybrid algorithm for improving PAPR BER and PSD in OTFS under diverse channel conditions
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new method, Vm-PTS+Companding, to significantly reduce Peak-to-Average Power Ratio (PAPR) and improve Bit Error Rate (BER) in Orthogonal Time Frequency Space (OTFS) with Non-Orthogonal Multiple Access (NOMA) systems.
Area Of Science
- Wireless Communications
- Signal Processing
- Information Theory
Background
- Orthogonal Time Frequency Space (OTFS) modulation offers advantages in high-mobility scenarios.
- Non-Orthogonal Multiple Access (NOMA) enhances spectral efficiency by allowing users to share resources.
- High Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER) are critical challenges in OTFS-NOMA systems.
Purpose Of The Study
- To investigate and improve PAPR and BER performance in OTFS-NOMA systems over Rayleigh fading channels.
- To evaluate the effectiveness of various PAPR reduction techniques, including a novel Vandermonde matrix-based Partial Transmit Sequence with Companding (Vm-PTS+Companding).
- To analyze the system's performance under channel estimation errors.
Main Methods
- Simulations were conducted using 256-QAM and 512-QAM on 256 subcarriers.
- Evaluated techniques include Vm-PTS+Companding, Vm-SLM+Companding, conventional PTS, SLM, Companding, and Clipping & Filtering (C&F).
- Performance metrics analyzed include PAPR, BER, Signal-to-Noise Ratio (SNR), and Power Spectral Density (PSD).
Main Results
- The proposed Vm-PTS+Companding achieved up to 9 dB PAPR reduction for 256-QAM and 8.9 dB for 512-QAM.
- The scheme demonstrated significant PAPR gains (2.9-9.9 dB) over conventional methods even with channel estimation errors.
- BER analysis showed SNR improvements of 3.5-13.7 dB in ideal channels and up to 16 dB under error conditions.
- Reduced spectral leakage was confirmed with PSD evaluation.
Conclusions
- Vm-PTS+Companding effectively optimizes PAPR and BER in OTFS-NOMA systems.
- The proposed method enhances system performance, particularly in challenging wireless environments with channel estimation errors.
- This technique supports high data rates in error-prone wireless communication systems.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...