The recent developments in the field of wireless communication and signal processing have been marked by significant advancements in modulation techniques, error correction, and power optimization strategies. A notable trend is the focus on enhancing the efficiency and performance of Orthogonal Time Frequency Space (OTFS) and Orthogonal Frequency Division Multiplexing (OFDM) systems, particularly in reducing peak-to-average power ratio (PAPR) and optimizing power amplifier (PA) performance. Innovations in decoding algorithms for convolutional and turbo codes have also been prominent, with efforts directed towards achieving near-optimal performance with reduced computational complexity. These advancements are crucial for the development of next-generation wireless systems, including 5G and IoT applications, where energy efficiency and signal quality are paramount.
Noteworthy Papers
- A Novel Precoder for Peak-to-Average Power Ratio Reduction in OTFS Systems: Introduces a low-complexity iterative method for PAPR reduction in OTFS systems, achieving a significant reduction without compromising error rate performance.
- Detecting Convolutional Codes: A Markovian Approach with LRT and DNN: Presents a novel approach to convolutional code detection using a Markov chain interpretation and deep neural networks, offering optimal performance with computational efficiency.
- Power Amplifier-Aware Transmit Power Optimization for OFDM and SC-FDMA Systems: Proposes a method for optimizing transmit power in OFDM and SC-FDMA systems by modeling nonlinear PA influence, enhancing signal quality at the receiver.
- Two Step SOVA-Based Decoding Algorithm for Tailbiting Codes: Develops a novel two-step decoding algorithm for tailbiting convolutional codes, demonstrating performance close to maximum-likelihood decoding.
- Performance Analysis of Turbo Decoding Algorithms in Wireless OFDM Systems: Conducts a comprehensive analysis of turbo decoding algorithms in OFDM systems, highlighting the trade-offs between performance and complexity for cost-efficient terminals.
