Duration: 35 Hours (5 Days)
Level: Intermediate to Advanced
Course Overview
Wireless digital communication is the backbone of modern telecommunications, enabling high-speed data transfer over long distances with minimal interference. This course provides a comprehensive understanding of wireless digital communications, multi-carrier transmission, and multi-antenna systems.
Participants will learn to analyze and implement digital modulation techniques, including high-order modulation (256-QAM, 1024-QAM) used in 4G, 5G, and Wi-Fi. The course also covers OFDM transceiver design, MIMO (Multiple-Input, Multiple-Output) techniques, and OFDMA for enhanced wireless performance.
Additionally, AI, deep learning, and digital signal processing (DSP) applications in wireless networks will be explored.
Who Should Attend?
Wireless Engineers – Developing and optimizing wireless networks.
Telecommunications Specialists – Enhancing 4G, 5G, and Wi-Fi performance.
RF System Engineers – Implementing multi-antenna systems (MIMO).
Network Engineers – Managing wireless protocols and resource allocation.
DSP & Signal Processing Engineers – Working with wireless modulation and coding.
AI/ML Researchers in Wireless Systems – Exploring AI-driven wireless optimization.
Why Choose This Course?
Covers wireless modulation, OFDM, MIMO, error control, and AI-driven wireless systems.
Hands-on training with MATLAB, Python, GNU Radio, and SDR hardware.
Learn 5G, AI-driven spectrum sensing, and future trends in wireless.
Learning Outcomes
By the end of this course, participants will:
Choose the best modulation and coding scheme for various wireless applications.
Analyze error performance of different digital modulation techniques.
Design receiver architectures for optimized wireless communication.
Understand broadband wireless system components and their interactions.
Develop and optimize OFDM transceiver structures for efficient data transmission.
Implement MIMO and OFDMA to enhance wireless performance.
Apply AI and deep learning for wireless system optimization and channel estimation.
Pre-requisites
Basic knowledge of wireless communications and networking.
Familiarity with digital signal processing (DSP) concepts.
Lab Setup
Development Tools:
MATLAB, Python (NumPy, SciPy), GNU Radio, Wireshark
Hardware Requirements:
Software-defined radios (SDRs) – USRP, RTL-SDR, BladeRF
Testing & Debugging:
Open-source simulation tools for OFDM & MIMO (e.g., LTE-Sim, 5G-LENA)
MATLAB scripts for channel modeling, OFDM signal generation, and error performance analysis
