Lectures related to Mobile Networks: MAC Protocols

Explores OFDM basics, channel estimation, and frequency offset correction, along with MAC protocols and CDMA applications.

Covers the RAKE receiver, CDMA performance in multipath channels, SINR impact, and CDMA uplink.

Explores the MAC protocol in control networks, addressing packet collisions and different MAC protocols' operation and efficiency.

Covers the implementation of IS-95 forward-link and MIMO extension.

Explores networked control systems, covering delays, collisions, MAC protocols, and network architectures.

Explores wireless MAC protocols like CSMA and Aloha, discussing their operation, challenges, and solutions to improve efficiency.

Covers the basics of control networks, linear matrix inequalities, and networked control systems.

Covers the IS-95 CDMA standard implementation with MIMO simulation and project guidelines.

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Discusses wireless communication technologies, focusing on OFDMA, WiFi standards, and the evolution to 5G networks.

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Explores the construction of signals in space for satellite positioning systems, including navigation data, channel coding, and spreading modulation.

Introduces signal acquisition, GMWM for sensor calibration, and the importance of accurate parameter matching.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Covers the basics of probability theory, random variables, joint probability, and inference.

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.

Discusses conditional entropy and its role in data compression techniques.