Lectures related to Mobile Networks: MAC Protocols

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

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

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

Demonstrates the calculation of entropy for a specific example, resulting in an entropy value of 2.69.

Explores CFO estimation, residual CFO correction, phase tracking, and wireless data rates in OFDM systems.

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.

Covers probability, statistics, independence, covariance, correlation, and random variables.

Covers the modes of convergence of random variables and the Central Limit Theorem, discussing implications and approximations.

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

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

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

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.

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