- Introduction and Key Specs of 5G Technologies
- Opportunities and Challenges in mmWave MIMO Communication
- Channel Models for mmWave MIMO Systems
- Hybrid Signal Processing for mmWave MIMO
- Digital and Analog Beamforming
- Hybrid RF/ BB Precoder and Combiner Design for mmWave MIMO
- Hybrid Transceiver Architectures for mmWave MIMO
- Sparse Signal Processing and Channel Estimation for mmWave MIMO
- Optimal Design of Beams and Sensing Matrix for Channel Estimation
- Overview of Sub 6GHz Multiple Antenna, MIMO and MU-MIMO Technologies
- Signal Processing for MIMO Systems
- Optimal Power Allocation and Precoding for MIMO
- Introduction to 5G Massive MIMO Systems
- Key Features of Massive MIMO and Advantages over Point-to-Point and MU-MIMO
- Signal Processing Operations for Massive MIMO in UL and DL
- Massive MIMO Channel Model– Large/ Small Scale Fading
- Properties of Random Vectors and Massive MIMO Analysis
- Analysis of Spectral Efficiency in Massive MIMO Systems and Power Scaling
- Pilot Design and Channel Estimation in Massive MIMO Systems
- Trasmitter and Receiver Schemes with Imperfect CSI
- Spectral Efficiency Analysis of Massive MIMO with Imperfect CSI
- Power Scaling in Massive MIMO with Imperfect CSI and Comparison with Perfect CSI
- Multi-Cell Massive MIMO Model
- Channel Estimation with Pilot Reuse and Pilot Contamination
- New Modulation Schemes for 5G- Spatial Modulation (SM),
Space Shift Keying (SSK) and Optimal Receiver
- Generalized Spatial Modulation (GSM)
- Spectral Efficiency Comparison of GSM with Conventional V-BLAST
- Introduction to Non-Orthogonal Multiple Access (NOMA) Technology
- Efficiency of NOMA wrt Conventional Orthogonal Multiple Access (OMA)
- Fixed NOMA Protocol for UL/ DL – Performance Analysis
- Ordered NOMA Protocol and Performance Analysis, Comparison with Fixed NOMA
- Optimal Power Allocation for NOMA Systems
- Cooperative Communication, Optimal Combining
- BER Analysis and Diversity of Cooperative Communication
- Optimal Power Allocation with Cooperation
- Cooperative MIMO communication, Multi-Node Cooperation
- Introduction to Cognitive Radio Technology
- Orthogonal Frequency Division Multiplexing (OFDM) for CR
- Spectrum Sensing in Fading Wireless Channels, MIMO systems, OFDM systems
- Cooperative Spectrum Sensing, Eigenvalue based Spectrum Sensing
- Multi-User Transmission in Interweave CR Systems
- MIMO for Underlay CR Systems
- Introduction to 5G New Radio (NR) Standard
- Introduction to 5G NB-IoT Technology
- Overview of LTE- Cat M1 and Cat NB 1 Standards/ Systems
- MATLAB Project on mmWave MIMO Systems: mmWave MIMO Channel Modeling, Beamspace Channel Representation, Sparse Channel Estimation using OMP (Orthogonal Matching Pursuit), Comparison with Conventional Least Squares Estimation
- MATLAB Project on Hybrid Transceiver Design for mmWave MIMO: Optimal RF Precoder/ Combiner Design, Baseband Precoder/ Combiner Design for mmWave MIMO Systems, Comparison with Ideal Digital Baseband Precoder/ Combiner
- MATLAB Project on Massive MIMO System Implementation with Perfect CSI, Channel Estimation for Massive MIMO, Performance for ZF and MF Receivers, Massive MIMO Performance with Imperfect CSI and Power Scaling
- MATLAB Project on New Modulation Techniques for Massive MIMO – Spatial Modulation (SM), Space Shift Keying (SSK), Generalized Spatial Modulation (GSM). Optimal ML Receiver Design, Bit-Error Rate Performance
- MATLAB Project on Non-Orthogonal Multiple Access (NOMA) Systems, Fixed NOMA Protocol-UL and DL Outage Probability Performance, Optimal Power Allocation, Ordered NOMA Protocol – Performance Analysis
- MATLAB Project on Cooperative Communication, MIMO Cooperation. MATLAB Project on Spectrum Sensing for Fading Channels, Spectrum Sensing for MIMO-OFDM Systems