Topics
Topics for HIT Program on 5G Multi-User and Massive MIMO
25th to 27th September, 2020
- Introduction and Key Specs of 5G Technologies
- 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
- MU-MIMO Precoding Zero Forcing
- Block Diagonalization and Successive optimization for MU-MIMO
- 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
- MATLAB Project on Massive MIMO System Implementation with Perfect CSI
- MATLAB Project on 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)
- MATLAB Project on Space Shift Keying (SSK), Optimal ML Receiver Design, Bit-Error Rate Performance
Topics for HIT Program on 5G Broadband mmWave MIMO-OFDM
2nd to 4th October, 2020
- Introduction and Key Specs of 5G Technologies
- Opportunities and Challenges in mmWave MIMO Communication
- Channel Models for mmWave MIMO Systems
- Beamspace domain representation
- Hybrid Signal Processing for mmWave MIMO
- Digital Beamforming
- Analog Beamforming
- Hybrid RF/ BB Precoder and Combiner Design for mmWave MIMO
- Hybrid Transceiver Architectures for mmWave MIMO
- Sparse Signal Processing
- Channel Estimation for mmWave MIMO
- Optimal Design of Beams and Sensing Matrix for Channel Estimation
- Overview of Sub 6GHz Multiple Antenna, MIMO Technologies
- Signal Processing for MIMO Systems
- Optimal Power Allocation and Precoding for MIMO
- Single Carrier Broadband mmWave MIMO
- Broadband mmWave MIMO-OFDM
- Channel modelling and estimation for mmWave MIMO OFDM
- Transceiver design for mmWave MIMO OFDM
- MATLAB Project on mmWave MIMO Systems: mmWave MIMO Channel Modeling
- MATLAB Project on 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
- MATLAB Project on Baseband Precoder/ Combiner Design for mmWave MIMO Systems, Comparison with Ideal Digital Baseband Precoder/ Combiner
Topics for HIT Program on 5G Cooperative and NOMA Communication
9th to 11th October, 2020
- Introduction and Key Specs of 5G Technologies
- 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
- Probability of outage analysis
- Ordered NOMA Protocol and Performance Analysis, Comparison with Fixed NOMA
- Optimal Power Allocation for NOMA Systems
- Fading Channels, Bit-Error Rate (BER) Analysis
- Multiple Antenna Systems, Diversity concept
- Multiple-Input Multiple-Output (MIMO) Technology, MIMO Receivers
- Multi-user MIMO, Beamforming, Precoding
- Cooperative Communication, Optimal Combining
- BER Analysis and Diversity of Cooperative Communication
- Optimal Power Allocation with Cooperation
- Cooperative Communication, Optimal Combining
- BER Analysis and Diversity of Cooperative Communication
- Selective DF, Fixed DF and AF protocols
- Optimal Power Allocation with Cooperation
- Cooperative MIMO communication, Multi-Node Cooperation
- MATLAB Project on Non-Orthogonal Multiple Access (NOMA) Systems
- MATLAB Project on Fixed NOMA Protocol-UL and DL Outage Probability Performance
- MATLAB Project on Optimal Power Allocation, Ordered NOMA Protocol – Performance Analysis
- MATLAB Project on Cooperative Communication, MIMO Cooperation