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Topics

  1. Introduction and Key Specs of 5G Technologies
  2. Opportunities and Challenges in mmWave MIMO Communication
  3. Channel Models for mmWave MIMO Systems
  4. Hybrid Signal Processing for mmWave MIMO
  5. Digital and Analog Beamforming
  6. Hybrid RF/ BB Precoder and Combiner Design for mmWave MIMO
  7. Hybrid Transceiver Architectures for mmWave MIMO
  8. Sparse Signal Processing and Channel Estimation for mmWave MIMO
  9. Optimal Design of Beams and Sensing Matrix for Channel Estimation
  10. Overview of Sub 6GHz Multiple Antenna, MIMO and MU-MIMO Technologies
  11. Signal Processing for MIMO Systems
  12. Optimal Power Allocation and Precoding for MIMO
  13. Introduction to 5G Massive MIMO Systems
  14. Key Features of Massive MIMO and Advantages over Point-to-Point and MU-MIMO
  15. Signal Processing Operations for Massive MIMO in UL and DL
  16. Massive MIMO Channel Model– Large/ Small Scale Fading
  17. Properties of Random Vectors and Massive MIMO Analysis
  18. Analysis of Spectral Efficiency in Massive MIMO Systems and Power Scaling
  19. Pilot Design and Channel Estimation in Massive MIMO Systems
  20. Trasmitter and Receiver Schemes with Imperfect CSI
  21. Spectral Efficiency Analysis of Massive MIMO with Imperfect CSI
  22. Power Scaling in Massive MIMO with Imperfect CSI and Comparison with Perfect CSI
  23. Multi-Cell Massive MIMO Model
  24. Channel Estimation with Pilot Reuse and Pilot Contamination
  25. New Modulation Schemes for 5G- Spatial Modulation (SM), Space Shift Keying (SSK) and Optimal Receiver
  26. Generalized Spatial Modulation (GSM)
  27. Spectral Efficiency Comparison of GSM with Conventional V-BLAST
  28. Introduction to Non-Orthogonal Multiple Access (NOMA) Technology
  29. Efficiency of NOMA wrt Conventional Orthogonal Multiple Access (OMA)
  30. Fixed NOMA Protocol for UL/ DL – Performance Analysis
  31. Ordered NOMA Protocol and Performance Analysis, Comparison with Fixed NOMA
  32. Optimal Power Allocation for NOMA Systems
  33. Cooperative Communication, Optimal Combining
  34. BER Analysis and Diversity of Cooperative Communication
  35. Optimal Power Allocation with Cooperation
  36. Cooperative MIMO communication, Multi-Node Cooperation
  37. Introduction to Cognitive Radio Technology
  38. Orthogonal Frequency Division Multiplexing (OFDM) for CR
  39. Spectrum Sensing in Fading Wireless Channels, MIMO systems, OFDM systems
  40. Cooperative Spectrum Sensing, Eigenvalue based Spectrum Sensing
  41. Multi-User Transmission in Interweave CR Systems
  42. MIMO for Underlay CR Systems
  43. Introduction to 5G New Radio (NR) Standard
  44. Introduction to 5G NB-IoT Technology
  45. Overview of LTE- Cat M1 and Cat NB 1 Standards/ Systems
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. MATLAB Project on Cooperative Communication, MIMO Cooperation. MATLAB Project on Spectrum Sensing for Fading Channels, Spectrum Sensing for MIMO-OFDM Systems