CEC371 Massive MIMO Networks Syllabus:
CEC371 Massive MIMO Networks Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
● To gain knowledge about massive MIMO networks.
● To understand the massive MIMO propagation channels.
● To learn about channel estimation in single cell and multicell massive MIMO systems.
● To comprehend the concepts of massive MIMO deployment in the context of single cell and multicell deployment.
UNIT I MASSIVE MIMO NETWORKS
Definition of Massive MIMO, Correlated Rayleigh Fading, System Model for Uplink and Downlink, Basic Impact of Spatial Channel Correlation, Channel Hardening and Favourable Propagation, Local Scattering Spatial Correlation Model
UNIT II THE MASSIVE MIMO PROPAGATION CHANNEL
Favorable Propagation and Deterministic Channels-Capacity Upper Bound-Distance from Favorable Propagation-Favorable Propagation and Linear Processing-Singular Values and Favorable Propagation, Favorable Propagation and Random Channels-Independent Rayleigh FadingUniformly Random Line-of-Sight (UR-LoS)-Independent Rayleigh Fading versus UR-LoS – FiniteDimensional Channels
UNIT III SINGLE-CELL SYSTEMS
Uplink Pilots and Channel Estimation – Orthogonal Pilots- De-Spreading of the Received Pilot Signal MMSE Channel Estimation, Uplink Data Transmission – Zero-Forcing -Maximum-Ratio, Downlink Data Transmission-Linear Precoding-Zero-Forcing-Maximum-Ratio, Discussion-Interpretation of the Effective SINR Expressions-Implications for Power Control-Scaling Laws and Upper Bounds on the SINR – Near-Optimality of Linear Processing when M >> K – Net Spectral Efficiency – Limiting Factors: Number of Antennas and Mobility
UNIT IV MULTI-CELL SYSTEMS
Uplink Pilots and Channel Estimation, Uplink Data Transmission – Zero-Forcing -Maximum-Ratio, Downlink Data Transmission -Zero-Forcing – Maximum-Ratio, Discussion -Asymptotic Limits with Infinite Numbers of Base Station Antennas – The Effects of Pilot Contamination – Non-Synchronous Pilot Interference
UNIT V CASE STUDIES
Single-Cell Deployment Example: Fixed Broadband Access in Rural Area, Multi-Cell Deployment: Preliminaries and Algorithms, Multi-Cell Deployment Examples: Mobile Access – Dense Urban Scenario – Suburban Scenario – Minimum Per-Terminal Throughput Performance -Additional Observations – Comparison of Power Control Policies
30 PERIODS
PRACTICAL EXERCISES: 30 PERIODS
Implementation of (Using Matlab)
1. Massive MIMO hybrid beamforming
2. Single cell massive MIMO downlink communications
3. Multicell massive MIMO downlink communications.
4. Precoding in massive MIMO single cell and multicell downlink communications
5. Channel estimation in massive MIMO system
COURSE OUTCOMES:
CO1: Understand and explain massive MIMO networks.
CO2: Analyze massive MIMO propagation channels and their capacity bounds
CO3: Examine channel estimation techniques for single cell system.
CO4: Analyze channel estimation techniques for multi cell system.
CO5: Explain the concepts underlining the deployment of single and multicell massive MIMO systems.
TOTAL:60 PERIODS
TEXT BOOKS
1. Thomas L. Marzetta, Erik G. Larsson, Hong Yang, Hien Quoc Ngo, “Fundamentals of Massive MIMO”, Cambridge University Press 2016. (UNITS II-V)
2. Emil Björnson, Jakob Hoydis and Luca Sanguinetti (2017), “Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency”, Foundations and Trends, Now, 2017. (UNIT I)
REFERENCES
1. Long Zhao, Hui Zhao, Kan Zheng, “Wei Xiang Massive MIMO in 5G Networks: Selected Applications”, Springer 2018.
2. Leibo Liu, Guiqiang Peng, Shaojun Wei, “Massive MIMO Detection Algorithm and VLSI Architecture”, Springer 2019.
3. Shahid Mumtaz, Jonathan Rodriguez, Linglong Dai, “mmWave Massive MIMO A Paradigm for 5G”, Elsevier, 2017