Multiuser Blind Detection: Kalman Filter, LMS, and RLS Algorithms
Multiuser Blind Detection Techniques: Kalman Filter, Least Mean Squares (LMS), and Recursive Least Squares (RLS) Algorithms with Implementation Insights
MATLAB Simulation for Basic Subcarrier Allocation in Multi-User OFDM Systems
MATLAB simulation program implementing fundamental subcarrier allocation techniques for multi-user Orthogonal Frequency Division Multiplexing (OFDM) systems, featuring resource distribution algorithms and performance analysis
MIMO-MC-CDMA System Uplink: Single-User vs Multi-User Detection Algorithm Comparison
Comparative analysis of different detection algorithms for single-user and multi-user scenarios in MIMO-MC-CDMA system uplink, including implementation approaches and performance evaluation metrics
Simulation of Direct Sequence Spread Spectrum System Using Chaotic Sequences as Pseudo-Code Generators
This program simulates a Direct Sequence Spread Spectrum (DSSS) system using chaotic sequences as pseudo-code generators, with comprehensive multi-user scenario simulations and performance analysis.
Multi-User Precoding for MIMO Downlink Based on Block Diagonalization Channel Inversion
Implementation of multi-user precoding for MIMO downlink systems utilizing block diagonalization channel inversion algorithm with code structure and key function explanations.
Ultra-Wideband Multi-User Detection with Technical Implementation
This resource provides comprehensive insights into ultra-wideband multi-user detection algorithms, featuring practical implementation strategies and signal processing techniques
Research and Implementation of Multi-User MIMO Systems
The relatively recent extension of MIMO systems to multi-user scenarios presents promising benefits for achieving high data rates in future cellular standards envisioned beyond 3G (Third Generation). Although substantial theoretical research has been conducted, recent focus has shifted toward practical implementation of Multi-User Multiple-Input Multiple-Output (MU-MIMO). This paper provides an overview of various MU-MIMO schemes currently incorporated/under investigation in 3GPP standardization from LTE (Long-Term Evolution) to LTE-Advanced. The conceptual and implementation aspects of MU-MIMO systems are explored here, with various low-complexity receiver architectures investigated and evaluated through link-level simulations. Significant emphasis is placed on low-complexity Interference-Aware (IA) receivers, which demonstrate attractive performance improvements.
Multi-User Spread Spectrum Communication: Transmitter and Receiver Implementation
MATLAB implementation of multi-user spread spectrum communication system with ready-to-run transmitter and receiver code requiring no modifications.
Simulation of RAKE Receiver with Code Implementation Details
1. Implementation of three combining techniques with algorithm explanations 2. Simulation scenarios for both single-user and multi-user environments 3. Walsh code utilization for spread spectrum communication with coding examples
MATLAB Channel Model for Simulating Inter-User Interference in Multi-User Environments
A MATLAB channel model designed to simulate inter-user interference in multi-user communication systems, featuring code implementation for interference analysis and system performance evaluation.