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Related Experiment Video

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Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

Precoding method interference management for quasi-EVD channel.

Wei Duan¹, Wei Song², Sang Seob Song¹

¹Division of Electronic and Information Engineering, Chonbuk National University, Chonju 561-756, Republic of Korea.

Thescientificworldjournal

|September 27, 2014

Summary

This study introduces Cholesky decomposition-block diagonalization interference alignment (CD-BD IA) for multiuser MIMO relay systems. The novel approach enhances achievable sum-of-rate and minimizes bit error rate performance in high SNR regions.

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Area of Science:

Wireless communication systems
Signal processing
Information theory

Background:

Multiuser MIMO relay systems face interference challenges.
Existing interference alignment techniques can be computationally complex.

Purpose of the Study:

To propose a novel CD-BD IA algorithm for MU-MIMO relay systems.
To reduce computational complexity while optimizing system performance.

Main Methods:

Employing Cholesky decomposition (CD) and block diagonalization (BD) for interference alignment.
Utilizing singular value decomposition (SVD) for precoder design and mean square error (MSE) detection.
Restructuring the channel using relaying functions and quasi-eigenvalue decomposition (quasi-EVD).

Main Results:

The proposed CD-BD IA algorithm significantly reduces computational complexity.
Two-step precoding matrix design maximizes sum-of-rate (SR) with minimum mean square error (MMSE) detection.
Optimized bit error rate (BER) performance by aligning row spaces of effective channel matrices.

Conclusions:

The CD-BD IA algorithm effectively maximizes achievable sum-of-rate (ASR) and minimizes BER at high signal-to-noise ratio (SNR).
This method offers a computationally efficient approach for advanced wireless systems.