MIMO Identical Eigenmode Transmission System (IETS) - A Channel Decomposition Perspective
M. Zeeshan Shakir, and Tariq S. Durrani

TL;DR
This paper introduces a novel MIMO transmission strategy called IETS, utilizing Geometric Mean Decomposition to create identical eigenmodes, enhancing data rate and system performance in flat-fading channels.
Contribution
It presents a new MIMO eigenmode transmission approach using GMD, enabling parallel, identical channels for improved data transmission, and compares it with linear decomposition techniques.
Findings
IETS achieves higher data rates with identical eigenmodes.
The system performs well with V-BLAST decoding across various antenna configurations.
Simulation results validate the effectiveness of the proposed method.
Abstract
In the past few years considerable attention has been given to the design of Multiple-Input Multiple-Output (MIMO) Eigenmode Transmission Systems (EMTS). This paper presents an in-depth analysis of a new MIMO eigenmode transmission strategy. The non-linear decomposition technique called Geometric Mean Decomposition (GMD) is employed for the formation of eigenmodes over MIMO flatfading channel. Exploiting GMD technique, identical, parallel and independent transmission pipes are created for data transmission at higher rate. The system based on such decomposition technique is referred to as MIMO Identical Eigenmode Transmission System (IETS). The comparative analysis of the MIMO transceiver design exploiting nonlinear and linear decomposition techniques for variable constellation is presented in this paper. The new transmission strategy is tested in combination with the Vertical Bell Labs…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
