Report on Dirty Paper Coding Estimation with multidimensional lattices
Pedro Comesa\~na-Alfaro, Fernando P\'erez-Gonz\'alez
TL;DR
This paper analyzes a channel estimation method called DPCE that utilizes high-dimensional lattice codebooks within the framework of Dirty Paper Coding, providing derivations and insights into its performance.
Contribution
It introduces a detailed derivation and analysis of DPCE using multidimensional lattice codebooks, advancing understanding of its application in channel estimation.
Findings
Derivations of DPCE with high-dimensional lattices
Insights into the performance of lattice-based DPCE
Potential improvements in channel estimation accuracy
Abstract
In this report we include some derivations on a channel estimation method based on the use of Dirty Paper Coding. Specifically, we analyze the proposed method, named Dirty Paper-based Channel Estimation (DPCE), when the considered codebooks are high-dimensional lattices.
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Taxonomy
TopicsCellular Automata and Applications · Error Correcting Code Techniques · DNA and Biological Computing