Authors: Yafei Wang, Xinping Yi, Hongwei Hou, Wenjin Wang, Shi Jin

Published on: February 07, 2024

Impact Score: 8.15

Arxiv code: Arxiv:2402.04685

Summary

• What is new: The paper introduces a new approach to symbol-level precoding for MIMO systems that accounts for imperfect channel state information due to channel aging.
• Why this is important: The challenge of maintaining robust MIMO downlink transmission in the presence of imperfect channel state information caused by channel aging.
• What the research proposes: A new symbol-level precoding design that incorporates statistical channel information, including channel mean and variance, and solutions for SINR balancing and MMSE problems.
• Results: Simulation results demonstrate that the proposed precoding schemes outperform existing state-of-the-art symbol-level precoding schemes.

Technical Details

Technological frameworks used: A posteriori channel model, jointly correlated channel model

Models used: SINR balancing, MMSE problem models

Data used: Imperfect CSI with spatial correlation

Potential Impact

Telecommunications companies and mobile network operators could significantly benefit from the improved reliability and efficiency of MIMO transmissions.

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