Frame-Channel Polarization for Improved Reliability in Mobile Video Wireless Transmission

In this paper, we propose a Frame-Channel Polarization (FCP) technique to enhance wireless transmission reliability for low-latency mobile video in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) systems. We begin by analyzing the reliability of video frame transmission, quantified by the Transmission Success Probability (TSP), and derive closed-form TSP expressions under Maximum Ratio Combining (MRC) for a single subcarrier. We also summarize the corresponding TSP formulation for Zero-Forcing (ZF). To extend the analysis to multiple subcarriers, we introduce a dynamic programming approach that computes the TSP for multiple subcarriers based on the single-subcarrier results, thereby reducing computational complexity from exponential to polynomial. Using TSP as a reliability metric, the FCP method dynamically prioritizes subcarrier allocation, assigning more resources to high-priority video frames while allocating fewer subcarriers to lower-priority frames. As a result, the reliability of frame channels becomes polarized, with the degree of polarization directly linked to the reliability requirements of each frame. Experimental results validate the accuracy of the derived TSP expressions for both single and multiple subcarriers and demonstrate that the FCP method significantly improves transmission reliability compared to existing methods, achieving improvements in reliability for low-latency video transmission.

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Publication Details

Journal
IEEE Transactions on Broadcasting
Published
2025-04-02
DOI
https://doi.org/10.1109/tbc.2025.3549991
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Frame-Channel Polarization for Improved Reliability in Mobile Video Wireless Transmission

Jiaxi Zhou, Zhaoyang Wang, Ting Bi, Yangyang Liu et al.
IEEE Transactions on Broadcasting
Advanced Wireless Network Optimization
article

Frame-Channel Polarization for Improved Reliability in Mobile Video Wireless Transmission

Jiaxi Zhou, Zhaoyang Wang, Ting Bi, Yangyang Liu, Tao Jiang, Guanghua Liu
article en

Abstract

In this paper, we propose a Frame-Channel Polarization (FCP) technique to enhance wireless transmission reliability for low-latency mobile video in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) systems. We begin by analyzing the reliability of video frame transmission, quantified by the Transmission Success Probability (TSP), and derive closed-form TSP expressions under Maximum Ratio Combining (MRC) for a single subcarrier. We also summarize the corresponding TSP formulation for Zero-Forcing (ZF). To extend the analysis to multiple subcarriers, we introduce a dynamic programming approach that computes the TSP for multiple subcarriers based on the single-subcarrier results, thereby reducing computational complexity from exponential to polynomial. Using TSP as a reliability metric, the FCP method dynamically prioritizes subcarrier allocation, assigning more resources to high-priority video frames while allocating fewer subcarriers to lower-priority frames. As a result, the reliability of frame channels becomes polarized, with the degree of polarization directly linked to the reliability requirements of each frame. Experimental results validate the accuracy of the derived TSP expressions for both single and multiple subcarriers and demonstrate that the FCP method significantly improves transmission reliability compared to existing methods, achieving improvements in reliability for low-latency video transmission.

IEEE Transactions on BroadcastingVol. 71(2)
Huazhong University of Science and Technology (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 95%
Advanced Wireless Network Optimization
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Frame-Channel Polarization for Improved Reliability in Mobile Video Wireless Transmission — Jiaxi Zhou, Zhaoyang Wang, et al. · IEEE Transactions on Broadcasting (2025) | TGRS Research Map | TGRS