Jamming Resilient Cross-Layer Resource Allocation in Uplink HARQ-Based SIMO OFDMA Video Transmission Systems
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TLDR
The hybrid automatic repeat request (HARQ) in layer 2 and a single-input multiple-output (SIMO) anti-jamming technique in layer 1 are introduced and a novel resource allocation method crossing layers 1, 2, and 5 by considering the angle between the jammer channel vector and the sender (desired signal) channel vector is proposed.Abstract:
The cross-layer resource assignment algorithm of orthogonal frequency division multiple access (OFDMA) video communication systems by Wang et al. allocates the power and subcarriers according to both the layer 1 channel state information and the layer 5 rate distortion function. We introduce the hybrid automatic repeat request (HARQ) in layer 2 and a single-input multiple-output (SIMO) anti-jamming technique in layer 1, and propose an anti-jamming power/subcarrier assignment scheme crossing layers 1, 2, and 5 for HARQ-based SIMO OFDMA uplink video communication networks. We derive the new optimal condition for anti-jamming cross-layer resource allocation analysis, and thus propose a novel resource allocation method crossing layers 1, 2, and 5 by considering the angle between the jammer channel vector and the sender (desired signal) channel vector. By HARQ, we can increase the target symbol error rate without increasing the rate of the packet error, more bits can be transmitted, and the peak signal-to-noise ratio (PSNR) (the video quality) is improved. The results of the simulations show that the PSNR increases by 11.3 dB when we consider the angle between the jammer channel vector and the sender channel vector in the proposed resource allocation algorithm crossing layers 1, 2, and 5. The PSNR improves further by 1.8–2.6 dB when we add HARQ, when the average SNR = 18 dB and there are 12 users.read more
Citations
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An Adaptive Resource Allocation Model With Anti-Jamming in IoT Network
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Average PSNR Optimized Cross Layer User Grouping and Resource Allocation for Uplink MU-MIMO OFDMA Video Communications
Shu-Ming Tseng,Yung-Fang Chen +1 more
TL;DR: The objective function for optimization to maximize average PSNR is changed, and new optimal condition for cross layer subcarrier assignment for infinitesimal bandwidth increment is derived, which extends to a multi-user multiple-input and multiple-output (MU-MIMO) uplink transmission system to improve information rate and thus video quality.
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Deep-Learning-Aided Cross-Layer Resource Allocation of OFDMA/NOMA Video Communication Systems
TL;DR: A deep neural network and supervised learning is applied to an OFDMA subcarrier assignment and NOMA user grouping problem in downlink video communication systems and the PSNR performance is very close (within 0.2dB) to that but has lower complexity, due to the non-iterative approach used in the testing stage of the DNN.
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Artificial Noise Injection and Its Power Loading Methods for Secure Space-Time Line Coded Systems.
TL;DR: Numerical results verify that the proposed secure STLC systems with the designed AN injection and the power control method can significantly improve the secrecy rate compared to the conventional STLC system.
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Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems
TL;DR: The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB.
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