Cross-Layer Allocation Scheme for Multi-View Videos in Massive MIMO Networks

Shi, Yishuo; Kuo, Wen-Hsing; Huang, Chih Wei; Chou, Yen Cheng; Fang, Shih Hau; Yang, De-Nian

doi:10.1109/icc40277.2020.9148824

Cited by 3 publications

(1 citation statement)

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“…The authors proposed a cross-layer resource allocation methodology to leverage video synthesizing schemes. This was devised for efficient multi-view video streaming with MIMO [4]. The authors provided insight into video transmission technologies for Quality of Experience (QoE)-aware salable video coding (SVC) over MIMO in cross-layer wireless systems [6].…”

Section: Introductionmentioning

confidence: 99%

Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

Yang

Kim

2021

IEEE Access

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This paper presents a novel low-power joint decoding system composed of a multiple-input multiple-output (MIMO) detector, low-density parity-check (LDPC) channel decoder, and H.264 source decoder for energyaware and cross-layer source-channel transmission systems. Our aim is to achieve a minimum power design that meets the expected quality of service (QoS) at the application layer. This design includes an iterative MIMO-LDPC decoder for minimizing communication errors and an unequal error protection scheme for reducing energy consumption in transmission. The experiment results reveal that our proposed iterative MIMO-LDPC-H.264 joint decoder achieved up to 66% energy reduction with only 0.09 dB peak signal-tonoise ratio degradation when compared to a non-UEP based joint source-channel decoding system.INDEX TERMS MIMO, LDPC, iterative decoding, unequal error protection, H.264/H.265 data partitioning, joint source-channel decoding, low-power design, error resilience, energy-aware communication system, QoS for video processing

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Section: Introductionmentioning

confidence: 99%