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Cluster-Based Polarized Spectrum Sharing in Channels with Polarization Mode Dispersion
Dongming Li,Zhimin Zeng,Caili Guo,Xiaolin Lin 한국전자통신연구원 2014 ETRI Journal Vol.36 No.3
Polarized spectrum sharing (PSS) exploits the spectrumopportunities in a polarized domain. However, when it comesto wideband environments PSS is impaired by the frequencydependentpolarization mode dispersion (PMD); thus, theeffective throughput of PSS drops. To combat the PMD effect,this work proposes a cluster-based PSS approach to enablePSS on a narrower frequency span. Simulation results showthat the effective throughput of PSS on cluster basisoutperforms that of PSS on bandwidth and subcarrier basis.
Phase Noise Self-Cancellation Scheme Based on Orthogonal Polarization for OFDM System
( Yao Nie ),( Chunyan Feng ),( Fangfang Liu ),( Caili Guo ),( Wen Zhao ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
In orthogonal frequency-division multiplexing (OFDM) systems, phase noise introduced by the local oscillators can cause bit error rate (BER) performance degradation. To solve the phase noise problem, a novel orthogonal-polarization-based phase noise self-cancellation (OP-PNSC) scheme is proposed. First, the efficiency of canceling the phase noise of the OP-PNSC scheme in the AWGN channel is investigated. Then, the OP-PNSC scheme in the polarization-dependent loss (PDL) channel is investigated due to power imbalance caused by PDL, and a PDL pre-compensated OP-PNSC (PPC -OP-PNSC) scheme is proposed to mitigate the power imbalance caused by PDL. In addition, the performance of the PPC-OP-PNSC scheme is investigated, where the signal-to-interference-plus-noise ratio (SINR) and spectral efficiency (SE) performances are analyzed. Finally, a comparison between the OP-PNSC and polarization diversity scheme is discussed. The numerical results show that the BER and SINR performances of the OP-PNSC scheme outperform the case with the phase noise compensation and phase noise self-cancellation scheme.
Content-driven Joint Allocation of Communication and Computing Resources in Vehicular Networks
Xu Zhu,Fangfang Liu,Zhimin Zeng,Caili Guo,Jiujiu Chen 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
With the rapid growth of computer vision applications, a large amount of video data in the Internet of Vehicles scenario are used for content analysis. Tasks based on video content understanding are usually accompanied by huge amount of calculation, which put great pressure on traditional wireless communication resource and Mobile Edge Computing (MEC) server computing resource. Furthermore, existing resource allocation schemes based on Quality of Service (QoS) or Quality of Experience (QoE) may not be the best choice for the purpose of video content understanding. In this paper, we propose a joint resource allocation scheme based on Quality of Content (QoC) to maximize the accuracy of video content understanding. Due to the real-time nature of resource allocation and the variability of the environment in autonomous driving scenarios, we design a Multi-agent Distributed Q-Learning algorithm to solve such multi-constrained nonlinear programming problems. Finally, the simulation results show that our proposed QoC-based joint resource allocation scheme has better video content understanding performance.