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RISS 인기검색어
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- 저자 : ( Zhimin Zeng ) (검색결과 3 건)
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Interference Alignment Based Transceiver Design in OSG mode of HetNets
( Qin Niu ),( Zhimin Zeng ),( Tiankui Zhang ),( Zhirui Hu ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.6
This paper focuses on solving co-channel interference (CCI) issues arising in the open subscriber group (OSG) mode of heterogeneous networks (HetNets). Considering a general framework consisting of arbitrary number of picocells within a macro cell, where the inter-user interference (IUI) is the main CCI to macro user equipments (UEs), while the the inter-cell interference (ICI) is the major CCI to pico UEs. In this paper, three IA based transceiver design schemes are proposed. For macro cell, we uniformly use block diagonalization (BD) scheme to eliminate the IUI. And for picocells, three IA schemes are proposed to mitigate the ICI. The first scheme, named as zero forcing IA (ZF-IA) scheme, aligns the inter picocell interference onto an arbitrary sub-space of the cross-tier interference using ZF scheme. Considering the channel state information (CSI) of the desired channel of pico UEs, the second scheme, named as optimal desired sub-channel selected IA (ODC-IA) scheme, aligns the inter picocell interference onto a certain sub-space of the cross-tier interference, which guarantees the largest channel gain of the desired signal of pico UEs. The third IA scheme, named as maximum cross-tier interference selected IA (MI-IA) scheme, is designed for the system with less receive antennas. The inter picocell interference is aligned onto the space of the strongest cross-tier interference and only the interference on this space is nullified. The complexity analysis and simulations show that the proposed transceiver design schemes outperform the existing IA schemes in the OSG mode of HetNets, and the MI-IA scheme reduces the requirement of the receive antennas number with lower complexity.
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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.
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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.
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