The Experts below are selected from a list of 329487 Experts worldwide ranked by ideXlab platform
Qian Zhang - One of the best experts on this subject based on the ideXlab platform.
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Side Channel: Bits over Interference
IEEE Transactions on Mobile Computing, 2012Co-Authors: Haoyu Tan, Yunhuai Liu, Jin Zhang, Qian ZhangAbstract:Interference is a critical issue in wireless communications. In a typical multiple-User Environment, different Users may severely interfere with each other. Coordination among Users therefore is an indispensable part for interference management in wireless networks. It is known that coordination among multiple nodes is a costly operation taking a significant amount of valuable communication resource. In this paper, we have an interesting observation that by generating intended patterns, some simultaneous transmissions, i.e., "interference,” can be successfully decoded without degrading the effective throughput in original transmission. As such, an extra and "free” coordination channel can be built. Based on this idea, we propose a DC-MAC to leverage this "free” channel for efficient medium access in a multiple-User wireless network. We theoretically analyze the capacity of this channel under different Environments with various modulation schemes. USRP2-based implementation experiments show that compared with the widely adopted CSMA, DC-MAC can improve the channel utilization efficiency by up to 250 percent.
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side channel bits over interference
ACM IEEE International Conference on Mobile Computing and Networking, 2010Co-Authors: Haoyu Tan, Yunhuai Liu, Jin Zhang, Qian ZhangAbstract:Interference is a critical issue in wireless communications. In a typical multiple-User Environment, different Users may severely interfere with each other. Coordination among Users therefore is an indispensable part for interference management in wireless networks. It is known that, coordination among multiple nodes is a costly operation taking a significant amount of valuable communication resource. In this paper, we have an interesting observation that by generating intended patterns, some simultaneous transmissions, i.e., "interference", can be successfully decoded without degrading the effective throughput in original transmission. As such, an extra and "free" coordination channel can be built. Based on this idea we propose a DC-MAC to leverage this "free" channel for efficient medium access in a multiple-User wireless network. We theoretically analyze the capacity of this channel under different Environments with various modulation schemes. USRP2-based implementation experiments show that compared with the widely adopted CSMA, DC-MAC can improve the channel utilization efficiency by up to 250%.
Luisa Caldas - One of the best experts on this subject based on the ideXlab platform.
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optimization and manipulation of contextual mutual spaces for multi User virtual and augmented reality interaction
IEEE Virtual Reality Conference, 2020Co-Authors: Mohammad Keshavarzi, Allen Y Yang, Luisa CaldasAbstract:Spatial computing experiences are physically constrained by the geometry and semantics of the local User Environment. This limitation is elevated in remote multi-User interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging. Locating a common accessible virtual ground is difficult for the Users themselves, particularly if they are not aware of the spatial properties of other participants. In this paper, we introduce a framework to generate an optimal mutual virtual space for a multi-User interaction setting where remote Users’ room spaces can have different layout and sizes. The framework further recommends movement of surrounding furniture objects that expand the size of the mutual space with minimal physical effort. Finally, we demonstrate the performance of our solution on real-world datasets and also a real HoloLens application. Results show the proposed algorithm can effectively discover optimal shareable space for multi-User virtual interaction and hence facilitate remote spatial computing communication in various collaborative workflows.
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optimization and manipulation of contextual mutual spaces for multi User virtual and augmented reality interaction
arXiv: Human-Computer Interaction, 2019Co-Authors: Mohammad Keshavarzi, Woojin Ko, Allen Y Yang, Luisa CaldasAbstract:Spatial computing experiences are physically constrained by the geometry and semantics of the local User Environment. This limitation is elevated in remote multi-User interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging. Locating a common accessible virtual ground is difficult for the Users themselves, particularly if they are not aware of the spatial properties of other participants. In this paper, we introduce a framework to generate an optimal mutual virtual space for a multi-User interaction setting. The framework further recommends the movement of surrounding furniture objects that expand the size of the mutual space with minimal physical effort. Finally, we demonstrate the performance of our solution on real-world datasets and also a real HoloLens application. Results show the proposed algorithm can effectively discover optimal shareable space for multi-User virtual interaction and hence facilitate remote spatial computing communication in various collaborative workflows.
Haoyu Tan - One of the best experts on this subject based on the ideXlab platform.
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Side Channel: Bits over Interference
IEEE Transactions on Mobile Computing, 2012Co-Authors: Haoyu Tan, Yunhuai Liu, Jin Zhang, Qian ZhangAbstract:Interference is a critical issue in wireless communications. In a typical multiple-User Environment, different Users may severely interfere with each other. Coordination among Users therefore is an indispensable part for interference management in wireless networks. It is known that coordination among multiple nodes is a costly operation taking a significant amount of valuable communication resource. In this paper, we have an interesting observation that by generating intended patterns, some simultaneous transmissions, i.e., "interference,” can be successfully decoded without degrading the effective throughput in original transmission. As such, an extra and "free” coordination channel can be built. Based on this idea, we propose a DC-MAC to leverage this "free” channel for efficient medium access in a multiple-User wireless network. We theoretically analyze the capacity of this channel under different Environments with various modulation schemes. USRP2-based implementation experiments show that compared with the widely adopted CSMA, DC-MAC can improve the channel utilization efficiency by up to 250 percent.
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side channel bits over interference
ACM IEEE International Conference on Mobile Computing and Networking, 2010Co-Authors: Haoyu Tan, Yunhuai Liu, Jin Zhang, Qian ZhangAbstract:Interference is a critical issue in wireless communications. In a typical multiple-User Environment, different Users may severely interfere with each other. Coordination among Users therefore is an indispensable part for interference management in wireless networks. It is known that, coordination among multiple nodes is a costly operation taking a significant amount of valuable communication resource. In this paper, we have an interesting observation that by generating intended patterns, some simultaneous transmissions, i.e., "interference", can be successfully decoded without degrading the effective throughput in original transmission. As such, an extra and "free" coordination channel can be built. Based on this idea we propose a DC-MAC to leverage this "free" channel for efficient medium access in a multiple-User wireless network. We theoretically analyze the capacity of this channel under different Environments with various modulation schemes. USRP2-based implementation experiments show that compared with the widely adopted CSMA, DC-MAC can improve the channel utilization efficiency by up to 250%.
J.m. Cioffi - One of the best experts on this subject based on the ideXlab platform.
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spatial multiUser access ofdm with antenna diversity and power control
Vehicular Technology Conference, 2000Co-Authors: Joonsuk Kim, J.m. CioffiAbstract:The capacity can be dramatically increased by employing multiple antennas. However, in the multiple-User Environment, the system performance is limited by cochannel interference. This paper describes a spatial multiUser access scheme using singular value decomposition (MU-SVD), associated with orthogonal frequency division multiplexing (OFDM) for an intersymbol interference channel. The proposed method can separate the transmission of interest in the space domain, without loss of antenna diversity, thus successfully isolating each source with a spatially distinct signature waveform. Moreover, power control for sub-channels is adopted to enhance the spectral and power efficiency. Simulations show MU-SVD with power allocation achieves a huge gain.
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Spatial multiUser access with antenna diversity using singular value decomposition
2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record, 2000Co-Authors: Joonsuk Kim, J.m. CioffiAbstract:Through the use of the spatial diversity, wireless transmission system capacity can increase dramatically. However, in the multiple-User Environment, the system performance is limited by co-channel interference. Beamforming is typically used to suppress the interference, but it is not always able to process a multipath signal optimally, especially when the paths from each User arrive in an alternating fashion. This paper describes a spatial multi-User detection scheme using singular value decomposition that can outperform beamforming and space-time equalization. This spatial detection scheme is compatible with TDMA, FDMA or CDMA and greatly enhances performance.
Mohammad Keshavarzi - One of the best experts on this subject based on the ideXlab platform.
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optimization and manipulation of contextual mutual spaces for multi User virtual and augmented reality interaction
IEEE Virtual Reality Conference, 2020Co-Authors: Mohammad Keshavarzi, Allen Y Yang, Luisa CaldasAbstract:Spatial computing experiences are physically constrained by the geometry and semantics of the local User Environment. This limitation is elevated in remote multi-User interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging. Locating a common accessible virtual ground is difficult for the Users themselves, particularly if they are not aware of the spatial properties of other participants. In this paper, we introduce a framework to generate an optimal mutual virtual space for a multi-User interaction setting where remote Users’ room spaces can have different layout and sizes. The framework further recommends movement of surrounding furniture objects that expand the size of the mutual space with minimal physical effort. Finally, we demonstrate the performance of our solution on real-world datasets and also a real HoloLens application. Results show the proposed algorithm can effectively discover optimal shareable space for multi-User virtual interaction and hence facilitate remote spatial computing communication in various collaborative workflows.
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optimization and manipulation of contextual mutual spaces for multi User virtual and augmented reality interaction
arXiv: Human-Computer Interaction, 2019Co-Authors: Mohammad Keshavarzi, Woojin Ko, Allen Y Yang, Luisa CaldasAbstract:Spatial computing experiences are physically constrained by the geometry and semantics of the local User Environment. This limitation is elevated in remote multi-User interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging. Locating a common accessible virtual ground is difficult for the Users themselves, particularly if they are not aware of the spatial properties of other participants. In this paper, we introduce a framework to generate an optimal mutual virtual space for a multi-User interaction setting. The framework further recommends the movement of surrounding furniture objects that expand the size of the mutual space with minimal physical effort. Finally, we demonstrate the performance of our solution on real-world datasets and also a real HoloLens application. Results show the proposed algorithm can effectively discover optimal shareable space for multi-User virtual interaction and hence facilitate remote spatial computing communication in various collaborative workflows.
