The Experts below are selected from a list of 57735 Experts worldwide ranked by ideXlab platform
Byonghyo Shim - One of the best experts on this subject based on the ideXlab platform.
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Pilot-Less Sparse Vector Coding for Short Packet Transmission
IEEE Wireless Communications Letters, 2019Co-Authors: Hyoungju Ji, Wonjun Kim, Byonghyo ShimAbstract:A short Packet Transmission is one of the major operational modes for mission-critical data in ultra reliable and low latency communications (URLLCs) and control-type data in massive machine-type communications (mMTCs). The central challenge in the short Packet Transmission is the excessive amount of overhead caused by the pilot signaling. In this letter, we propose a novel Transmission scheme that does not require the pilot signaling, called pilot-less sparse vector coding (PL-SVC). Key feature of PL-SVC is to map the input as a composite of the sparse vector and the fading channel and to perform decoding by finding out the nonzero positions of a sparse vector. In this setting, the system matrix becomes a pseudo-random spreading matrix and the input vector becomes a channel-scaled sparse vector so that the PL-SVC decoding problem can be cast into the support detection problem in the compressed sensing. We show from numerical experiments in the 5G uplink scenario that PL-SVC is very effective in the short Packet Transmission and outperforms conventional schemes.
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ITA - Sparse Vector Coding for Ultra Short Packet Transmission
2018 Information Theory and Applications Workshop (ITA), 2018Co-Authors: Sangtae Kim, Byonghyo ShimAbstract:Massive machine type communications (mMTC) and mission-critical MTC are new service categories in 5G to support Internet of Things (IoT). MTC-based services, such as sensing, metering, and monitoring requires small volume of information in most cases. Since the current data Transmission principle requires long codeblock to maximize the coding gain and hence novel Transmission mechanism to support short Packet Transmission is required. In this paper, we propose a new type of data Transmission scheme suitable for the ultra short Packet Transmission, called sparse vector coding (SVC). Key idea behind the proposed technique is to transmit the information after the sparse transformation. By mapping the information into the sparse vector and then transmitting it after the non-orthogonal random spreading, we cast the symbol detection problem into the sparse signal recovery problem in compressed sensing. Through performance analysis and simulations, we show that SVC is very effective in short Packet Transmissions.
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APCC - Sparse Vector Coding for Short Packet Transmission in Massive Machine Type Communications
2018 24th Asia-Pacific Conference on Communications (APCC), 2018Co-Authors: Byonghyo ShimAbstract:Massive machine type communications (mMTC) is a service category in 5G to support Internet of Things (IoT). Typically, mMTC-based services require small volume of information. Since the current data Transmission principle requires long codeblock to maximize the coding gain and hence is not adequate for short Packet Transmission, multiplexing mechanism to support short Packet Transmission in mMTC is required. In this paper, we propose a new type of uplink data Transmission scheme suitable for the mMTC, called sparse vector coding (SVC). Key idea behind the proposed technique is to transmit the information after the sparse transformation. By mapping the information into the sparse vector and then transmitting it after the random non-orthogonal spreading, we cast the symbol detection problem into the sparse signal recovery problem in compressed sensing. We show from the simulations in the LTE uplink scenario and massive access scenario in 5G that the proposed SVC scheme outperforms conventional approaches and is very effective in short Packet Transmissions.
Guang-hong Yang - One of the best experts on this subject based on the ideXlab platform.
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CDC-ECE - Model-based compensation for multi-Packet Transmission in networked control systems
IEEE Conference on Decision and Control and European Control Conference, 2011Co-Authors: Yun-bo Zhao, Guang-hong Yang, Jongrae Kim, Guo-ping LiuAbstract:The sensing data is usually transmitted simultaneously from the sensor to the controller in conventional control systems. However, in networked control systems it is possible that a set of sensing data is transmitted via multiple separate data Packets due to the multiple, geographically dispersed sensors. This scenario, referred to as “multi-Packet Transmission”, brings to the system different delays for different parts of the sensing data. Within the Packet-based control framework for networked control systems, a novel control structure is proposed. The negative effects of multi-Packet Transmission are effectively dealt with by first reconstructing the sensing data at the controller side and then compensating for the communication constraints using the Packet-based control approach. Numerical examples illustrate the effectiveness of the proposed approach.
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state feedback control of continuous time networked control systems in multiple Packet Transmission
Chinese Control and Decision Conference, 2009Co-Authors: Guang-hong YangAbstract:This paper is concerned with state feedback controller design for continuous-time Networked Control Systems (NCSs) in multiple-Packet Transmission. Discrete-time system models are constructed for multiple-Packet Transmission with delay and with Transmission constrains, respectively. Based on these models, corresponding methods to design state feedback controllers are proposed.
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State feedback controller design of networked control systems with multiple-Packet Transmission
International Journal of Control, 2008Co-Authors: Xun-lin Zhu, Guang-hong YangAbstract:This paper studies the stability analysis and state feedback controller design of continuous-time networked control systems (NCSs). A model of NCSs with multiple-Packet Transmission and Packet dropout in both the sensor-to-controller channel and controller-to-actuator channel is given, then a stability condition for NCSs with multiple-Packet Transmission is presented, and a new method for controller design is also proposed by using an LMI-based method. The simulation results illustrate the effectiveness of the controller design for NCSs with multiple-Packet Transmission.
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ACC - Stability analysis and state feedback control of networked control systems with multi-Packet Transmission
2008 American Control Conference, 2008Co-Authors: Xun-lin Zhu, Guang-hong YangAbstract:This paper studies the problems of stability analysis and state feedback controller design for continuous-time networked control systems (NCSs). Model of NCSs with multiple-Packet Transmission and Packet dropout in both the sensor-to-controller channel and controller-to-actuator channel is derived, then the stability condition for NCSs with multiple-Packet Transmission is presented, and a new method for controller design is also proposed by using linear matrix inequality (LMI)- based method. The simulation results illustrate the effectiveness of the proposed controller design for NCSs with multiple-Packet Transmission and Packet dropout.
Mohamedslim Alouini - One of the best experts on this subject based on the ideXlab platform.
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further results on extended delivery time for secondary Packet Transmission
IEEE Transactions on Wireless Communications, 2017Co-Authors: Muneer Usman, Hongchuan Yang, Mohamedslim AlouiniAbstract:Cognitive radio transceiver can opportunistically access the underutilized spectrum resource of primary systems for new wireless services. With interweave cognitive implementation, secondary Transmission may be interrupted by primary Transmission. To facilitate the Packet delay analysis of such secondary Transmission, we study the extended delivery time of secondary Packet Transmission. In particular, we derive the exact distribution function of extended delivery time of a fixed-size secondary Packet with non-work-preserving strategy, where interrupted Packets must be repeated. We also analyze the effect of imperfect periodic sensing, i.e., the secondary user periodically senses the spectrum for availability, with a chance of missing an available channel on a certain sensing attempt. These results complement previous work on work-preserving strategy with perfect sensing. Selected numerical and simulation results are presented for verifying the mathematical formulation.
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extended delivery time analysis for secondary Packet Transmission with adaptive modulation under interweave cognitive implementation
IEEE Transactions on Cognitive Communications and Networking, 2017Co-Authors: Wenjing Wang, Muneer Usman, Hongchuan Yang, Mohamedslim AlouiniAbstract:Cognitive radio communication can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, a secondary user (SU) transmits only if primary user does not occupy the channel and waits for Transmission otherwise. Therefore, secondary Packet Transmission involves both Transmission periods and waiting periods. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary Packet Transmission with adaptive modulation under interweave implementation to facilitate the delay analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length SU Transmission and waiting periods. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
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service time analysis for secondary Packet Transmission with adaptive modulation
Wireless Communications and Networking Conference, 2017Co-Authors: Wenjing Wang, Muneer Usman, Hongchuan Yang, Mohamedslim AlouiniAbstract:Cognitive radio communications can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, secondary user transmits only if primary user does not occupy the channel and waits for Transmission otherwise. Therefore, secondary Packet Transmission involves both Transmission time and waiting time. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary Packet Transmission with adaptive modulation under interweave implementation to facilitate the delay and throughput analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length Transmission and waiting slots. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
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WCNC - Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation
2017 IEEE Wireless Communications and Networking Conference (WCNC), 2017Co-Authors: Wenjing Wang, Muneer Usman, Hongchuan Yang, Mohamedslim AlouiniAbstract:Cognitive radio communications can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, secondary user transmits only if primary user does not occupy the channel and waits for Transmission otherwise. Therefore, secondary Packet Transmission involves both Transmission time and waiting time. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary Packet Transmission with adaptive modulation under interweave implementation to facilitate the delay and throughput analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length Transmission and waiting slots. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
Kuanching Li - One of the best experts on this subject based on the ideXlab platform.
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efficient data Packet Transmission algorithm for ipv6 mobile vehicle network based on fast switching model with time difference
Future Generation Computer Systems, 2019Co-Authors: Wei Liang, Jing Long, Kuanching LiAbstract:Abstract In the IPV6 wireless network, the nodes are numerous, mobile. and have high latency. In this work, we propose an efficient data Packet Transmission algorithm based on fast switching model with time difference called EDPTA. A mathematical communication model is proposed in the high-speed IPV6 vehicle network. This model considers the probabilistic relationship between data Transmission in different time intervals and the ratio of newly added neighboring and current nodes. On this basis, a data Packet Transmission algorithm for dynamical vehicle nodes is designed. Communication threshold is used to control the communication times of vehicle nodes. Experiments show that the proposed algorithm has good performance in terms of lifetime, power overhead, and data reliability within the valid communication range compared with other algorithms.
Hyoungju Ji - One of the best experts on this subject based on the ideXlab platform.
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Pilot-Less Sparse Vector Coding for Short Packet Transmission
IEEE Wireless Communications Letters, 2019Co-Authors: Hyoungju Ji, Wonjun Kim, Byonghyo ShimAbstract:A short Packet Transmission is one of the major operational modes for mission-critical data in ultra reliable and low latency communications (URLLCs) and control-type data in massive machine-type communications (mMTCs). The central challenge in the short Packet Transmission is the excessive amount of overhead caused by the pilot signaling. In this letter, we propose a novel Transmission scheme that does not require the pilot signaling, called pilot-less sparse vector coding (PL-SVC). Key feature of PL-SVC is to map the input as a composite of the sparse vector and the fading channel and to perform decoding by finding out the nonzero positions of a sparse vector. In this setting, the system matrix becomes a pseudo-random spreading matrix and the input vector becomes a channel-scaled sparse vector so that the PL-SVC decoding problem can be cast into the support detection problem in the compressed sensing. We show from numerical experiments in the 5G uplink scenario that PL-SVC is very effective in the short Packet Transmission and outperforms conventional schemes.
