The Experts below are selected from a list of 348 Experts worldwide ranked by ideXlab platform
Tony Q.s. Quek - One of the best experts on this subject based on the ideXlab platform.
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Radio Resource Management for Ultra-Reliable and Low-Latency Communications
IEEE Communications Magazine, 2017Co-Authors: Changyang She, Chenyang Yang, Tony Q.s. QuekAbstract:Supporting ultra-reliable and low-latency communications (URLLC) is one of the major goals in 5G communication systems. Previous studies focus on ensuring end-to-end Delay Requirement by reducing transmission Delay and coding Delay, and only consider reliability in data transmission. However, the reliability reflected by overall packet loss also includes other components such as queueing Delay violation. Moreover, which tools are appropriate to design radio resource allocation under constraints on Delay, reliability, and availability is not well understood. As a result, how to optimize resource allocation for URLLC is still unclear. In this article, we first discuss the Delay and packet loss components in URLLC and the network availability for supporting the quality of service of users. Then we present tools for resource optimization in URLLC. Last, we summarize the major challenges related to resource management for URLLC, and perform a case study.
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Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling
IEEE Journal on Selected Areas in Communications, 2017Co-Authors: Yi Zhong, Tony Q.s. Quek, Xi Aohu GeAbstract:Emergence of new types of services has led to various traffic and diverse Delay Requirements in fifth-generation (5G) wireless networks. Meeting diverse Delay Requirements is one of the most critical goals for the design of 5G wireless networks. Though the Delay of point-to-point communications has been well investigated, the Delay of multi-point to multi-point communications has not been thoroughly studied, since it is a complicated function of all links in the network. In this paper, we propose a novel tractable approach to analyze the Delay in the heterogeneous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of Delay outage and evaluate the effect of different scheduling policies on the Delay performance. Our numerical analysis reveals that offloading policy based on the cell range expansion greatly reduces the macrocell traffic, while bringing a small amount of growth for the picocell traffic. Our results also show that the Delay performance of round-robin scheduling outperforms first-in first-out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems, where Delay Requirement is increasingly becoming a key concern.
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heterogeneous cellular networks with spatio temporal traffic Delay analysis and scheduling
arXiv: Information Theory, 2016Co-Authors: Yi Zhong, Tony Q.s. QuekAbstract:Emergence of new types of services has led to various traffic and diverse Delay Requirements in fifth generation (5G) wireless networks. Meeting diverse Delay Requirements is one of the most critical goals for the design of 5G wireless networks. Though the Delay of point-to-point communications has been well investigated, the Delay of multi-point to multi-point communications has not been thoroughly studied since it is a complicated function of all links in the network. In this work, we propose a novel tractable approach to analyze the Delay in the heterogenous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of \emph{Delay outage} and evaluated the effect of different scheduling policies on the Delay performance. Our numerical analysis reveals that offloading policy based on cell range expansion greatly reduces the macrocell traffic while bringing a small amount of growth for the picocell traffic. Our results also show that the Delay performance of round-robin scheduling outperforms first in first out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems where Delay Requirement is increasingly becoming a key concern.
Xi Aohu Ge - One of the best experts on this subject based on the ideXlab platform.
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Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling
IEEE Journal on Selected Areas in Communications, 2017Co-Authors: Yi Zhong, Tony Q.s. Quek, Xi Aohu GeAbstract:Emergence of new types of services has led to various traffic and diverse Delay Requirements in fifth-generation (5G) wireless networks. Meeting diverse Delay Requirements is one of the most critical goals for the design of 5G wireless networks. Though the Delay of point-to-point communications has been well investigated, the Delay of multi-point to multi-point communications has not been thoroughly studied, since it is a complicated function of all links in the network. In this paper, we propose a novel tractable approach to analyze the Delay in the heterogeneous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of Delay outage and evaluate the effect of different scheduling policies on the Delay performance. Our numerical analysis reveals that offloading policy based on the cell range expansion greatly reduces the macrocell traffic, while bringing a small amount of growth for the picocell traffic. Our results also show that the Delay performance of round-robin scheduling outperforms first-in first-out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems, where Delay Requirement is increasingly becoming a key concern.
Yi Zhong - One of the best experts on this subject based on the ideXlab platform.
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Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling
IEEE Journal on Selected Areas in Communications, 2017Co-Authors: Yi Zhong, Tony Q.s. Quek, Xi Aohu GeAbstract:Emergence of new types of services has led to various traffic and diverse Delay Requirements in fifth-generation (5G) wireless networks. Meeting diverse Delay Requirements is one of the most critical goals for the design of 5G wireless networks. Though the Delay of point-to-point communications has been well investigated, the Delay of multi-point to multi-point communications has not been thoroughly studied, since it is a complicated function of all links in the network. In this paper, we propose a novel tractable approach to analyze the Delay in the heterogeneous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of Delay outage and evaluate the effect of different scheduling policies on the Delay performance. Our numerical analysis reveals that offloading policy based on the cell range expansion greatly reduces the macrocell traffic, while bringing a small amount of growth for the picocell traffic. Our results also show that the Delay performance of round-robin scheduling outperforms first-in first-out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems, where Delay Requirement is increasingly becoming a key concern.
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heterogeneous cellular networks with spatio temporal traffic Delay analysis and scheduling
arXiv: Information Theory, 2016Co-Authors: Yi Zhong, Tony Q.s. QuekAbstract:Emergence of new types of services has led to various traffic and diverse Delay Requirements in fifth generation (5G) wireless networks. Meeting diverse Delay Requirements is one of the most critical goals for the design of 5G wireless networks. Though the Delay of point-to-point communications has been well investigated, the Delay of multi-point to multi-point communications has not been thoroughly studied since it is a complicated function of all links in the network. In this work, we propose a novel tractable approach to analyze the Delay in the heterogenous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of \emph{Delay outage} and evaluated the effect of different scheduling policies on the Delay performance. Our numerical analysis reveals that offloading policy based on cell range expansion greatly reduces the macrocell traffic while bringing a small amount of growth for the picocell traffic. Our results also show that the Delay performance of round-robin scheduling outperforms first in first out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems where Delay Requirement is increasingly becoming a key concern.
Wei Yu - One of the best experts on this subject based on the ideXlab platform.
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a d2d based protocol for ultra reliable wireless communications for industrial automation
IEEE Transactions on Wireless Communications, 2018Co-Authors: Wei YuAbstract:As an indispensable use case for the 5G wireless systems on the roadmap, ultra-reliable and low-latency communications (URLLC) is a crucial Requirement for the coming era of wireless industrial automation. The key performance indicators for URLLC stand in sharp contrast to the Requirements of enhanced mobile broadband: low-latency and ultra-reliability are paramount but high data rates are often not required. This paper aims to develop communication techniques for making a paradigm shift from the conventional human-type broadband communications to the emerging machine-type URLLC. One fundamental task for URLLC is to deliver short commands from a controller to a group of actuators within the stringent Delay Requirement and with high reliability. Motivated by the factory automation setting in which the tasks are assigned to groups of devices that work in close proximity to each other and can thus form clusters of reliable device-to-device (D2D) networks, this paper proposes a novel two-phase transmission protocol for achieving URLLC. In the first phase, within the latency Requirement, the multi-antenna base station (BS) combines the messages of all devices within each group together and multicasts them to the corresponding groups; messages for different groups are spatially multiplexed. In the second phase, the devices that have decoded the messages successfully, herein defined as the leaders, help relay the messages to the other devices in their groups. Under this protocol, we design an innovative leader selection-based beamforming strategy at the BS by utilizing the sparse optimization technique. The proposed strategy leads to a desired sparsity pattern in user activity with at least one leader being able to decode its message in each group in the first phase, thus ensuring full utilization of the reliability enhancing D2D transmissions in the second phase. Simulation results are provided to show that the proposed two-phase transmission protocol considerably improves the reliability of the entire system within the stringent latency Requirement as compared with existing schemes for URLLC.
Liang Liu - One of the best experts on this subject based on the ideXlab platform.
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A D2D-based Protocol for Ultra-Reliable Wireless Communications for Industrial Automation
IEEE Transactions on Wireless Communications, 2018Co-Authors: Liang LiuAbstract:As one indispensable use case for the 5G wireless systems on the roadmap, ultra-reliable and low latency communications (URLLC) is a crucial Requirement for the coming era of wireless industrial automation. This paper aims to develop communication techniques for making such a paradigm shift from the conventional human-type broadband communications to the emerging machine-type URLLC. One fundamental task for URLLC is to deliver a short command from the controller to each actuator within the stringent Delay Requirement and also with high-reliability in the downlink. Motivated by the geographic feature in industrial automation that in the factories many tasks are assigned to different groups of devices who work in close proximity to each other and thus can form clusters of reliable device-to-device (D2D) networks, this paper proposes a novel two-phase transmission protocol for achieving the above goal. Specifically, in the first phase within the latency Requirement, the multi-antenna base station (BS) combines the messages of each group together and multicasts them to the corresponding groups; while in the second phase, the devices that have decoded the messages successfully, who are defined as the leaders, help relay the messages to the other devices in their groups. Under this protocol, we further design an innovative leader selection based beamforming strategy at the BS by utilizing the sparse optimization technique, which leads to the desired sparsity pattern in user activity, i.e., at least one leader exists in each group, in the first phase, thus making full utilization of the reliable D2D networks in the second phase. Simulation results are provided to show that the proposed two-phase transmission protocol considerably improves the reliability of the whole system within the stringent latency Requirement as compared to other existing schemes for URLLC such as Occupy CoW.
