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Showing 1 to 20 of 21 for “"URLLC"”.

  1. Dynamic Reinforcement Learning-based Resource Allocation For Grant-Free Access

    … for ultra-reliable low latency communication (URLLC). Among the use cases enabled by 5G, URLLC is of major importance for mission-critical IoT applications such as smart transporta- tion, industrial automation, telemedicine, tactile Internet, etc. However, URLLC requires below 1 ms radio …

    queens Repository record for Dynamic Reinforcement Learning-based Resource Allocation For Grant-Free Access (opens in a new tab)

  2. Real-Time Resource Optimization for Wireless Networks

    … problems: • A DRL-based Approach to Dynamic eMBB/URLLC Multiplexing in 5G NR: We study the problem of dynamic multiplexing of eMBB and URLLC on the same channel through preemptive resource puncturing. The real-time requirement for determining the optimal URLLC puncturing solution is 1 ms (under 5G …

    vt Repository record for Real-Time Resource Optimization for Wireless Networks (opens in a new tab)

  3. Guessing Random Additive Noise Decoding (GRAND), from Performance to Implementation

    … in Ultra Reliable Low Latency Communications (URLLC), a universal optimal decoder is desired that can not only be used to select the best short code candidate, but also can adapt itself to channel memory avoiding performance degradation. The Guessing Random Additive Noise Decoding (GRAND) …

    mit Repository record for Guessing Random Additive Noise Decoding (GRAND), from Performance to Implementation (opens in a new tab)

  4. Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing

    … (eMBB) Ultra-reliable low-latency communication (URLLC) Massive machine-type communication (mMTC) The demand for URLLC grows, particularly for applications like autonomous guided vehicles (AGVs), unmanned aerial vehicles (UAVs), and factory automation, and has a strict requirement of low latency …

    trento Repository record for Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing (opens in a new tab)

  5. On the Feasibility of Utilizing Commercial 4G LTE Systems for Misson-Critical IoT Applications

    … <p>Ultra-Reliable Low-Latency Communication (URLLC) paradigm has recently emerged to enable a new range of mission-critical applications and services including industrial automation, real-time operation and control of the smart grid, inter-vehicular communications for improved safety and …

    cuny Repository record for On the Feasibility of Utilizing Commercial 4G LTE Systems for Misson-Critical IoT Applications (opens in a new tab)

  6. Modelling and simulation of device to device based protocol for ultra-reliable low latency communication

    … for Ultra- Reliable Low Latency Communication (URLLC) system. It is important to understand the D2D communication concept through coding. By doing this way, it helps to save cost, easy to analyse which parameters affect the outputs. Also, it is very convenient to study the system using a …

    uthm Repository record for Modelling and simulation of device to device based protocol for ultra-reliable low latency communication (opens in a new tab)

  7. Enabling reliable control with communication constraints

    … of ultra-reliable low latency communications (URLLC). On the source side, we derive lower bounds on the minimum feedback bitrate required to sustain a given control performance in a Linear-Quadratic-Gaussian (LQG) control system. We then demonstrate that these bounds are nearly achievable using …

    texas Repository record for Enabling reliable control with communication constraints (opens in a new tab)

  8. Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks

    … Ultra-reliable and Low-latency Communications (uRLLC) and Massive Machine Type Communications (mMTC). Categorizing the network is achieved in 5G by a method called network slicing. In the future, a device connecting to a 5G network will be in one of three slices (eMBB, uRLLC and mMTC) based on …

    cape-town Repository record for Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks (opens in a new tab)

  9. Management and Analysis of Localization Information in Uncrewed Aerial Systems

    … with the low-latency, high-reliability goals of URLLC-class services. Finally, we develop a localization-driven trajectory optimization framework that incorporates Position Error Bounds derived from the Fisher Information Matrix, enabling UAVs to identify and traverse geometrically favorable …

    vt Repository record for Management and Analysis of Localization Information in Uncrewed Aerial Systems (opens in a new tab)

  10. Radio resource management techniques for industrial IoT in 5G-and beyond networks

    … Ultra-Reliable Low-Latency Communication (URLLC). Efficient Radio Resource Management (RRM) techniques are necessary to address the challenges posed by interference. The main objective of the research work reported in this thesis is the development of new RRM techniques for D2D …

    greenwich Repository record for Radio resource management techniques for industrial IoT in 5G-and beyond networks (opens in a new tab)

  11. Selective prioritisation of real-time IP packets to improve quality of service in 5G wireless sensor networks

    … of Ultra-Reliable Low-Latency Communication (URLLC), which is vital to meeting the stringent requirements of emerging real-time applications. However, the static, rule-based scheduling algorithms traditionally used for Quality of Service (QoS) management are ill-equipped to handle the dynamic, …

    london-metro Repository record for Selective prioritisation of real-time IP packets to improve quality of service in 5G wireless sensor networks (opens in a new tab)

  12. On enhancing connectivity and efficiency in 5G and emerging 6G mobile networks

    … and ultra-reliable low-latency communication (URLLC). The thesis first examines base station selection strategies in 5G heterogeneous networks, comparing Maximum Received Power (MRP) and Maximum SINR-based association. Results show clear trade-offs between interference awareness, load …

    cork Repository record for On enhancing connectivity and efficiency in 5G and emerging 6G mobile networks (opens in a new tab)

  13. Wireless Network Dimensioning and Provisioning for Ultra-reliable Communication: Modeling and Analysis

    … as ultra-reliable low-latency communication (URLLC) and hyper-reliable low-latency communication (HRLLC), the staple mission-critical services in IMT-2020 (5G) and IMT-2023 (6G), for which reliable and resilient communication is a must. However, achieving ultra-reliable communication is …

    vt Repository record for Wireless Network Dimensioning and Provisioning for Ultra-reliable Communication: Modeling and Analysis (opens in a new tab)

  14. Radio Resource Management in 5G Cellular Networks

    … and ultra-reliable low-latency communications (URLLC). To accommodate these wide range of services, a key role is played by scheduling and radio resource allocation, whose aim is allowing efficient sharing of the limited radio spectrum among different services. The aim of this Dissertation is to …

    catania Repository record for Radio Resource Management in 5G Cellular Networks (opens in a new tab)

  15. Innovative Coexistence: Design and Analysis of Underlay Signaling in 5G New Radio

    … Ultra-Reliable Low Latency Communications (URLLC), and the offloading of crucial control information of 5G to the underlay channel. Thus, this underlay operates as a low-data rate error-free conduit, with the potential to provide Low Probability of Interception (LPI) and Low Probability of …

    vt Repository record for Innovative Coexistence: Design and Analysis of Underlay Signaling in 5G New Radio (opens in a new tab)

  16. Machine Learning driven Resource Allocation in Edge Cloud

    … for ultra-reliable low-latency communication (URLLC) applications in 6G networks. We adopt a match-action table mapping-based strategy to achieve in-network RL inference and develop our proposed framework using the programming protocol-independent packet processor (P4) data plane programming …

    cuny Repository record for Machine Learning driven Resource Allocation in Edge Cloud (opens in a new tab)

  17. Security for network services delivery of 5G enabled device-to-device communications mobile network

    … Ultra Reliable Low Latency Communication (URLLC), Massive Machine Type Communication (mMTC), enhanced Mobile Broadband (eMBB). Device-to-Device (D2D) communications will be used as the underlaying technology to offload traffic from 5G Core Network (5GC) and push content closer to User …

    middlesex Repository record for Security for network services delivery of 5G enabled device-to-device communications mobile network (opens in a new tab)

  18. Performance evaluation of massive MIMO Systems for future wireless access systems

    … Ultlra Reliable Low Latency Communications (uRLLC) and enhanced Mobile Broadband (eMBB). In order to achieve the high capacity needed for enhanced Mobile Broadband (eMBB) to be a reality, a number of technologies have been proposed in various research forums. These include use of spectrum …

    cape-town Repository record for Performance evaluation of massive MIMO Systems for future wireless access systems (opens in a new tab)

  19. OTTIMIZZAZIONE DELL'INTERFACCIA 5G NR SULLA BASE DI TECNICHE INNOVATIVE

    … e Ultra-Reliable Lowlatency Communications (URLLC). Sulla base dei severi Key Performance Indicators (KPI), è già impegnativo ottimizzare separatamente i servizi appartenenti a ciascuno di questi scenari. Inoltre, affrontare contemporaneamente i KPIs dei diversi scenari è ancora più …

    catania Repository record for OTTIMIZZAZIONE DELL'INTERFACCIA 5G NR SULLA BASE DI TECNICHE INNOVATIVE (opens in a new tab)

  20. Reliable Low Latency Machine Learning for Resource Management in Wireless Networks

    … for ultra reliable low latency communication (URLLC) in the downlink of a wireless network. The proposed, experienced deep-RL framework can guarantee high end-to-end reliability and low end-to-end latency, under explicit data rate constraints, for each wireless user without any models of or …

    vt Repository record for Reliable Low Latency Machine Learning for Resource Management in Wireless Networks (opens in a new tab)

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