Understanding the Heart of the 5G Air Interface: An Overview of Physical Downlink Control Channel for 5G New Radio

Takeda, Kazuki; Xu, Huilin; Kim, Taehyoung; Schober, Karol; Lin, Xingqin

doi:10.1109/mcomstd.001.1900048

Cited by 41 publications

(27 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remote rendering and control example of Cloud-based gaming platforms applied to a XR context enables the development of new media and innovative platforms according to a Software-as-a-Service (SaaS) approach. Graphical rendering is then placed on the MEC part of the 5G architecture [63], while the end user's device becomes a client terminal for streaming the controls of the XR environment to the high-performance computing infrastructure hosted in the 5G Air interface [64][65][66][67]. The XR processing unit on the MEC becomes crucial for the integration and processing of data coming from IoT-based "services", such as depth or distance measuring sensors (e.g., ultrasonic), IMU sensors, video data (e.g., from cameras), and more.…”

Section: Xrmentioning

confidence: 99%

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Davoli

Paraskevopoulos

Campanella

et al. 2021

Sensors

View full text Add to dashboard Cite

One of the sectors that is expected to significantly benefit from 5G network deployment is eXtended Reality (XR). Besides the very high bandwidth, reliability, and Quality of Service (QoS) to be delivered to end users, XR also requires accurate environmental perception for safety reasons: this is fundamental when a user, wearing XR equipment, is immersed in a “virtual” world, but moves in a “real” environment. To overcome this limitation (especially when using low-cost XR equipments, such as cardboards worn by the end user), it is possible to exploit the potentialities offered by Internet of Things (IoT) nodes with sensing/actuating capabilities. In this paper, we rely on ultrasonic sensor-based IoT systems to perceive the surrounding environment and to provide “side information” to XR systems, then performing a preliminary experimental characterization campaign with different ultrasonic IoT system configurations worn by the end user. The combination of the information flows associated with XR and IoT components is enabled by 5G technology. An illustrative experimental scenario, relative to a “Tourism 4.0” IoT-aided VR application deployed by Vodafone in Milan, Italy, is presented.

show abstract

Section: Xrmentioning

confidence: 99%

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Davoli

Paraskevopoulos

Campanella

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In [4], the authors provide an overview of the 5G NR PDCCH by discussing physical layer structure of PDCCH, monitoring schemes, and DCI aspects. In [5], the link-level performance of NR PDCCH is evaluated in terms of the block error rate (BLER).…”

Section: A Related Work On Nr Pdcchmentioning

confidence: 99%

Blocking Probability Analysis for 5G New Radio (NR) Physical Downlink Control Channel

Mozaffari

Wang

Kittichokechai

2021

ICC 2021 - IEEE International Conference on Communications

View full text Add to dashboard Cite

The 5th generation (5G) new radio (NR) is designed to support a wide range of use cases, requirements, and services from enhanced mobile broadband (eMBB) to ultra-reliable lowlatency communications (URLLC). NR signals are designed to meet stringent requirements, and in particular the physical downlink control channel (PDCCH) which requires careful consideration. In this paper, we provide a comprehensive analysis on the PDCCH blocking probability in a network where multiple users need to be scheduled for receiving downlink control information. We evaluate the performance of blocking probability in terms of various network parameters including number of users, size of the control resource set (CORESET), and PDCCH aggregation levels (ALs). Our analysis reveals fundamental tradeoffs and key insights for efficient network design in terms of PDCCH blocking probability.

show abstract

“…Compared to the UL channels, downlink (DL) control channels such as the Physical Downlink Control Channel (PDCCH) and Primary Synchronization Signal/Secondary Synchronization Signal (PSS/SSS) prove more vulnerable to jamming. The NR CORESET carries Downlink Control Information (DCI), key to link quality management [7].…”

Section: Nr Coreset Jamming Vulnerabilitymentioning

confidence: 99%

AI-Powered Real-Time Channel Awareness and 5G NR Radio Access Network Scheduling Optimization

Wang

Górski

DaSilva

2021

2021 17th International Conference on the Design of Reliable Communication Networks (DRCN)

View full text Add to dashboard Cite

As with any other wireless technology, 5G is not immune to jamming. To achieve consistent performance, network resource scheduling must be optimized in a way that reacts to jamming in the NR channel environment. This paper presents a cognitive system for real-time Channel Awareness and Radio Access Network (RAN) Scheduling (CARS) optimization based on multi-dimensional temporal machine learning models. Our system automatically detects and classifies jamming in the channel environment and optimizes scheduling based on classification results and collected link parameters. Based on over-the-air (OTA) experiments, detection and classification time is less than 0.8 seconds, which enables real-time optimization. The system is evaluated and verified for OTA experimentation through integration to our end-to-end NR system. An Automated Jamming Module (AJM) is designed and implemented. Connecting the AJM to our NR system enables a comprehensive evaluation environment for our Jamming Detection and Classification Model (JDCM) and Modulation and Coding Scheme optimization model. The improvement in connection resiliency against Control Resource Set jamming is proof of the CARS concept for real-time channel awareness and scheduling optimization. Depending on channel conditions, CARS achieves a 30% or higher improvement in NR system throughput.

show abstract

Understanding the Heart of the 5G Air Interface: An Overview of Physical Downlink Control Channel for 5G New Radio

Cited by 41 publications

References 4 publications

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Blocking Probability Analysis for 5G New Radio (NR) Physical Downlink Control Channel

AI-Powered Real-Time Channel Awareness and 5G NR Radio Access Network Scheduling Optimization

Contact Info

Product

Resources

About