• Title/Summary/Keyword: low latency

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Unipodal 2PAM NOMA without SIC: toward Super Ultra-Low Latency 6G

  • Chung, Kyuhyuk
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.69-81
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    • 2021
  • While the fifth generation (5G) and beyond 5G (B5G) mobile communication networks are being rolled over the globe, several world-wide companies have already started to prepare the sixth generation (6G). Such 6G mobile networks targets ultra-reliable low-latency communication (URLLC). In this paper, we challenge to reduce the inherent latency of existing non-orthogonal multiple access (NOMA) in 5G networks of massive connectivity. First, we propose the novel unipodal binary pulse amplitude modulation (2PAM) NOMA, especially without SIC, which greatly reduce the latency in existing NOMA. Then, the achievable data rates for the unipodal 2PAM NOMA are derived. It is shown that for unequal gain channels, the sum rate of the unipodal 2PAM NOMA is comparable to that of the standard 2PAM NOMA, whereas for equal gain channels, the sum rate of the unipodal 2PAM NOMA is superior to that of the standard 2PAM NOMA. In result, the unipodal 2PAM could be a promising modulation scheme for NOMA systems toward 6G.

FPGA-based Hardware Prediction Rendering for Low-Latency Touch Platform

  • Song, Seok Bin;Kim, Jin Heon
    • Journal of Multimedia Information System
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    • v.5 no.1
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    • pp.59-62
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    • 2018
  • The delay between input action and visual interface feedback ("Latency") in a touchscreen inking task reduces the user's performance. When the latency is less than 2.38ms, the user cannot perceive the latency in dragging task. This value is difficult to achieve on recent touchscreens and general purpose computers. So, methods of predicting touch points to reduce perceptible latency has been proposed. In general, touch points prediction is not perfect. When using point prediction, feedback of the predicted points is displayed on the screen, after a while, erased when the actual points are displayed. When this task is implemented by software, it causes additional latency to work to erase predicted points feedback. It therefore propose a platform for rendering point prediction feedback without additional latency by the FPGA. This platform transmits input points and HDMI signals rendering feedback of input points to the FPGA. The FPGA draws the feedback of points predicted based on the input points on the HDMI and displays the screen. Since hardware rendering changes the HDMI signal every frame, it does not require erasing work and rendering can be done within an early time regardless of the amount of rendering, so we will reduce the latency.

Syndrome Check aided Fast-SSCANL Decoding Algorithm for Polar Codes

  • Choangyang Liu;Wenjie Dai;Rui Guo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1412-1430
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    • 2024
  • The soft cancellation list (SCANL) decoding algorithm for polar codes runs L soft cancellation (SCAN) decoders with different decoding factor graphs. Although it can achieve better decoding performance than SCAN algorithm, it has high latency. In this paper, a fast simplified SCANL (Fast-SSCANL) algorithm that runs L independent Fast-SSCAN decoders is proposed. In Fast-SSCANL decoder, special nodes in each factor graph is identified, and corresponding low-latency decoding approaches for each special node is propose first. Then, syndrome check aided Fast-SSCANL (SC-Fast-SSCANL) algorithm is further put forward. The ordinary nodes satisfied the syndrome check will execute hard decision directly without traversing the factor graph, thereby reducing the decoding latency further. Simulation results show that Fast-SSCANL and SC-Fast-SSCANL algorithms can achieve the same BER performance as the SCANL algorithm with lower latency. Fast-SSCANL algorithm can reduce latency by more than 83% compared with SCANL, and SC-Fast-SSCANL algorithm can reduce more than 85% latency compared with SCANL regardless of code length and code rate.

Development of Low Latency Secure Communication Device for Legacy SCADA (저지연 Legacy SCADA 보안 통신장치 개발)

  • Choi, Moon-Suk;Kim, Chung-Hyo;Lim, You-Seok;Ju, Seong-Ho;Lim, Yong-Hun;Jeon, Kyung-Seok
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.2
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    • pp.339-346
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    • 2013
  • As the need for security of SCADA systems is increasing, significant progress has been made in research on security of control protocol. However, very few security solutions were adapted to legacy SCADA system. The reasons for non-adoption are latency, cost and key management problem. We propose a low latency, economic security Solution to solve these issues. The proposed solution performs security function in data link layer and has minimum overhead to minimize latency. Furthermore, we try to solve the key management problem by providing systematic security keys and key distribution method.

Multi-access Edge Computing Scheduler for Low Latency Services (저지연 서비스를 위한 Multi-access Edge Computing 스케줄러)

  • Kim, Tae-Hyun;Kim, Tae-Young;Jin, Sunggeun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.15 no.6
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    • pp.299-305
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    • 2020
  • We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.

Performance Analysis of Low Latency Pre-Registration Handoff (낮은 지연을 갖는 사전등록 핸드오프의 성능분석)

  • 김두용;박상현
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.4
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    • pp.329-333
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    • 2003
  • In this paper we analyze the performance of the low latency pre-registration handoff method of mobile IP by computer simulation. Packet losses and delays are evaluated in terms of system utilization. Foreign agents that participate in the handoff process can be modeled as queues representing input and output ports. Therefore, we propose an analytical model of pre-registration handoff by using open queueing network model. Simulation results are shown for validating analytical estimates.

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A Low-Latency Mobile IP Handoff Scheme for Real-Time Services (실시간 서비스를 위한 모바일 IP의 Low-Latency핸드오프 방안)

  • 김동진;강문수;이경희;김문주;김명철
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10c
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    • pp.685-687
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    • 2004
  • 본 논문에서는 이동 인터넷 환경에서 핸드오프 시, 링크 계층 (L2) 정보를 이용하며 새로 발견한 모바일 에이전트와의 등록 절차를 L2 핸드오프 완료 후 곧바로 수행하는 로우-레이턴시 (Low-Latency) 핸드오프 방안을 제안하고 이를 구현한다. 제안한 방법은 기존 연구들에 비해 추가적인 L2 핸드오프 지연 및 별도 네트워크 구성요소를 필요로 하지 않으며 보다 일반적이고 현실적인 네트워크 환경에서 적용될 수 있는 방안이다. 실험 결과는 제안된 방법이 인프라스트럭처 (infrastructure) 모드로 설정된 무선 랜에서 모바일 IP의 핸드오프 지연을 크게 개선하여 이동 인터넷 환경의 실시간 멀티미디어 서비스에 적합함을 보여준다.

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Technical Trends of Ultra-Reliable Low-Latency Communication for 5G (5G URLLC 기술 동향)

  • Park, O.S.;Kim, S.K.;Park, G.Y.;Shin, W.R.;Shin, J.S.
    • Electronics and Telecommunications Trends
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    • v.34 no.6
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    • pp.42-50
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    • 2019
  • The fifth generation (5G) wireless technology is expected to be the trigger for the fourth industrial revolution. In particular, 5G ultra reliable low latency communication (URLLC) is expected to lead the wireless automation in vertical domains. In this paper, we analyze use cases, key metrics, and physical layer technologies for 5G URLLC standardized in $3^{rd}$ Generation Partnership Project Radio Access Network (3GPP RAN). Additionally, we discuss enabling RAN technologies towards beyond 5G to support high reliability and low latency.

Research Trends of Ultra-reliable and Low-latency Machine Learning-based Wireless Communication Technology (기계학습기반 초신뢰·저지연 무선통신기술 연구동향)

  • Lee, H.;Kwon, D.S.
    • Electronics and Telecommunications Trends
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    • v.34 no.3
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    • pp.93-105
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    • 2019
  • This study emphasizes the importance of the newly added Ultra-Reliable and Low-Latency Communications (URLLC) service as an important evolutionary step for 5G mobile communication, and proposes a remedial application. We analyze the requirements for the application of 5G mobile communication technology in high-precision vertical industries and applications, introduce the 5G URLLC design principles and standards of 3GPP, and summarize the current state of applied artificial intelligence technology in wireless communication. Additionally, we summarize the current state of research on ultra-reliable and low-latency machine learning-based wireless communication technology for application in ultra-high-precision vertical industries and applications. Furthermore, we discuss the technological direction of artificial intelligence technology for URLLC wireless communication.