Showing papers on "Latency (engineering) published in 2022"
TL;DR: In this article, the authors discuss how essential features of current TDM-PON specifications can be leveraged to also use them for low latency and high capacity professional services in public and private networks.
Abstract: Time division multiplexing passive optical networks (TDM-PONs) are the most widely deployed optical system solutions in current broadband access networks worldwide. The energy and cost efficiency of both their implementation and operation has reached levels that also make them an attractive option for other cost sensitive communication networks. We discuss how essential features of current TDM-PON specifications can be leveraged to also use them for low latency and high capacity professional services in public and private networks. Also, possible PON architecture evolutions towards added intra-PON communication are outlined that are motivated by the latency requirements of some practical use cases.
14 citations
TL;DR: In this article, a hybrid deep learning-enabled efficient congestion control mechanism is proposed for 5G/6G networks, which consists of long short term memory (LSTM) and support vector machine (SVM).
12 citations
TL;DR: Amnis as discussed by the authors proposes a novel stream query processing framework called Amnis that optimizes the performance of the stream processing applications through a careful allocation of computational and network resources available at the edge.
6 citations
TL;DR: This paper proposes a privacy‐preserving convolutional neural network prediction scheme (PCP‐LL) that supports low latency and lightweight users and adopts the distributed two trapdoors public‐key cryptosystem to achieve both data and model security.
Abstract: Convolutional neural networks (CNNs) have excellent and extensive applications in image recognition. With the continuous exploitation of data value and the proliferation of machine learning‐as‐a‐service, convolutional neural network prediction schemes on privacy preservation have been introduced one after another, which makes much more attention focused on the privacy leakage and services offered to be efficient and light. Therefore, how to improve the convolutional neural prediction scheme on the premise of privacy preservation turns out to be an imperative research issue. In this paper, we propose a privacy‐preserving convolutional neural network prediction scheme (PCP‐LL) that supports low latency and lightweight users. The scheme starts from the perspective of lossless accuracy from underlying networks. First, we construct a secure activation function computing protocol (SActF) utilizing a commodity‐based secure comparison protocol, which reduces the complexity and latency during the activation function computing under ciphertexts compared with common schemes. Second, to further support lightweight users, we introduce a secure output layer protocol (SOut) that enables users to obtain the prediction results without extra decryption after simple operations. Then, the scheme adopts the distributed two trapdoors public‐key cryptosystem (DT‐PKC) to achieve both data and model security, which well avoids security issues especially such as wiretapping by semi‐honest participants commonly in secret sharing schemes. Finally, through relevant evaluations, the scheme not only achieves privacy preservation and low latency, but also supports lightweight users.
2 citations
01 Jan 2022
TL;DR: In this paper, the authors highlight the different issues and challenges of 5G and compare different existing methodologies for mitigating these challenges, including interference, latency, power consumption, and data rate.
Abstract: The next-generation mobile communication network (5G) is a heterogeneous network, and it has the added advantage in the wireless communication field. Users will feel uninterrupted communication over the 5G network. It required a higher bandwidth in order to achieve a higher data rate. 5G is classified into three categories such as ultra-reliable low latency communication (URLLC), massive machine-type communication (mMTC), and enhance mobile broadband (eMBB) by the International Telecommunication Union (ITU). 5G will provide the higher data rate (Gbps), low latency, enhance quality of service (QoS), low energy consumption at a low cost per transmission, better spectral efficiency (SE), energy efficiency (EE), quality of service (QoS), improved throughput and better user experience. There will be so many challenges to achieve the above-mentioned factors. The main challenges are to reduce Interference, latency, power consumption, and enhance data rate. The paper highlights the different issues and challenges of 5G and compare different existing methodologies for mitigating these challenges.
2 citations
TL;DR: In this article, the implementation strategies of an explicit matrix inversion technique based on the recursive Gram Matrix Inversion Update (RGMIU) algorithm are discussed to optimize the design for high throughput dictated by the enhanced mobile broad band (eMBB) use case and by the low latency imposed by the ultra-reliable low-latency communications (URLLCs) using case.
2 citations
01 Jan 2022
TL;DR: In this paper, the authors proposed a congestion control algorithm for high-speed networks with low latency and good signal quality, which can adapt to the different changes that a network connection can experience, beyond this was born the need to design congestion control algorithms capable of preserving network performance.
Abstract: High-speed networks are a key technology which has brought very innovative solutions to the world of computer networks while retaining mobility, scalability, reliability… It provides a very efficient service in terms of signal speed and optimality. However, such networks with such performance needs robust systems capable of adapting to the different changes that a network connection can experience, beyond this was born the need to design congestion control algorithms capable of preserving network performance while providing high speed with low latency and good signal quality. By the way, analyzing these algorithms is the main purpose of this paper.
1 citations
01 Jan 2022
1 citations
01 Jan 2022
01 Jan 2022
TL;DR: In this article, a conflict-free dynamic programming based low-latency scheduling algorithm for TSCH network is proposed, in which identifying noninterfering transmissions in the network is posed as a maximum weight independent set problem, which is solved using a dynamic programming method.
Abstract: Internet of Things (IoT) is a technological concept bringing sustainability and sophistication to our lives and is a significant component of Industry 4.0. The main requirements of Industrial IoT are reliability, stringent latency and energy efficiency. The IEEE 802.15.4e standard has adapted a Medium Access Control (MAC) behavioural mode called Time Slotted Channel Hopping (TSCH) to address the requirements of Industry 4.0. The 6TiSCH (IPv6 over IEEE 802.15.4e TSCH) protocol stack enables us to schedule the transmissions in TSCH network to achieve application-specific guarantees. In this paper, we propose DPLLS, a conflict-free dynamic programming based low-latency scheduling algorithm for TSCH network. In particular, identifying non-interfering transmissions in the network is posed as a maximum weight independent set (MWIS) problem, which is solved using a dynamic programming method. We organise each slotframe into smaller parts called blocks in which the non-interfering transmissions are scheduled simultaneously using either a conservative or a greedy scheme. The blocks are repeated in a slotframe to accommodate the retransmissions of packets to ensure reliability and minimise the latency. The proposed scheme is evaluated using an example to find the suitable block length of the proposed schemes and compared with the existing scheduling algorithms.