NarrowBand Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range flexible configurations for massive IoT radio access from groups devices with heterogeneous requirements. A configuration specifies the amount resource allocated to each group random and data transmission. Assuming no knowledge traffic statistics, there exists important challenge in "how determine maximizes long-term average number served at transmission time interval (TTI) online fashion."...

Massive Internet of Things (mIoT) has provided an auspicious opportunity to build powerful and ubiquitous connections that face a plethora new challenges, where cellular networks are potential solutions due their high scalability, reliability, efficiency. The random access channel (RACH) procedure is the first step connection establishment between IoT devices base stations in cellular-based mIoT network, modeling interactions static properties physical layer network dynamic queue evolving...

The cellular-based infrastructure is regarded as one of the potential solutions for massive Internet Things (mIoT), where random access (RA) procedure used requesting channel resources in uplink data transmission. Due to nature mIoT network with sporadic transmissions a large amount IoT devices, concurrent resource requests lead high probability RA failure. To relieve congestion during networks, we model and analyze well evaluate performance improvement due different schemes, including power...

Due to the diverse services and high rate requirements of telecom users, mobile cellular systems envisage challenges resource usage, especially base station (BS) in hot-spot area. This paper investigates on big data LTE/5G systems, then we design a assisted comprehensive BS analysis (CBSRA) algorithm. CBSRA algorithm considers six categories data/indicators. Then, judges usage level each indicator. Finally, takes outputs results. We implement realistic system China, proposed can assist...

Task-oriented communication is a new paradigm that aims at providing efficient connectivity for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper proposes task-oriented architecture end-to-end semantics transmission, where extracted compressed by the proposed adaptable semantic compression (ASC) method. However, accommodating multiple users in delay-intolerant system poses challenge. Higher ratios conserve channel resources but cause distortion, while...

Fine-grained capture of 3D Human-Object Interactions (HOIs) enhances human activity comprehension and supports various downstream visual tasks. However, previous models often assume that humans interact with rigid objects using only a few body parts, constraining their applicability. In this paper, we address the intricate challenge Full-Body Articulated Interaction (f-AHOI), where complete bodies articulated having interconnected movable joints. We introduce CHAIRS, an extensive...

NarrowBand-Internet of Things (NB-IoT) is a radio access technology recently standardized by 3GPP. To provide reliable connections with extended coverage, repetition transmission scheme applied in both Random Access CHannel (RACH) procedure and data transmission. In this letter, we model RACH the NB-IoT network taking into account repeated preamble collision using stochastic geometry. We derive exact expression success probability under time correlated interference, validate analysis...

We study how to effectively leverage expert feedback learn sequential decision-making policies. focus on problems with sparse rewards and long time horizons, which typically pose significant challenges in reinforcement learning. propose an algorithmic framework, called hierarchical guidance, that leverages the structure of underlying problem integrate different modes interaction. Our framework can incorporate combinations imitation learning (IL) (RL) at levels, leading dramatic reductions...

The densification of small cells in heterogeneous networks (HetNets) causes huge energy consumption and severe network interference. To fully exploit the potential new architecture, cell selection (CS) such HetNets should couple with reducing power this end, we jointly perform activation (CAS) to maximize efficiency (EE) under users' long-term rate constraints. formulated problem is a mixed-integer fractional form hard tackle. We need transform it into parametric subtractive form, by which...

Aiming at the problems of low path quality, poor dynamic obstacle avoidance ability, and high energy consumption underwater glider (UG) planning in unknown environments, a UG algorithm based on deep reinforcement learning is proposed. First, by modeling motion characteristics 3D space. The currents ocean were then analyzed classified, while for possible obstacles water. On this basis, Markov Decision Process (MDP) established, utilized training, finally actualized. Simulation results show...

Cellular-based networks are expected to offer connectivity for massive Internet of Things (mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from unreliability, due the collision simultaneous access. Despite that this problem has been treated in existing RACH schemes, these schemes usually organize IoT devices' transmission and re-transmission along with fixed parameters, thus can hardly adapt time-varying traffic patterns. Without adaptation, easily high access...

Random access channel (RACH) procedures in modern wireless communications are generally based on multi-channel slotted-ALOHA, which can be optimized by flexibly organizing devices' transmission and retransmission. However, due to the lack of information about traffic generation statistics occurrence random collision, optimizing RACH an exact manner is challenging. In this article, we first summarize general structure optimization for different schemes, then review existing methods machine...

Predicting the current backlog, or traffic load, in framed-ALOHA networks enables optimization of resource allocation, e.g., frame size. However, this prediction is made difficult by lack information about cardinality collisions and possibly complex packet generation statistics. Assuming no prior model, apart from a bound on its temporal memory, letter develops an online learning-based adaptive load method that based recurrent neural (RNN) specifically long short-term memory (LSTM)...

NarrowBand-Internet of Things (NB-IoT) is a new 3GPP radio access technology designed to provide better coverage for Low Power Wide Area (LPWA) networks. To reliable connections with extended coverage, repetition transmission scheme and up three Coverage Enhancement (CE) groups are introduced into NB-IoT during both Random Access CHannel (RACH) procedure data procedure, where each CE group configured different values resources. characterize the RACH performance network groups, this paper...

The IEEE 802.1 time-sensitive networking (TSN) standards aim at improving the real-time capabilities of standard Ethernet. TSN is widely recognized as long-term replacement proprietary technologies for industrial control systems. However, wired connectivity alone not sufficient to meet requirements future fifth-generation (5G) mobile/cellular technology has been designed with native support ultra-reliable low-latency communication (uRLLC). 5G promising stringent systems in wireless domain....

NarrowBand-Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range flexible configurations for massive IoT radio access from groups devices with heterogeneous requirements. A configuration specifies the amount resources allocated to each group random and data transmission. Assuming no knowledge traffic statistics, problem determine, in online fashion at Transmission Time Interval (TTI), maximizes long-term average number are able both deliver data. Given...

We investigate the influence of complex network topological structure on traffic delivery by awareness routing strategy. In order to characterize efficiency packet process, we introduce an parameter measure capacity critical value phase transition from free flow congestion. Here, present two kinds models, based its degree or betweenness that each node is proportional to. Simulation results show that, in case identical average degree, WS small-world significantly more susceptible congestion...

Cellular-based networks are expected to offer connectivity for massive Internet of Things (mIoT) systems, however, their Random Access CHannel (RACH) procedure suffers from unreliability, due the collision during simultaneous massive. Despite that this problem has been treated in existing RACH schemes by organizing IoT devices' transmission and retransmission via central control at Base Station (BS), these usually fixed over time, thus can hardly adapt time-varying traffic patterns. In order...

Time-critical control applications typically pose stringent connectivity requirements for communication networks. The imperfections associated with the wireless medium such as packet losses, synchronization errors, and varying delays have a detrimental effect on performance of real-time control, often safety implications. This paper introduces multi-service edge-intelligence new paradigm realizing time-critical over wireless. It presents concept which revolves around tight integration...

CAPTCHAs have been widely used in Web applications to prevent service abuse. With the evolution of computing environment from desktop ubiquitous computing, more and users are accessing on smart devices where touch based interactions dominant. However, majority designed for use computers laptops which do not reflect shift interaction style very well. In this paper, we propose a novel CAPTCHA design utilise convenience interface while retaining needed security. This is achieved through using...