This paper investigates the slice-based service function chain embedding (SBSFCE) problem, which is to embed chains (SFCs) of flows from different slices on a physical network for end-to-end slice deployment. Compared with regarding deployment as complete virtual (VNE), deploying perspective SBSFCE beneficial achieving more delicate resource allocation and jointly optimizing (VNF) mapping link without need particular topology designs. However, performing effective also faces several key...

Sensing-aided communication is a key element of future 6G networks, with LiDAR widely used in mmWave vehicular communications for its precise geometric data. However, the limited field view vehicle-mounted often results sparse roadside point clouds. To address this, we propose ELIAM, an Ellipsoid Windowing-based dataset generation framework. ELIAM integrates aerial data collection to enrich sparse, real-time vehicle dense clouds stationary objects. The Windowing technique further optimizes...

Cognitive diagnosis can infer the students' mastery of specific knowledge concepts based on historical response logs. However, existing cognitive diagnostic models (CDMs) represent proficiency via a unidimensional perspective, which can't assess each concept comprehensively. Moreover, Q-matrix binarizes relationship between exercises and concepts, it latent concepts. Especially, when granularity attributes refines increasingly, becomes incomplete correspondingly sparse binary representation...

Student performance prediction is one of the most important subjects in educational data mining. As a modern technology, machine learning offers powerful capabilities feature extraction and modeling, providing essential support for diverse application scenarios, as evidenced by recent studies confirming its effectiveness However, despite extensive experiments, methods have not been effectively integrated into practical teaching strategies, hindering their education. In addition, massive...

Edge-assisted vehicular crowdsensing (EAVC) system is an emerging data collection paradigm in Internet of Vehicles (IoV), where intelligent vehicles collaboratively perform complex sensing tasks under the guidance edge server. One main characteristics EAVC that large and balanced spatiotemporal coverage paramount importance to support various applications. Most existing works have focused on recruiting pervasive nondedicated conduct collection. However, collected cannot satisfy requirement...

IMU-based human joint motion acquisition system is attractive for real-time control and monitoring in the emerging wearable technology due to its portability. However, practical applications, it heavily suffers from long-term drift, magnetic interference inconsistency of rotational reference frames, which causes precision degradation. In this letter, a novel on-line gait estimation framework was proposed obtain angles directly under kinematic constraints between multiple body segments,...

Edge-assisted mobile crowdsensing is an emerging paradigm where users collect, and share sensing data at the edge of networks. With abundant on-board resources, large movement patterns intelligent vehicles, they have become candidates to sense up-to-date, fine-grained information for areas. The design vehicle recruitment in edge-assisted challenging due selfishness, uneven distribution as well spatiotemporal constraints vehicular applications. To deal with these challenges, this paper...

Driven by the soaring traffic demand and growing diversity of mobile services, wireless networks are evolving to be increasingly dense heterogeneous. Accordingly, in such large-scale complicated networks, optimal controlling is reaching unprecedented levels complexity while its traditional solutions handcrafted offline algorithms become inefficient due high complexity, low robustness, overhead. Therefore, reinforcement learning (RL), which enables network entities learn from their actions...

Quality of experience (QoE) and power consumption are two important considerations OFDMA multicell networks. In this letter, we propose a fair QoE-based radio resource allocation (FQRA) for Different from the previous work, multiuser QoE per is introduced as performance metric. A novel utility function, which can characterize fairness users' jointly, proposed. Then FQRA problem formulated. Due to nonconvex form optimization, two-step solution devised in subchannel performed iteratively....

Multicast is an effective transmission mode to support ever-growing multimedia applications. The introduction of software defined networking (SDN) and network function virtualization (NFV) makes the multicast service operation more flexible efficient. Nevertheless, one main challenge SDN/NFV-enabled optimally orchestrating chain (SFC) match resources. Compared with unicast, SFC orchestration (MSO) challenging due features like routing user fluidity (i.e., frequent arrival departure). There...

This paper considers a hybrid beamforming massive multiple-input multiple-output (MIMO) system operating in time-division duplex (TDD) mode. We investigate the combined impacts of quantized phase shifters (QPSs), channel non-reciprocity and estimation errors on achievable spectral efficiency (SE) considered system. first introduce an equivalent structure, based which, generic practical model is built for MIMO systems with structure. jointly mismatch between transceiver receiver circuits, as...

Owing to its excellent flexibility, unmanned aerial vehicles (UAV) have been widely adopted as access points provide data collection services for the Internet of Things (IoT) devices. Moreover, Millimeter-Wave (MmWave) aided UAV communications achieve extremely high rate has also become hot issue in recent research. Codebook designing and beam training are enabling technologies MmWave communications. However, existing solutions communication systems cannot be directly applied Mmwave...

The cloud radio access network (C-RAN) has emerged as a promising architecture to provide extremely high throughput with fantastic energy efficiency (EE) performance. However, all the RRHs need be connected baseband unit pool (BBU) through transport links, transmit power consumption becomes significant, which result in demands of new researches optimization. In this paper, we focus on dynamic remote head (RRH) activation and EE optimization order fully reap benefits brought by Green C-RAN....

Terahertz (THz) communication is a promising technique for the next generation cellular networks, owning to its rich spectrum resources. However, THz signal vulnerable blockage due high path loss and low penetration capability. Multi-connectivity widely used combat effect, which will handover user equipment (UE) surrounding candidate access points (APs) when current AP-UE link encounters blockage. In this paper, we exploit stochastic geometry analyze performance of multi-connectivity in...

Energy consumption of radio access networks (RANs) has become a significant issue, due to the growing density base stations (BSs). Recent works have validated possibility saving energy in RANs by dynamically turning on/off some BSs. However, most existing are based on stochastic traffic models, whose performance is unknown with real-world traffic. In this paper, we propose data-driven and deep reinforcement learning BS sleeping scheme. Specifically, first build TrafficNet, which anonymous...

MmWave communication is very promising for the vehicular network, where high data rate exchanging sensory as well high-quality entertainment video streaming required. In mmWave networks, handover occurs more frequently due to mobility of vehicles and sensitivity beams dynamic blockage deafness. However, beam re-sweeping required during process, directional beamforming adopted in which time-consuming. Hence, this paper, we propose a base stations (BSs) coordination based selection method...

The intensive deployment of base stations (BSs) in the radio access network (RAN) incurs huge energy consumption and operating overheads. Although centralized RAN (C-RAN) architecture can significantly relieve BS overheads by centralizing functions, strict front-haul requirements C-RAN make it challenging to realize a fully RAN. Recently, virtualized (V-RAN) has been proposed, allowing flexible function split (FS) crosshaul balance centralization mid-haul requirements. On other hand,...

This paper investigates the Joint Optimization of Base station sleeping, Functional split, and Routing selection (JOBFR) in virtualized radio access network (vRAN) architectures to minimize operator's total cost, including operating cost migration while satisfying user requirements. Specifically, we first use mathematical methods describe relationships between base (BS) functional split (FS) routing selection, then model goal as a joint optimization problem. Next, propose heuristic algorithm...

Past few years have witnessed the great potential of exploiting WiFi signals for positioning. Prior work focus on discovering absolute locations a radio source, and achieved promising accuracies tens centimeters. However, many applications such as aerial gesture or handwriting tracking are more concerned with detailed motion shape target rather than its exact locations, which require several fold higher accuracy. To this end, we present MagicInput, virtual interface by traces source. Based...

Communication networks for electric system is drawing lots of attention its indispensable effect in the smart grid. When design an dedicated private network grid, only considering maximum capacity may not be enough. In this paper, we consider orthogonal frequency division multiple access (OFDMA) two-way relay Joint resource allocation used to get higher spectrum efficiency. A reservation scheme proposed guarantee specific kind service while taking energy efficiency and pollutant emissions...

Advances in wireless communication techniques enable pervasive and ubiquitous video applications. Among different factors concerned, energy efficiency is one of the most challenging issues multimedia due to huge data traffic. Dynamic bursty interference sourcing from transmission best effort service can make Signal-to-Interference-plus-Noise-Ratio (SINR) traffic fluctuate drastically. To obtain target SINR, Home eNodeB (HeNB) needs frequently increase transmit power, resulting considerable...