In this paper, a mobile edge computing framework with multi-user computation offloading and transmission scheduling for delay-sensitive applications is studied. the considered model, tasks are generated randomly at users along time. For each task, user can choose to either process it locally or offload via uplink cloud computing. To efficiently manage system, network regulator required employ network-wide optimal scheme while guaranteeing that all would like follow (as they may naturally...

Human digital twin (HDT) is an emerging technology that can revolutionize the existing healthcare system with ability to enable personalized services (PHS) using various tools such as artificial intelligence and blockchain. Its implementation expected be similar twins proposed in other application areas manufacturing aviation by consisting of three key dimensions: physical entity, virtual model, connection characterizes physical-virtual interactions. The known complexity human body structure...

Digital twin (DT), referring to a promising technique digitally and accurately represent actual physical entities, has attracted explosive interests from both academia industry. One typical advantage of DT is that it can be used not only virtually replicate system's detailed operations but also analyze the current condition, predict future behavior, refine control optimization. Although been widely implemented in various fields, such as smart manufacturing transportation, its conventional...

Mobile artificial intelligence-generated content (AIGC) refers to the adoption of generative intelligence (GAI) algorithms deployed at mobile edge networks automate information creation process while fulfilling requirements end users. AIGC has recently attracted phenomenal attentions and can be a key enabling technology for an emerging application, called human digital twin (HDT). HDT empowered by is expected revolutionize personalized healthcare generating rare disease data, modeling...

The Internet of Things (IoT) can significantly enhance the quality human life, specifically in healthcare, attracting extensive attentions to IoT healthcare services. Meanwhile, digital twin (HDT) is proposed as an innovative paradigm that comprehensively characterize replication individual body world and reflect its physical status real time. Naturally, HDT envisioned empower beyond application monitoring by acting a versatile vivid testbed, simulating outcomes guiding practical treatments....

Unmanned aerial vehicles (UAVs) have been introduced into wireless communication systems to provide high-quality services and enhanced coverage due their high mobility. In this article, we study a UAV-assisted mobile-edge computing (MEC) system in which moving UAV equipped with resources is employed help user devices (UDs) compute tasks. The tasks of each UD can be divided two parts: one portion processed locally the remaining offloaded for computing. Offloading enabled by uplink downlink...

Edge computing as a promising technology provides lower latency, more efficient transmission, and faster speed of data processing since the edge servers are closer to user devices. Each server with limited resources can offload latency-sensitive computation-intensive tasks from nearby However, faces challenges such resource allocation, energy consumption, security privacy issues, etc. Auction mechanisms well characterize bidirectional interactions between devices under above constraints in...

Ensuring reliable update and evolution of a virtual twin in human digital (HDT) systems depends on any connectivity scheme implemented between such its physical counterpart. The adopted must consider HDT-specific requirements including privacy, security, accuracy the overall cost. This paper presents new, secure, privacy-preserving efficient human-to-virtual for HDT by integrating three key techniques: differential federated multi-task learning blockchain. Specifically, we adopt learning,...

Human digital twin (HDT) is an emerging paradigm that bridges physical twins (PTs) with powerful virtual (VTs) for assisting complex task executions in human-centric services. In this paper, we study a two-timescale online optimization building HDT under end-edge-cloud collaborative framework. As unique feature of HDT, consider PTs' corresponding VTs are deployed on edge servers, consisting not only generic models placed by downloading experiential knowledge from the cloud but also...

Innovative mobile artificial intelligence-generated content (AIGC) can support the evolution and updating processes of virtual twins (VTs) in human digital twin (HDT) systems. With a reliable efficient automatic data generation process, requirement for timely physical-to-virtual synchronization HDT be satisfied. While such an AIGC-enabled system facilitate modelling high fidelity VTs, generating that represents true states physical environment providing customized services, it may suffer...

The dynamic spectrum access (DSA) among multiple heterogeneous primary owners (POs) and secondary users (SUs) in recall-based cognitive radio networks is investigated this paper. In our framework, SUs demand a different amount of for their transmissions. Each PO provides portion resources leasing also offers its own (PUs) certain degree quality service (QoS). Furthermore, POs are allowed to have trading areas as well activities between POs' users. We propose Two-stage resource allocation...

In this paper, a downlink cellular traffic offloading framework with social-aware device-to-device (D2D) content sharing and proactive caching is studied. the considered system model, each user equipment (UE) intelligent to determine which content(s) request/cache share according its own preference. As central controller, base station (BS) can establish transmissions and/or incentivize D2D communications for dissemination (including caching). By taking into account wireless features, social...

In this paper, joint resource management for device-to-device (D2D) communication assisted multi-tier fog computing is studied. the considered system model, each subscribed mobile end user can choose to offload its computation task either an edge server deployed at base station via cellular connection or one nearby third-party node direct D2D connection. After receiving offloading requests from all users, network operator determines optimal of system, including both and allocations,...

In this paper, the scheduling management of delay-constrained medical packet transmissions in Internet Things (IoT)-based healthcare networks is studied. Unlike most existing works literature, we focus on beyond wireless body area network (beyond-WBAN) communications, i.e., data between smart WBAN-gateways (e.g., smartphones) and base station (BS) remote centers. our model, various packets are randomly aggregated at each gateway (which ordinarily stands for one patient), their beyond-WBAN...

Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving computation-intensive tasks (e.g., bearing fault monitoring) that require low-response delay, low energy consumption, and high processing accuracy. In this article, an energy-efficient resource management framework IIoT with closed-loop control on end devices, edge servers, cloud center studied. considered model, each server aggregates data collected by industrial sensors (i.e., devices) forms...

In this paper, the joint sensor activation and mobile charging vehicle scheduling for wireless rechargeable network (WRSN) based industrial Internet of Things (IIoT) is studied. proposed framework, an optimal set selected to collaboratively execute a bundle heterogeneous tasks (e.g., production-line monitoring), meeting quality-of-monitoring (QoM) each individual task, we consider that (MCV) scheduled recharging sensors before their deadlines, i.e., time instants running out batteries, in...

In this paper, a novel two-timescale resource management framework for mobile edge computing (MEC) is constructed. Unlike existing studies, providing seamless and cost-efficient MEC services, work aims to strike the balance between service migration task rerouting devices (MDs) whenever handovers occur (i.e., switching access from one server another). Considering network dynamics (e.g., randomness of MDs' generations time-varying channel conditions) asynchronization different decisions with...

In this article, an energy-efficient scheduling problem for multiple unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) is studied. the considered model, UAVs act as mobile edge servers to provide services end-users with task offloading requests. Unlike existing works, we allow determine not only their trajectories but also decisions of whether returning depot replenishing energies and updating application placements (due limited batteries storage capacities). With aim...

Container–based microservice provisioning, with its elasticity in terms of the layered structure, enables sharing common layers among different edge computing tasks, both within and across servers (ES). However, due to potential hardware breakdowns, each ES may prone failures, affecting lifetime (i.e., time-length that an works continuously without interruptions), turn leading collapse their hosted/provided microservices or other ESs' requesting from it. To address such issue, this paper, we...

The multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) has been considered as a promising technology for the fifth generation (5G) networks to improve system capacity and spectral efficiency. In this paper, we propose cluster beamforming strategy jointly optimize vectors power allocation coefficients mobile users (MUs) in MIMO-NOMA clustering with aim of reducing total consumption. This approach avoids peer effect during process matrix calculation can obtain...

In this paper, we consider a spectrum auction system among heterogeneous secondary users (SUs) with various quality-of-service (QoS) requirements and recall-based primary base station (PBS) that could recall channels after to deal sudden increase in its own demand. Beginning proposing single-winner (RSSA) algorithm, further extend our work allow multiple winners order improve the utilization propose multiple-winner (RMSA) algorithm. A combinatorial model is then formulated,...

In this paper, a long-term workload management problem for multi-server edge computing with server collaboration is studied. the considered model, mobile users' computation-intensive tasks are generated dynamically over time and offloaded to associated servers according pre-determined subscription agreements. Upon receiving subscribed workload, each can then decide whether participate in enabling re-allocation (i.e., exchange) other heterogeneously configured servers. Unlike most of existing...

In this paper, we consider an aerial reconfigurable intelligent surface (ARIS)-assisted wireless network, where multiple unmanned vehicles (UAVs) collect data from ground users (GUs) by using the non-orthogonal access (NOMA) method. The ARIS provides enhanced channel controllability to improve NOMA transmissions and reduce co-channel interference among UAVs. We also propose a novel dual-mode switching scheme, each UAV equipped with both radio frequency (RF) transceiver can adaptively perform...