Mobile-edge computing (MEC) and wireless power transfer (WPT) have been recognized as promising techniques in the Internet of Things era to provide massive low-power devices with enhanced computation capability sustainable energy supply. In this paper, we propose a unified MEC-WPT design by considering powered multiuser MEC system, where multiantenna access point (AP) (integrated an server) broadcasts charge multiple users each user node relies on harvested execute tasks. With MEC, these can...

Scheduling plays an important role in providing quality of service (QoS) support to multimedia communications various kinds wireless networks, including cellular mobile ad hoc and sensor networks. The authors propose a scheduling algorithm at the medium access control (MAC) layer for multiple connections with diverse QoS requirements, where each connection employs adaptive modulation coding (AMC) scheme physical (PHY) over fading channels. Each is assigned priority, which updated dynamically...

Mobile edge computing is of particular interest to Internet Things (IoT), where inexpensive simple devices can get complex tasks offloaded and processed at powerful infrastructure. Scheduling challenging due stochastic task arrivals wireless channels, congested air interface, more prominently, prohibitive feedbacks from thousands devices. In this paper, we generate asymptotically optimal schedules tolerant out-of-date network knowledge, thereby relieving stringent requirements on feedbacks....

Airborne relaying can extend wireless sensor networks (WSNs) to remote human-unfriendly terrains. However, lossy airborne channels and limited battery of unmanned aerial vehicles (UAVs) are critical issues, adversely affecting success rate network lifetime, especially in real-time applications. We propose an energy-efficient cooperative scheme which extends lifetime while guaranteeing the rate. The optimal transmission schedule UAVs is formulated minimize maximum (min-max) energy consumption...

A metamaterial electromagnetic (EM) power detector is presented, which constructed with a metal disk resonator and load resistor for microwave detection applications. The absorbs the incident energy converts it into thermal at resistor, enabling wave to be detected. Simulation results show good linear relationship between resistor's temperature density, indicating high absorption, wide-range incidence angle sensitivity, polarization insensitivity. Additionally, detector's cell array can...

An effective location algorithm, which considers non-line-of-sight (NLOS) propagation, is presented. By using a new variable to replace the square term, problem becomes mathematical programming problem, and then NLOS propagation's effect can be evaluated. Compared with other methods, proposed algorithm has high accuracy.

It is common to find graphs with millions of nodes and billions edges in, e.g., social networks. Queries on such are often prohibitively expensive. These motivate us propose query preserving graph compression, compress relative a class Λ queries users' choice. We compute small Gr from G that (a) for any Q Ε Q, Q(G) = Q'(Gr), where Q' can be efficiently computed Q; (b) algorithm computing directly applied evaluating as is. That is, while we cannot lower the complexity queries, reduce data...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Scheduling amounts to allocating optimally channel, rate and power resources multiple connections with diverse quality-of-service (QoS) requirements. It constitutes a throughput-critical task at the medium access control layer of today's wireless networks that has been tackled by seemingly unrelated information-theoretic protocol design approaches. Capitalizing on convex optimization stochastic...

Computation offloading has already shown itself to be successful for enabling resource-intensive applications on mobile devices. Moreover, in view of edge computing (MEC) system, devices can offload compute-intensive tasks a nearby cloudlet, so as save the energy and enhance processing speed. However, due varying network conditions limited computation resources cloudlets, actions taken by user may not achieve lowest cost. In this paper, we develop dynamic framework users, considering local...

Resource allocation issues are investigated in this paper for multiuser wireless transmissions based on orthogonal frequency division multiplexing (OFDM). Relying convex and stochastic optimization tools, the novel approach to resource includes: i) development of jointly optimal subcarrier, power, rate weighted sum-average-rate maximization; ii) judicious formulation derivation maximizing utility average user rates; iii) schemes, rigorous proof their convergence optimality. Simulations also...

The advancements in smart power grid and the advocation of "green communications" have inspired wireless communication networks to harness energy from ambient environments operate an energy-efficient manner for economic ecological benefits. This article presents a contemporary review recent breakthroughs on utilization, redistribution, trading planning harvested future interoperating with grids. starts classical models renewable harvesting technologies. We embark constrained operation...

Distributed machine learning (DML) techniques, such as federated learning, partitioned and distributed reinforcement have been increasingly applied to wireless communications. This is due improved capabilities of terminal devices, explosively growing data volume, congestion in the radio interfaces, increasing concern privacy. The unique features systems, large scale, geographically dispersed deployment, user mobility, massive amount data, give rise new challenges design DML techniques. There...

It is very difficult to establish and maintain end-to-end connections in a vehicle ad hoc network (VANET) as result of high speed, long inter-vehicle distance, varying density. Instead, store-and-forward strategy has been considered for communications. The success this strategy, however, depends heavily on the cooperation among nodes. Different from exiting solutions, we propose predictive routing based hidden Markov model (PRHMM) VANETS, which exploits regularity moving behaviors increase...

With excellent flexibility, unmanned aerial vehicles (UAVs) can act as airborne computing servers to assist smart terminals (STs) with their computationally-intense and delay-sensitive tasks. This paper presents a new UAV-assisted edge framework, which jointly optimizes the trajectory CPU frequency of fixed-wing UAV, offloading schedule minimize energy consumption UAV. The key idea is that we reveal condition for convexity optimization, when UAV flies linear trajectory. Under condition,...

Integrating mobile-edge computing (MEC) and wireless power transfer (WPT) is a promising technique in the Internet of Things (IoT) era. It can provide massive low-power mobile devices with enhanced computation capability sustainable energy supply. In this paper, we consider powered multiuser MEC system, where multi-antenna access point (AP) (integrated an server) broadcasts to charge multiple users each user node relies on harvested execute latency-sensitive tasks. With MEC, these their...

Internet of Things (IoT) envisions an intelligent infrastructure networked smart devices offering task-specific monitoring and control services. The unique features IoT include extreme heterogeneity, massive number devices, unpredictable dynamics partially due to human interaction. These call for foundational innovations in network design management. Ideally, it should allow efficient adaptation changing environments, low-cost implementation scalable a subject stringent latency constraints....

For massive machine-type communications, centralized control may incur a prohibitively high overhead. Grant-free non-orthogonal multiple access (NOMA) provides possible solutions, yet poses new challenges for efficient receiver design. In this paper, we develop joint user identification, channel estimation, and signal detection (JUICESD) algorithm. We divide the scheme into two modules: slot-wise multi-user (SMD) combined estimation (CSCE). SMD is designed to decouple transmissions of...

The development of applications based on artificial intelligence and implemented over wireless networks is increasingly rapidly expected to grow dramatically in the future. resulting demand for aggregation large amounts data has caused serious communication bottlenecks particularly at network edge. Over-the-air federated learning (OTA-FL), leveraging superposition feature multi-access channels (MACs), enables users edge share spectrum resources achieves efficient low-latency global model...

In this paper, we address the rate control problem in a multi-hop random access wireless network, with objective of achieving proportional fairness amongst end-to-end sessions. The is considered framework nonlinear optimization. Compared to its counterpart wired network where link capacities are assumed be fixed, much more complex and requires joint optimization at both transport layer layer. This due fact that attainable throughput on each `elastic' typically non-convex non-separable...

A cross-layer design is developed for quality-of-service (QoS)-guaranteed traffic. The novel jointly exploits the error-correcting capability of truncated automatic repeat request (ARQ) protocol at data link layer and adaptation ability adaptive modulation coding (AMC) scheme physical to optimize system performance QoS-guaranteed queuing behavior induced by both ARQ AMC analyzed with an embedded Markov chain. Analytical expressions metrics such as packet loss rate, throughput, average delay...

The Sybil attack is one of the serious attacks to Vehicular Ad Hoc Networks (VANETs), because it severely damages security VANETs and, even leads a threat lives drivers and passengers. In this paper, we propose solution detect based on differences between normal motion trajectories vehicles abnormal ones. our approach, each node can accomplish detection independently with limited assistance from infrastructures VANETs. We improve feasibility approach at early deployment stages addition,...

A large number of geo-distributed data centers begin to surge in the era deluge and information explosion. To meet growing demand massive processing, infrastructure future must be energy-efficient sustainable. Facing this challenge, a systematic framework is put forth paper integrate renewable energy sources (RES), distributed storage units, cooling facilities, as well dynamic pricing into workload management tasks center network. cope with RES uncertainty, resource allocation task...

While the quest of end users for fast and convenient Internet services grows steadily, energy-hungry data centers correspondingly expand in both numbers scale - a fact that raises global warming climate change concerns. In addition, high penetration renewables, development energy-efficient cooling facilities, flexibility distributed storage units, all call system-wide energy workload management policy future sustainable centers. As implementing offline policies is practically infeasible due...

Owing to the ubiquitous penetration of Wi-Fi in our daily lives, indoor localization has attracted intensive attentions last decade or so. Despite some significant progresses, high accuracy existing systems is still achieved at cost dense access point (AP) deployment. The more practical single AP largely left as an open problem because hardware-induced time delay "contaminates" measurement signal propagation air. In this article, we design and implement M <sup...