The recent upsurge of diversified mobile applications, especially those supported by AI, is spurring heated discussions on the future evolution wireless communications. While 5G being deployed around world, efforts from industry and academia have started to look beyond conceptualize 6G. We envision 6G undergo an unprecedented transformation that will make it substantially different previous generations cellular systems. In particular, go Internet be required support ubiquitous AI services...

In this paper, we consider delay-optimal charging scheduling of the electric vehicles (EVs) at a station with multiple charge points. The is equipped renewable energy generation devices and can also buy from power grids. uncertainty arrival EV, intermittence energy, variation grid price are taken into account described as independent Markov processes. Meanwhile, required for each EV random. goal to minimize mean waiting time EVs under long-term constraint on cost. We propose queue mapping...

Increasing the battery-recharge period of smartphones is becoming a challenge since their power consumption increased as result enhanced functions that require sophisticated multimedia signal processing. An attractive solution constituted by wireless charging, which capable replenishing battery over ether. Given this motivation, we present fundamental physics and related system structure promising charging technique, i.e., distributed laser (DLC). Relying on DLC's unique features, may be...

Intelligent Internet of Things (IoT) will be transformative with the advancement artificial intelligence and high-dimensional data analysis, shifting from "connected things" to intelligence." This shall unleash full potential intelligent IoT in a plethora exciting applications, such as self-driving cars, unmanned aerial vehicles, healthcare, robotics, supply chain finance. These applications drive need develop revolutionary computation, communication, technologies that can make low-latency...

Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving fast model aggregation by exploiting the waveform superposition property multiple access channels. However, performance severely limited unfavorable wireless propagation In this paper, we propose to leverage intelligent reflecting surface (IRS) achieve yet reliable for AirComp-based FL. To optimize performance, formulate an optimization problem that jointly optimizes device selection, beamformer at base...

As we head towards the IoT (Internet of Things) era, protecting network infrastructures and information security has become increasingly crucial. In recent years, Anomaly-Based Network Intrusion Detection Systems (ANIDSs) have gained extensive attention for their capability detecting novel attacks. However, most ANIDSs focus on packet header omit valuable in payloads, despite fact that payload-based attacks ubiquitous. this paper, propose a intrusion detection system named TR-IDS, which...

The emergence of the D2D communications paradigm has transformed way in which cellular networks are operated. Previous work communications, however, mainly focused on interference management and capacity maximization both links links. Recent literature observed that QoE can be greatly enhanced by caching contents mobile devices, with a carefully designed strategy. In this article, we propose novel hypergraph framework designs based communication scheme taking social ties among users common...

The explosive growth of mobile multimedia traffic calls for scalable wireless access with high quality service and low energy cost. Motivated by the emerging harvesting communications, trend caching contents at edge user terminals, we propose a paradigm shifting framework, GreenDelivery, enabling efficient content delivery based small cells. To resolve two-dimensional randomness request arrivals, proactive push are jointly optimized, respect to popularity distribution battery states. We thus...

Internet of Things (IoT) technology suffers from the challenge that rare wireless network resources are difficult to meet influx a huge number terminal devices. Cache-enabled device-to-device (D2D) communication is expected relieve pressure with fact requesting contents can be easily obtained nearby users. However, how design an effective caching policy becomes very challenging due limited content storage capacity and uncertainty user mobility pattern. In this article, we study jointly cache...

Distributed storage that leverages cellular device-to-device (D2D) underlay has attracted rising research interest due to its potential offload traffic, improve spectral efficiency and energy efficiency, reduce transmission delay. This paper investigates the overall cost minimization problem based on a content encoding strategy download new item or repair lost in D2D-based distributed systems while guaranteeing users' quality of service. In addition optimization coding parameters, also...

The Internet of Things (IoT) technology has recently drawn more attention due to its ability achieve the interconnections massive physic devices. However, how provide a reliable power supply energy-constrained devices and improve energy efficiency in wireless powered IoT (WP-IoT) is twofold challenge. In this paper, we develop novel transmission (WPT) system, where an unmanned aerial vehicle (UAV) equipped with radio frequency transmitter charges A machine learning framework echo state...

The characteristics of a single-feed dual-frequency compact microstrip antenna with shorting pin are studied experimentally. Besides the compactness antenna, this design can provide high frequency ratio > 3.0 between two operating frequencies. Typical experimental results proposed presented and discussed.

For transmitting data in a secret and energy-efficient manner collaborative amplify-and-forward relay networks, the secure energy efficiency (EE) defined as bits transferred with unit is maximized to satisfy each node power constraint target secrecy rate requirement, based on physical security framework. The EE by joint source allocation, which nonconvex optimization problem. To cope this difficulty, solution scheme corresponding algorithms are developed jointly applying fractional...

The idle computing resources of parked vehicles could be utilized to improve performance by assisting task executions in mobile edge (MEC) systems. As a result, the owner vehicle compensated, resulting win-win situation. A dynamic pricing strategy is proposed minimize average cost MEC system under constraints on quality service adjusting price constantly based current state. To do so, minimization problem solved obtain optimal efficiently. Finally, optimization results are validated with...

In this paper, energy-efficient secure communications via untrusted two-way relaying are investigated considering physical layer security to prevent the relays from intercepting confidential information of users. The performance metric energy efficiency (EE), defined as ratio secrecy sum rate total power consumption, is maximized by jointly optimizing allocation for all nodes, with constraints maximum allowed and minimum target rate. To deal intractable nonconvex optimization problem, some...

Attracted by the advantages of multi-access edge computing (MEC) and non-orthogonal multiple access (NOMA), this article studies resource allocation problem a NOMA-MEC system in an ultra-dense network (UDN), where each user may opt for offloading tasks to MEC server when it is computationally intensive. Our optimization goal minimize computation cost, concerning energy consumption task delay users. In order tackle non-convexity issue objective function, we decouple into two sub-problems:...

Mobile edge computing (MEC) is a promising technique to improve the quality of computation experience for mobile devices by providing resources in their close proximity. However, design scheduling policies MEC systems inevitably encounters challenging optimization problem that should take both transmissions and computations into consideration. In particular, how jointly schedule adapt cross-layer system dynamics, i.e., random task arrivals channel state variations. We formulate this as joint...

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property multiple-access channels. However, performance AirComp bottlenecked by worst channel condition among all links between IoT devices and access point. In this paper, reconfigurable intelligent surface (RIS) assisted system proposed to boost received signal power thus mitigate bottleneck reconfiguring propagation...

This article investigates simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted downlink multiuser multiple-input–single-output (MU-MISO) networks with the rate splitting multiple access (RSMA) scheme. A base station (BS) desires to simultaneously transmit messages users assistance of an STAR-RIS enhance communication quality as well extend coverage users. An optimization problem is formulated maximize achievable sum on premise satisfying constraints...

Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) model for multiple integrated systems (IEHSs). Flexible reserve resources in IEHS are exploited mitigate uncertainty of renewable energy. A distributed parallel DRCC framework is developed preserve decision-making independence IEHSs, where optimized CVaR...

Network coding is an emerging and powerful solution that can significantly improve the throughput power efficiency of wireless networks by allowing mixing various traffic flows via algebraic operations. With network coding, however, a packet has to wait be network-coded with others given stochastic nature arrival process flows. This may result in large delay packet-loss rate. To overcome this limitation, novel approach, which we shall refer as opportunistic (ONQ, presented paper. In proposed...

Node cooperation is an emerging and powerful solution that can overcome the limitation of wireless systems as well improve capacity next generation networks. By forming a virtual antenna array, node achieve high diversity gains by using several partners to relay transmitted signals. There has been lot work on improving link performance in cooperative networks advanced signal processing or power allocation methods among single source its relays. However, resource multiple nodes not received...

Pushing along with proactive caching, in which content items are transmitted prior to being requested by a user, holds the promise of trading scalable storage resources for substantial throughput increase content-centric networks. In this paper, joint pushing and caching (JPC) method is studied, determines when be pushed to, removed from, receiver buffer based on request delay information (RDI) that predicts user's time certain items. Both offline online JPC policies noncausal, statistical,...

This paper studies online power control policies for outage minimization in a fading wireless link with energy harvesting transmitter and receiver. The occurs when either the or receiver does not have enough energy, channel is outage, where only has distribution information. Under infinite battery capacity without retransmission, we prove that threshold-based are optimal. We thus propose disjoint/joint state sharing between receiver, respectively. also analyze impact of practical detection...