With the rapid development of smart terminals and infrastructures, as well diversified applications (e.g., virtual augmented reality, remote surgery holographic projection) with colorful requirements, current networks 4G upcoming 5G networks) may not be able to completely meet quickly rising traffic demands. Accordingly, efforts from both industry academia have already been put research on 6G networks. Recently, artificial intelligence (AI) has utilized a new paradigm for design optimization...

In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communication system for physical layer security, where IRS is deployed to adjust its elements guarantee of multiple legitimate users in the presence eavesdroppers. Aiming improve secrecy rate, a design problem jointly optimizing base station (BS)'s beamforming and IRS's formulated given different quality service (QoS) requirements time-varying channel condition. As highly dynamic complex, it challenging...

In this letter, we apply the non-orthogonal multiple access (NOMA) technique to improve achievable sum rate of multiple-input multiple-output (MIMO)-based multi-user visible light communication (VLC) systems. To ensure efficient and low-complexity power allocation in indoor MIMO-NOMA-based VLC systems, a normalized gain difference (NGDPA) method is first proposed by exploiting users' channel conditions. We investigate performance an 2×2 system through numerical simulations. The obtained...

Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for supporting data collection, machine learning (ML) model training, and wireless communications. However, due to the privacy concerns devices limited computation or communication resource UAVs, it is impractical send raw UAV servers training. Moreover, dynamic channel condition heterogeneous computing capacity in UAV-enabled networks, reliability efficiency sharing require be further improved. In this...

Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications. With this focus, paper considers use an intelligent reflecting surface (IRS) to enhance anti-jamming communication performance and mitigate interference adjusting elements at IRS. Aiming against a jammer, optimization problem for jointly optimizing power allocation base station (BS) beamforming IRS is formulated while...

Smart factory under Industry 4.0 and industrial Internet of Things (IoT) has attracted much attention from both academia industry. In wireless networks, IoT devices have different quality-of-service (QoS) requirements, ranging ultra-reliable low-latency communications (URLLC) to high transmission data rates. These networks will be highly complex heterogeneous, as well the spectrum energy resources are severely limited. Hence, this article presents a heterogeneous radio frequency (RF)/visible...

Internet of Vehicles (IoV) has attracted much interest recently due to its ubiquitous message exchange and content sharing among smart vehicles with the development mobile communication computation technologies. In this paper, we investigate policy for jointly mode selection, resource block assignment, power control in device-to-device-enabled vehicle-to-vehicle (V2V) based IoV networks purpose guaranteeing strict ultra-reliable low latency communications requirements V2V links while...

Due to severe inter-cell interference (ICI), the signal-to-interference-and-noise ratio (SINR) suffers from very significant fluctuation in indoor multi-cell visible light communication (VLC) systems, which greatly limits overall system performance. In this paper, we propose and evaluate a generalized angle diversity receiver (ADR) structure reduce SINR VLC systems. The ADR consists of one top detector multiple inclined side detectors. an using ADR, inclination detectors is optimized order...

In order to realize the full potential of wireless edge artificial intelligence (AI), very large and diverse datasets will often be required for energy-demanding model training on resource-constrained devices. This paper proposes a lead federated neuromorphic learning (LFNL) technique, which is decentralized energy-efficient brain-inspired computing method based spiking neural networks. The proposed technique enable devices exploit brain-like biophysiological structure collaboratively train...

This paper investigates the problem of distributed resource management in two-tier heterogeneous networks, where each cell selects its joint device association, spectrum allocation, and power allocation strategy based only on locally-observed information without any central controller. As optimization with devices' quality-of-service (QoS) constraints is non-convex NP-hard, we model it as a Markov decision process (MDP). Considering fact that network highly complex large state action spaces,...

With the rapid development of maritime activities, efficient and reliable communications have attracted ever-increasing attention, mounting reconfigurable intelligent surface (RIS) on unmanned aerial vehicle (UAV), called UAV-RIS, can provide flexible adaptable services for communications. In this paper, we investigate a UAV-RIS-assisted communication system under malicious jammer, where UAV-RIS is deployed to jointly adjust its placement RIS elements maximize energy efficiency (EE)...

This paper studies the problem of energy charging using a robust Stackelberg game approach in power system composed an aggregator and multiple electric vehicles (EVs) presence demand uncertainty, where EVs are considered to be leader followers, respectively. We propose two different approaches under uncertainty: noncooperative optimization cooperative design. In approach, we formulate as competitive among self-interested EVs, each EV chooses its own strategy maximize benefit selfishly....

With the rapid development of Internet Things (IoT) in smart city, grid, and industry, indoor communication positioning are important for IoT. However, radio-frequency (RF)-based wireless networks may fail to guarantee different quality-of-service (QoS) requirements devices, due limited bandwidth, severe interference, multipath reflections. Hence, this article presents a new integrated visible light (VLC) VLC (VLCP) network IoT provide both high-speed high-accuracy services. As consists...

Visible light communication (VLC) systems utilizing conventional superposition coding/successive interference cancellation (SPC/SIC)-based non-orthogonal multiple access (NOMA) suffer from the error propagation effect due to imperfect SIC. In this letter, we propose a flexible-rate SIC-free NOMA technique for downlink VLC systems, based on constellation partitioning coding (CPC) and uneven demapping (UCD). By using CPC/UCD, SIC is not required hence can be eliminated in NOMA-based systems....

With the rapid deployment of Internet Things (IoT), fifth-generation (5G) and beyond 5G networks are required to support massive access a huge number devices over limited radio spectrum radio. In wireless networks, different have various quality-of-service (QoS) requirements, ranging from ultra-reliable low latency communications (URLLC) high transmission data rates. this context, we present joint energy-efficient subchannel assignment power control approach manage requests while maximizing...

With the widespread deployment of Internet Things (IoT), more and devices are involved in wireless networks, fifth generation (5G) network requires to support massive connectivity diverse services for huge number IoT devices. Visible light communications (VLC) visible positioning (VLP) two promising supplementary technologies assist 5G networks connectivity, high reliability, data rate, accuracy, low latency, power consumption improved security IoT. Hence, this article presents a multi-layer...

Internet of Things (IoT) has attracted much interest due to its wide applications, such as smart city, manufacturing, transportation, and healthcare. Social cognitive IoT is capable exploiting social networking characteristics optimize network performance. Considering the fact that devices have different Quality-of-Service (QoS) requirements [ranging from ultrareliable low-latency communications (URLLCs) minimum data rate], this article presents a QoS-driven social-aware-enhanced...

With the widespread deployment of wireless technologies and IoT, 5G networks will support various communication connectivity services for huge number smart/ intelligent devices machines. The challenge lies in assisting to intelligently learn experience, autonomously optimize network configurations smartly make decisions massive smart with minimum human intervention, so diverse colorful service requirements can be satisfied optimum performance. Machine learning, as one powerful artificial...

The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal multiple access (NOMA) is a promising solution to improve efficiency spectral the upcoming beyond fifth generation network (B5G), especially for support wireless sensor communications in Internet things (IoT) system. However, how realize intelligent frequency, time, resource allocation better performances an important problem be solved. In this paper, we study joint spectrum, energy, time management...

Wireless body area networks (WBANs) are vulnerable to active eavesdropping that simultaneously perform sniffing and jamming raise the sensor transmit power, thus steal more healthcare data. In this paper, we propose an intelligent reflecting surface (IRS)-aided reinforcement learning (RL) based secure WBAN transmission scheme enables coordinator jointly optimize encryption key as well IRS phase shifts against eavesdropping. A Dyna architecture is designed improve efficiency with simulated...

Collaborative inference in mobile edge computing (MEC) enables devices to offload the computation tasks for computation-intensive perception services, and policy determines latency energy consumption. The optimal depends on performance model of deep learning, data generation network that are rarely known by time. In this paper, we propose a multi-agent reinforcement learning (RL) based energy-efficient MEC collaborative scheme, which each device choose both partition point image quantity,...

The cognitive Internet of Things (CIoT) has attracted much interest recently in wireless networks due to its wide applications smart cities, intelligent transportation systems, and metering networks. However, how smartly schedule the packet transmission CIoT systems is still a key challenge, that is, design agent realize decision making effective interoperability. In this paper, we model system state transformation as Markov process, an actor-critic deep reinforcement learning algorithm...

Unmanned aerial vehicles (UAVs) have attracted much attention recently in wireless communication networks due to their low-cost and flexible deployment. In this paper, we address the energy-efficient joint scheduling resource management UAV-enabled multicell networks, where multiple UAVs act as base stations (BSs) serve ground devices. We devise that jointly solve problem of optimizing UAVs' locations management, order maximize network energy efficiency (EE). Accordingly, propose two...

The Industrial Internet of Things (IIoT) has attracted tremendous interest from both industry and academia as it can significantly improve production efficiency system intelligence. However, with the explosive growth various types user equipment (UE) data flow, IIoT experiences spectrum resource scarcity for wireless applications. In this article, we propose a solution management network, objective facilitating limited sharing between different kinds UEs. To overcome challenges unknown...

In this paper, a 3D indoor visible light positioning (VLP) system with fast computation time using received signal strength (RSS) is proposed and experimentally demonstrated. Assisted by the deep learning techniques, complexity of trilateration problem greatly reduced, can be formulated as linear mapping leading to faster position estimation than conventional estimation. Moreover, new method off-line preparation adopted minimize workload VLP deployment for more practical usage. The...