Immersive virtual reality (VR) video is becoming increasingly popular owing to its enhanced immersive experience. To enjoy ultrahigh resolution VR with wireless user equipments, such as head-mounted displays (HMDs), ultralow-latency viewport rendering, and data transmission are the core prerequisites, which could not be achieved without a huge bandwidth superior processing capabilities. Besides, potentially very high energy consumption at HMD may impede rapid development of panoramic video....

Unmanned aerial vehicles (UAVs) can be employed as base stations to support communication for the ground users (GUs). However, aerial-to-ground (A2G) channel link is dominated by line-of-sight (LoS) due high flying altitude, which easily wiretapped eavesdroppers (GEs). In this case, a single UAV has limited maneuvering capacity obtain desired secure rate in presence of multiple eavesdroppers. paper, we propose cooperative jamming approach letting jammers help transmitter defend against GEs....

Unmanned aerial vehicle (UAV) communications with mmWave band is a promising candidate for future communication systems due to its high reliability, excellent flexibility and large bandwidth availability. Nevertheless, the frequency makes UAV vulnerable blockage, which hinders application of communications. In this letter, we propose an efficient user scheduling method multi-UAVs blockage. First, explore angle space channel transmission Then, geometric analysis detect blockage in system....

The emerging backscatter communication technology is recognized as a promising solution to the battery problem of Internet Things (IoT) devices. For example, wireless sensor network with can monitor environment in remote areas without maintenance or replacement. Unfortunately, transmission range limited. To tackle this challenge, we propose multi-UAV-aided data collection scenario where unmanned aerial vehicle (UAV) fly close node (BSN) activate it and then collects data. We aim minimize...

Intelligent Reflecting Surface (IRS) holds promise for enhancing wireless channel propagation, especially in high-frequency bands like millimeter-wave (mmWave) that are prone to significant propagation losses and blockage effects. However, estimation poses challenges due passive nature of the IRS, high dimension matrix, need consider superposition direct between transceivers reflective through IRS. In this study, we explore adaptive robust estimator time-varying mmWave channels, considering...

Unmanned aerial vehicles (UAVs) will be extensively utilized in various Internet of Things (IoT) scenarios due to their flexible mobility and rapid on-demand deployment. It becomes necessary urgent investigate the secrecy performance UAV IoT communication systems because open characteristics wireless channels. In this article, physical layer security is studied, which a ground device transmits some confidential messages hovering air, while random number eavesdroppers are randomly positioned...

Recently, backscatter communication (BC) has been introduced as a green paradigm for Internet of Things (IoT). Meanwhile, unmanned aerial vehicles (UAVs) can serve base stations (BSs) to enhance the performance BC system thanks their high mobility and flexibility. In this paper, we investigate problem energy efficiency (EE) an energy-limited network, where devices (BDs) on ground harvest from wireless signal flying rotary-wing quadrotor. Specifically, first reformulate EE optimization Markov...

Mobile-edge computing (MEC) is considered as a promising technology to enable low latency applications while consuming less energy, and nonorthogonal multiple access (NOMA) regarded hopeful method of increasing spectrum efficiency the wireless network capacity. In this article, we consider NOMA-MEC-based Internet-of-Things (IoT) network, propose joint optimization framework maximize effective system capacity, i.e., number IoT devices whose tasks are processed successfully, meanwhile total...

This paper studies the energy efficiency (EE) maximization problem of fixed-wing Unmanned aerial vehicles (UAVs) enabled Internet Things (IoT) system, where an UAV is employed as relay with enough cache capacity to amplify and forward (AF) received signals between narrow band (NB)-IoT device eNodeB. optimizes unconstrained trajectory maximize EE UAV-enabled IoT system achieve green communication. Due objective function a fraction non-convex, it's hard solve optimization problem. Therefore,...

Industrial Internet of Things (IIoT) and fifth generation (5G) network have fueled the development Industry 4.0 by providing an unparalleled connectivity intelligence to ensure timely (or real time) optimal decision-making. Under this umbrella, edge is ready propel another ripple in industrial growth ensuring next performance. With recent proliferation blockchain, enters a new era, where each trains local learning model, then interconnecting whole models distributed blockchain manner, known...

Abstract Atmospheric pollution significantly impacts the regional economy and human health, its prediction has been increasingly emphasized. The performance of traditional methods is limited due to lack historical data support in new atmospheric monitoring sites. Therefore, this paper proposes a two-stage attention mechanism model based on transfer learning (TL-AdaBiGRU). First, first stage utilizes temporal distribution characterization algorithm segment air pollutant sequences into...

The future generation of wireless communication networks demands for high spectral efficiency to accommodate a large number devices over the limited available frequency spectrum. Device device (D2D) systems exploit channel reuse offer and reduce burden on infrastructure by facilitating between without involving base station. We can further enhance D2D employing non-orthogonal multiple access (NOMA) transmission signals. In NOMA signals users are transmitted same channel, simultaneously....

This letter presents two results for multiuser wireless systems employing dirty-paper coding strategies along with greedy scheduling over the broadcast multiple-input multiple-output channel. Specifically, an efficient and suboptimal downlink scheduler is proposed to approximate maximum sum rate using equal power allocation, it shown approach of optimal allocation a large number users under scheduling. The second result demonstrates that average can be tightly upper bounded when spatial...

Dynamic subarray achieves a compromise between the sum rate and hardware complexity of millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, in which antenna elements are dynamically partitioned to radio frequency (RF) chain according channel state information. However, most prior works on multi-user hybrid precoding only considered fully connected architecture or fixed architecture. In this paper, novel framework is proposed for dynamic Different from existing...

Unmanned aerial vehicles (UAVs) have been widely employed to enhance the end-to-end performance of wireless communications since links between UAVs and terrestrial nodes are Line-of-Sight (LoS) with high probability. However, broadcast characteristics signal propagation in LoS make them vulnerable being wiretapped by malicious eavesdroppers, which poses a considerable challenge security communications. In this work, we investigate underlay Internet Things (IoT) systems jointly designing...

The large bandwidth and multipath in millimeter wave (mmWave) cellular system assure the existence of frequency selective channels; it is necessary that mmWave remains with division multiple access (FDMA) user scheduling. But for hybrid beamforming system, analog implemented by same phase shifts entire band, wideband may not be harmonious all users scheduled resources. This paper proposes a joint scheduling multiuser algorithm downlink massive input output (MIMO) orthogonal (OFDMA) systems....