Mobile-edge computing (MEC) and wireless power transfer are two promising techniques to enhance the computation capability prolong operational time of low-power devices that ubiquitous in Internet Things. However, performance harvested energy significantly impacted by severe propagation loss. In order address this issue, an unmanned aerial vehicle (UAV)-enabled MEC wireless-powered system is studied paper. The rate maximization problems a UAV-enabled powered investigated under both partial...

Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have been deemed two promising technologies due to their potential achieve high spectral efficiency massive connectivity. This paper studies a multiple-input single-output NOMA CR network relying on simultaneous wireless information power transfer conceived for supporting population of limited battery-driven devices. In contrast most the existing works, which use an ideally linear energy harvesting model, this study applies more...

A multiple-input single-output cognitive radio downlink network is studied with simultaneous wireless information and power transfer. In this network, a secondary user coexists multiple primary users energy harvesting receivers. order to guarantee secure communication harvesting, the problem of robust artificial noise-aided beamforming splitting design investigated under imperfect channel state (CSI). Specifically, transmit minimization max-min fairness are formulated for both bounded CSI...

Unmanned aerial vehicle (UAV)-enabled communication networks are promising in the fifth and beyond wireless systems. In this paper, we shed light on three UAV-enabled mobile edge computing (MEC) architectures. Those architectures have been receiving ever increasing research attention for improving computation performance decreasing execution latency by integrating UAV into MEC networks. We present a comprehensive survey state-of-the-art domain. Important implementation issues clarified....

Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies maximizing the efficiency are critically important. In this paper, maximization problems formulated in wireless-powered MEC networks under both partial and binary offloading modes. A practical non-linear energy harvesting model considered. Both time division multiple access (TDMA) non-orthogonal (NOMA) considered evaluated offloading. The time, local frequency, power...

The explosive growth of mobile devices and the rapid increase wideband wireless services call for advanced communication techniques that can achieve high spectral efficiency meet massive connectivity requirement. CR NOMA are envisioned to be important solutions fifth generation networks. Integrating into CRNs has tremendous potential improve system capacity. However, there many technical challenges due severe interference caused by using NOMA. Many efforts have been made facilitate...

Mobile edge computing (MEC) has been envisaged as a promising technique in the next-generation wireless networks. In order to improve security of computation tasks offloading and enhance user connectivity, physical layer non-orthogonal multiple access (NOMA) are studied MEC-aware The secrecy outage probability is adopted measure performance by considering practically passive eavesdropping scenario. weighted sum-energy consumption minimization problem firstly investigated subject rate...

This paper proposes a new algorithm to evaluate the performance of mobile edge computing system. Specifically, metric called computation efficiency is defined as number calculated data bits divided by corresponding energy consumption. In order compute required timely, we combine two schemes, local and offloading, into joint algorithm. An optimization problem formulated with objective maximize sum among users weighting factors. With iterative gradient descent methods, can be solved...

With the emergence of diverse mobile applications (such as augmented reality), quality experience users is greatly limited by their computation capacity and finite battery lifetime. Mobile edge computing (MEC) wireless power transfer are promising to address this issue. However, these two techniques susceptible propagation delay loss. Motivated chance short-distance line-of-sight achieved leveraging unmanned aerial vehicle (UAV) communications, an UAV-enabled powered MEC system studied. A...

The emergence of mobile edge computing (MEC) and unmanned aerial vehicles (UAVs) is great significance for the prospective development Internet Things (IoT). additional computation capability extensive network coverage provide energy-limited smart devices (SMDs) with more opportunities to experience diverse intelligent applications. In this paper, a efficiency maximization problem formulated in multi-UAV assisted MEC system, where both bits energy consumption are considered. Based on partial...

Mobile Edge Computing (MEC) is a promising technology in the next generation network, which provides computing services for user equipments (UEs) to reduce task delay and prolong usage time of UEs. To address deficiency poor channel quality caused by multipath blockages traditional MEC networks, multiple input single output (MISO) UAV-assisted network studied. A system energy consumption minimization problem formulated jointly optimizing UAV's beamforming vectors, central processing unit...

This paper investigates a wireless powered sensor network, where multiple nodes are deployed to monitor certain external environment. A multiantenna power station (PS) provides the these during energy transfer phase, and consequently employ harvested transmit their own monitoring information fusion center (WIT) phase. The goal is maximize system sum throughput of two different scenarios considered, i.e., PS belong same or service operator(s). For first scenario, we propose global optimal...

H-CRANs are envisioned to be promising in 5G wireless networks. enable users enjoy diverse services with high energy efficiency, spectral and low-cost operation, which achieved by using cloud computing virtualization technologies. However, face many technical challenges due massive user connectivity, increasingly severe spectrum scarcity, penetration of energy-constrained devices. These may significantly degrade network performance quality service if not properly tackled. NOMA schemes...

Cognitive satellite–terrestrial networks (CSTNs) have been recognized as a promising network architecture for addressing spectrum scarcity problem in next-generation communication networks. In this paper, we investigate the secure transmission CSTNs where terrestrial base station serving green interference resource is introduced to enhance security of satellite link. Adopting stochastic model channel state information uncertainty, propose and robust beamforming framework minimize transmit...

Green communications is an inevitable trend for future communication network design, especially a cognitive radio network. Power allocation strategies are of crucial importance green networks. However, energy-efficient power in networks have not been fully studied. Energy efficiency maximization problems analyzed delay-insensitive radio, delay-sensitive and simultaneously where secondary user coexists with primary the channels fading. Using fractional programming convex optimization...

This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied splitting architecture adopted at each secondary user (SU). Since it difficult to obtain perfect channel state (CSI) in practice, instead either bounded or Gaussian CSI error considered. Our robust beamforming ratio are jointly designed for two problems with different...

Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer security can be limited channel conditions. In order to tackle this problem, an intelligent reflecting surface (IRS) assisted multiple input single output (MISO) network with independent cooperative jamming is studied. The maximized jointly designing transmit beamforming IRS phase-shift matrix under both perfect state...

This work exploits the potential of a novel simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) in improving security multiple-input single-output (MISO) network, where three protocols, namely, energy splitting (ES), mode selection (MS), time (TS), are studied. The objective is to maximize weighted sum secrecy rate (WSSR) by jointly designing beamforming (BF) transmitting reflecting coefficients (TARCs). A path-following based technique first developed...

This paper develops a tractable analysis framework to evaluate the reliability and security performance of cooperative non-orthogonal multiple access (co-NOMA) in cognitive networks, where both primary base station (PBS) NOMA-strong user (PU) send confidential messages uniformly distributed PUs presence randomly located external eavesdroppers. For constricting interference imposed by femto stations (CFBSs), mobile association scheme is introduced. Moreover, an eavesdropper-exclusion zone...

Energy-efficient computation is important in mobile edge computing (MEC) systems. However, the efficiency problem unmanned aerial vehicle (UAV)-enabled MEC systems has been rarely researched. In this paper, a UAV-enabled system under partial offloading mode investigated. The maximized by jointly optimizing times, central processing unit frequencies, transmit powers of user and trajectory UAV. For non-convex problem, two-stage iterative algorithm proposed. Moreover, we derive closed-form...

This paper studies an intelligent reflecting surface (IRS) aided wireless powered sensor network (WPSN). Specifically, a power station (PS) provides energy to multiple internet of thing (IoT) devices which supports them deliver their own messages access point (AP). Moreover, we deploy IRS enhance the performance WPSN by intelligently adjusting phase shift each element. To evaluate assisted WPSN, maximize its sum throughput jointly optimize matrices and transmission time allocations. Due...

Visible light communication (VLC) and non-orthogonal multiple access (NOMA) are deemed two promising technologies in the next generation wireless systems achieving high capacity massive connectivity. In this paper we study performance of a NOMA-enabled VLC system using different modulation schemes. particular level bit error rate (BER) is derived for Conventional methods used analyzing BER under orthogonal cannot be directly applied to NOMA. order obtain closed-form expressions systems, an...

We propose a novel non-orthogonal multiple access (NOMA)-inspired jamming and relaying scheme to enhance the physical layer security of untrusted relay networks. Particularly, during first phase, with application downlink NOMA principle, source sends superimposed version desired signal signal, where is designed deliberately confuse by exploiting beamforming design adapting transmission rate at source. During second relying on uplink forwards its received signals and, simultaneously,...

Energy detection is of crucial importance in cognitive radio networks. However, its performance poor when the channel fading severe, which causes interference to primary users. In order tackle this issue, an intelligent reflecting surface (IRS)-enhanced energy for spectrum sensing proposed. Both cases with and without direct link between user secondary are considered. By using Gamma distribution approximation central limit theorem, closed-form expressions average probability derived. further...

This paper aims to investigate the benefit of using intelligent reflecting surface (IRS) in multi-user multiple-input single-output (MU-MISO) systems, presence eavesdroppers. We maximize weighted sum secrecy rate by jointly designing secure beamforming (BF), artificial noise (AN), as well phase shift IRS. An alternating optimization (AO) method is proposed deal with formulated non convex problem. In particular, and AN jamming matrix are optimally designed via successive approximation (SCA)...