In the current researches, artificial intelligence (AI) plays a crucial role in resource management for next generation wireless communication network. However, traditional RL cannot solve continuous and high dimensional problems. To handle these problems, concept of deep neural network (DNN) is introduced into to this paper, we first construct an information interaction model among primary user (PU), secondary (SU) sensors cognitive radio system. model, SU unable get power allocation PU,...

In this paper, multi-UAVs serve as mobile aerial ISAC platforms to sense and communicate with on-ground target users. To optimize the communication sensing performance, we formulate a joint user association, UAV trajectory planning power allocation problem maximize minimum weighted spectral efficiency among UAVs. This paper exploits centralized decentralized deep reinforcement learning (DRL) solutions solve sequential decision-making problem. On one hand, first introduce soft actor-critic...

Network coverage and capacity optimization is an important operational task in cellular networks. The network maximization by adjusting azimuths tilts of antennas focused the existing approaches are mainly gradient-free methods. A standard gradient descent algorithm its improved version, namely a Stochastic Gradient Descent (SGD) proposed on basis novel indicator, named as soft to approximate hard version original indicator. We prove that vector sparse, which accelerates calculation, due...

Unmanned Aerial Vehicle (UAV) Base Station (BS) placement optimization is an essential operational task to improve the Quality of Service (QoS) in UAV-aided wireless cellular networks. The existing approaches are almost zeroth order methods, and few first methods mainly ignore allocation fairness, computational efficiency, backhaul constraints. In this paper, we formulate UAV problem as a constrained problem, with objective maximizing fair coverage versus energy consumption while satisfying...

The overwhelming increase of ubiquitous data, connections, and services brings serious challenges, in particular facing the demanding requirements Internet Things (IoT). In order to seek better solutions achieve more efficient information retrieval, artificial intelligence (AI) serves as a strong technical earthquake contributes lot data analysis decision making. It plays compelling role prompting digital intelligent services. this article, we focus on emphasize great significance pertaining...

Clock synchronization is critical for Wireless Sensor Networks (WSNs) due to the need of inter-node coordination and collaborative information processing. Although many message passing protocols can achieve satisfactory clock accuracy, they incur prohibitively high overhead when network scales more than tens nodes. An alternative approach take advantage global time reference induced by existing infrastructures including GPS, timekeeping radio stations, or power grid. However, consumption...

To address the problem of a serious Internet Things (IoT) talent shortage, Chinese government is encouraging universities and institutions to establish major in IoT Engineering train high-level talent. Since 2011, 700 have established undergraduate programs. We surveyed history, status, curriculum, problems degree programs China. Based on data collected from faculties, students, graduates, we found that curriculum was an unsystematic patchwork deficient practical platforms. then provide...

In a wireless sensor network for data-gathering applications, if all data congregate to stationary sink node hop by hop, the nodes near have consume more energy on forwarding other nodes, which probably causes early function loss of network. Employing mobile can alleviate hotspot problem and balance consumption among nodes. this paper, we propose two autonomous moving schemes sink. our schemes, makes decisions without complete knowledge topology distribution We evaluated performance...

Breast cancer is one of the most common cancers diagnosed in women. For preventive diagnosis, feature selection an essential step to construct breast classifier. The features a real dataset are usually composed discrete and continuous ones. Also, Area Under Curve (AUC) receiver operating characteristic receives more attention such medical field. existing research work insufficient take into account both hybrid trait specific classification objective. We have proposed wrapper method, i.e.,...

This study examined the predictability of EFL teachers’ self-efficacy on their motivational teaching behaviors. Participants involved 112 English teachers from China’s tertiary education institutes selected by a “snowball” sampling strategy and also an teacher training camp. They completed questionnaire survey demographic information participants, perception self-efficacy, behaviors in classroom. Results descriptive statistics multiple regression analysis were generated based survey. It...

Mobile-edge computing (MEC) as a promising technology enables it to satisfy ever-increasing demands for low-latency and ultrareliable services. However, due the limitations of capability dynamic network environment, is challenging process massive data with low latency. In this article, we consider MEC high-performance edge server, multiple time-varying channels, mobile devices. We aim find policy that can maximize processing success rate computational tasks fairness index system while...

Ultra dense heterogeneous network (UDHN) has become one of the main frameworks 5G. Traditional user association methods are difficult to satisfy this new scenario for load balancing. On other hand, concept green communication requires increase energy efficiency. Therefore, it is necessary study power allocation and in UDHN. This paper focuses on balancing efficiency The joint modelled as an appropriate optimization problem. Then we introduce reinforcement learning propose a multiagent...

During the phase of Base Station (BS) deployment, BS placement, as an essential issue in achieving seamless coverage existing, even future version cellular networks, should be attached extensive attention. The ignorance geometric distribution candidate sites results negative impact on performance traditional meta-heuristic algorithms related to base station placement problem. A novel geometry-induced genetic algorithm is proposed efficient solution problem based both local evaluation and...

Mobile edge computing (MEC) has attracted widespread attention due to its ability effectively alleviate the cloud load and significantly reduce latency. However, potential eavesdroppers challenge security of MEC systems rapid development artificial intelligence (AI) made this situation more severe. In most existing studies, are non-intelligent it is assumed that they fixed or move in a simple manner. Obviously, there gap from such an assumption real conditions eavesdropping unmanned aerial...

Unmanned aerial vehicles (UAVs) and drones are considered to represent a flexible mobile platform collect data in various applications. However, the existing collection methods mainly consider uplink communication. The burgeoning development of integrated sensing communication (ISAC) provides new paradigm for collection. A diverse framework is established where functions both considered, which can also be referred as ISAC system. An optimization formulated minimize freshness indicator...

Wireless sensor networks usually are deployed in the complex environments and take a long time to run without human intervention. In addition, nodes have limited resources use unstable wireless link for communication, which cause various problems actual operation. Therefore, real-time monitoring tools needed maintain operation of networks, capable network operating conditions, assessing performance, detecting failure optimizing A packet sniffing tool (NSSN) is presented implemented this...

Inter symbol interference (ISI) degrades the performance of intensity modulation and direct detection (IM/DD) transmission systems due to various transceiver channel impairments. To overcome ISI IM/DD systems, faster than Nyquist (DDFTN) algorithm has been widely used. However, when a system is subjected severe ISI, conventional DDFTN suboptimal. further improve modified proposed. We add least squares (LS) estimation after postfilter. The coefficients maximum likelihood sequence (MLSE) are...

Compared with centralized cloud computing, mobile edge computing (MEC) enables Internet of Things (IoT) devices to offload computation-intensive tasks the network closer them for processing, which can effectively save energy consumption IoT and alleviate congestion high latency problems. However, traditional terrestrial MEC system cannot adapt scenarios such as rapid recovery after disasters emergency rescue due its poor flexibility deployment cost, assembling servers unmanned aerial...