Satellite-terrestrial integrated networks (STINs) are considered to be a new paradigm for the next generation of global communication because its distinctive merits, such as wide coverage, high reliability, and flexibility. When satellite associates with different base stations (BSs) adopts channels communication, utility offloading data BSs is different. In our work, we study how jointly associate satellites appropriate allocate satellites. Our purpose maximize offloaded from while...

Vehicular Named Data Network (VNDN) is considered a strong paradigm to deploy in vehicular applications. In VNDN, each node has its cache, but due limited it directly affects the performance highly dynamic environment, which requires massive and fast content delivery. To reduce these issues, cooperative caching plays an efficient role VNDN. Most studies regarding focus on replacement algorithms implement methods static environment rather than environment. addition, few existing approaches...

The Satellite-Terrestrial Integrated Networks (STINs) is considered as a reliable and agile next-generation communication network scheme, because it flexible to deploy robust disasters (e.g., earthquakes, floods, volcanic eruptions). routing resource allocation directly affect the power consumption of satellites in STINs. However, most existing research works study these two issues separately, neglect impact path selection on satellite consumption. This paper investigates joint optimization...

Internet of Things (IoT) devices can reduce their energy consumption by computation offloading. However, IoT located in areas without deployed ground communication facilities face significant challenges For this reason, we propose the space-air-terrestrial integrated networks (SATINs) and design a three-tier computing framework for providing services to devices. In framework, device's task be computed locally, on mobile edge (MEC) servers air layer, or cloud ground. article, jointly optimize...

Satellite‐terrestrial integrated network (STIN) is an indispensable component of the Next Generation Internet (NGI) due to its wide coverage, high flexibility, and seamless communication services. It uses part satellite provide services users who cannot communicate directly in terrestrial network. However, existing routing algorithms ignore users’ request resources states Therefore, these effectively manage routing, leading congestion advance. To solve this problem, we model problem as a...

The traditional handover decision methods depend on the threshold and measurement reports, which cannot efficiently resolve frequent issue ping-pong effect in 5G (5 generation) ultradense networks. To reduce unnecessary improve QoS (quality of service), combine with analysis dwell time, we propose a state aware-based prioritized experience replay (SA-PER) method. First, cell time is computed by geometrical real-time locations mobile users cellular constructed aware sequence including SINR,...

Due to good maneuverability, UAVs and vehicles are often used for environment perception in smart cities. In order improve the efficiency of sensor data sharing UAV-assisted mmWave vehicular network (VN), this paper proposes a method based on blockage effect identification coding. The concurrent sending selection is proposed availability link, number target packet, distance between packet vehicle, vehicles, waiting time packet. construction coded put forward status information about existing...

The frequent handover and failure problems obviously degrade the QoS of mobile users in terrestrial segment (e.g., cellular networks) satellite‐terrestrial integrated networks (STINs). And traditional decision methods rely on historical data produce training cost. To solve these problems, deep reinforcement learning‐ (DRL‐) based are used management. In existing DQN‐based method, overestimates DQN method continue. Moreover, current adopt greedy strategy which lead to load imbalance problem...

Multi-behavior recommendation (MBR) has garnered growing attention recently due to its ability mitigate the sparsity issue by inferring user preferences from various auxiliary behaviors improve predictions for target behavior. Although existing research on MBR yielded impressive results, they still face two major limitations. First, previous methods mainly focus modeling fine-grained interaction information between users and items under each behavior, which may suffer issue. Second, models...

Abstract Efficient and emergency data dissemination service in vehicular networks (VN) is very important some situations, such as earthquakes, maritime rescue, serious traffic accidents. Data loss frequently occurs the transition due to unreliability of wireless channel there are no enough available UAVs providing for large disaster areas. UAV with an adjustable active antenna can be used light situation. However, assisted by needs corresponding effective framework. A UAV‐assisted method...

Effective emergency message dissemination is a great importance on specific road in vehicular networks (VN). The existing methods are not most efficient solutions for the curve road, which primarily focus highway and urban road. In order to improve efficiency of curved paper proposed method based bidirectional relay nodes. can be disseminated two directions simultaneously. designed node selection neighbor nodes’ coverage length Different waiting delays assigned nodes according cover...