It is widely acknowledged that network slicing can tackle the diverse usage scenarios and connectivity services 5G-and-beyond system needs to support. To guarantee performance isolation while maximizing resource utilization under dynamic traffic load, slice be reconfigured adaptively. However, it commonly believed fine-grained reconfiguration problem intractable due extremely high computational complexity caused by numerous variables. In this article, we investigate within a core with aim of...

Unmanned aerial vehicle (UAV) assisted wireless network has been recognized as an effective technology to facilitate the formation of a super flexible low-altitude platform for relieving strain on traditional ground cellular systems. However, on-demand deployment UAV-assisted networks (OWN) becomes essential yet challenging issue, constraints UAVs' location, resource provisioning, and demand distribution should be jointly considered. In this work, we investigate OWN problem by proposing...

Proactive reconfiguration of network slices according to uncertain traffic demands is essential improve resource utilization while ensuring service quality in 5G-and-beyond systems. Existing researches on slice are either model-driven or data-driven methods. However, methods may cause over-provisioning due a lack prediction mechanism, unrealistic inter-slice that involves costly and time-consuming operations such as VNF migration. To address these issues, this paper, we propose Hybrid...

With the emerging Internet of Things paradigm, massive Machine-Type Communication (mMTC) has been identified as one prominent services that enables a broad range applications with various Quality Service (QoS) requirements for 5G-and-beyond networks. However, it is very difficult to employ monolithic physical network support mMTC differentiated QoS requirements. Moreover, in ultra-dense mobile networks, scarcity preamble and Physical Downlink Control CHannel (PDCCH) resources may easily lead...

It is widely acknowledged that network slicing can tackle the diverse usage scenarios and connectivity services 5G-and-beyond systems need to support. To guarantee performance isolation while maximizing resource utilization under traffic uncertainty, slice needs be reconfigured adaptively. However, it commonly believed fine-grained reconfiguration problem intractable due extremely high computational complexity caused by numerous variables. In this paper, we investigate with aim of minimizing...

Radio Access Network (RAN) slicing is a promising architectural technology to address extremely diversified service demands and provide profitable business models for future mobile networks. In RAN architecture, self-healing an important functional module minimize the impact of network failings on performance slices. However, burgeoning sliced vastly different from that traditional has been rarely investigated. this paper, we Self-healing Slice (SRANS) problem by modeling it as Pareto...

It is widely acknowledged that the agile reconfiguration of network slice according to traffic demand vital importance in 5G-and-beyond systems. Existing relevant works make decisions based either on point prediction uncertain demand, which lacks indications how accurate it is, or handcrafted uncertainty set with robust optimization, may lead resource over-provisioning due lack mechanism. To overcome these drawbacks, this paper, we propose a predictor-optimizer framework intelligently...

With the rapid development of Internet Things (IoT) systems, low latency requirement massive Machine Type Communication (mMTC) in IoT is an urgent problem to be solved for future mobile communication networks. In this paper, we use a reasonable resource allocation strategy and set priority parameters each slice according average access delay slice. We propose dynamic based on Markov Decision Process (MDP) modeling mMTC random process using Actor-Critic (AC) algorithm reinforcement learning....

Due to the explosive growth of data traffic and poor indoor coverage, ultra-dense network has been introduced as a fundamental architectural technology for 5G-and-beyond systems. As telecom operator is shifting plug-and-play manner in mobile networks, planning optimization become difficult, especially residential small-cell base stations (SBSs) deployment. Under this circumstance, severe inter-cell interference becomes inevitable which deteriorates performance quality service (QoS) user...

Network slicing has been widely acknowledged as a promising architectural technology to meet the different service requirements of diversified applications for future mobile networks. Since there are significant dynamics in traffic and resource availability, isolation must be realized through agile re-provisioning slices, guarantee Quality Service (QoS) individual network slices. We thus need dynamically adjust amount resources allocated data flows carried slice. In this paper, we...

With space, air and ground multiple layers, space-air-ground integrated networks (SAGINs) have been emerging as a promising technology to improve coverage quality of service (QoS) for mobile users. inhomogeneous access technologies at different layers in SAGINs, the joint gateway selection user scheduling (GSUS) plays crucial role QoS system performance. However, moving aerial point leads highly dynamic inter-layer links, it is challenging capture dynamics when solving GSUS problem. In this...

Radio Access Network (RAN) slicing is a promising architectural technology to address extremely diversified service demands for future mobile networks. As an essential requirement RAN slicing, self-healing provide services with certain quality requirements by minimizing the impact of network failings. In this paper, we propose Multi-objective Pareto Optimization based Self-healing (MPOS) scheme solve SRANS problem. We model problem as multi-objective optimization aim maximizing profits...