A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere at an of altitude around 20 km and is instrumental for providing communication services. Precipitated by technological innovations in the areas of autonomous avionics, array antennas, solar panel efficiency levels, and battery energy densities, and fueled by flourishing industry ecosystems, the HAPS has emerged as an indispensable component of next-generations of wireless networks. In this article, we provide a vision and framework for the HAPS networks of the future supported by a comprehensive and state-of-the-art literature review. We highlight the unrealized potential of HAPS systems and elaborate on their unique ability to serve metropolitan areas. The latest advancements and promising technologies in the HAPS energy and payload systems are discussed. The integration of the emerging Reconfigurable Smart Surface (RSS) technology in the communications payload of HAPS systems for providing a cost-effective deployment is proposed. A detailed overview of the radio resource management in HAPS systems is presented along with synergistic physical layer techniques, including Faster-Than-Nyquist (FTN) signaling. Numerous aspects of handoff management in HAPS systems are described. The notable contributions of Artificial Intelligence (AI) in HAPS, including machine learning in the design, topology management, handoff, and resource allocation aspects are emphasized. The extensive overview of the literature we provide is crucial for substantiating our vision that depicts the expected deployment opportunities and challenges in the next 10 years (next-generation networks), as well as in the subsequent 10 years (next-next-generation networks).

A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future

A network architecture and methods of managing packet data unit (PDU) sessions in a network are provided. The methods include PDU session establishment procedures, PDU session modification procedures, PDU session state transfer procedures, PDU session release procedures, and user equipment (UE) handover procedures.

System and methods for session management

A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere at an altitude around 20 km and is instrumental for providing communication services. Triggered by the technological innovations in the areas of autonomous avionics, array antennas, solar panel efficiency levels and the battery energy density, and fueled by the flourishing industry ecosystems, the HAPS exerts itself as an indispensable component of the next generations of wireless networks. In this article, we provide a vision and framework for the HAPS networks of the future supported by a comprehensive and state-of-the-art literature survey. We highlight the undiscovered potential of HAPS systems, and elaborate on their unique ability to serve metropolitan areas. The latest advancements and promising technologies in the HAPS energy and payload systems are discussed. The integration of the emerging Reconfigurable Smart Surface (RSS) technology in the communications payload of HAPS systems for providing a costeffective deployment is proposed. A detailed overview of the radio resource management in HAPS systems is presented along with synergistic physical layer techniques, including Faster-Than-Nyquist (FTN) signaling. Numerous aspects of handoff management in HAPS systems are delineated. The notable contribution of Artificial Intelligence (AI) in HAPS, including machine learning in the design, topology management, handoff, and resource allocation aspects are emphasized. The provided extensive overview of the literature is crucial for substantiating our vision that that depicts the expected deployment opportunities and challenges in the next 10 years (next-generation networks), as well as in the subsequent 10 years (next-next-generation networks).

Disclosed are a method and apparatus for determining a PDU session identity in a wireless communication system. A method for determining, by a session management function (SMF) node, a packet data network (PDU) session identity during handover of user equipment (UE) in a wireless communication system, may include receiving a request message for requesting the establishment of a PDU session for the UE from an access and mobility management function (AMF) node, wherein a handover for the UE from a first wireless communication system to a second wireless communication system has been determined, determining a PDU session identity for the PDU session established for the UE when the request message is received, and sending a response message including the determined PDU session identity to the AMF node in response to the request message.

Method and apparatus for determining pdu session identity in wireless communication system

Despite the wide utilization of unmanned aerial vehicles (UAVs), UAV communications are susceptible to eavesdropping due to air-ground line-of-sight channels. Intelligent reflecting surface (IRS) is capable of reconfiguring the propagation environment, and thus is an attractive solution for integrating with UAV to facilitate the security in wireless networks. In this paper, we investigate the secure transmission design for an IRS-assisted UAV network in the presence of an eavesdropper. With the aim at maximizing the average secrecy rate, the trajectory of UAV, the transmit beamforming, and the phase shift of IRS are jointly optimized. To address this sophisticated problem, we decompose it into three sub-problems and resort to an iterative algorithm to solve them alternately. First, we derive the closed-form solution to the active beamforming. Then, with the optimal transmit beamforming, the passive beamforming optimization problem of fractional programming is transformed into corresponding parametric sub-problems. Moreover, the successive convex approximation is applied to deal with the non-convex UAV trajectory optimization problem by reformulating a convex problem which serves as a lower bound for the original one. Simulation results validate the effectiveness of the proposed scheme and the performance improvement achieved by the joint trajectory and beamforming design.

/pdf/irs-assisted-secure-uav-transmission-via-joint-trajectory-ttldo96l.pdf

IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

High altitude platform station (HAPS) systems have recently attracted renewed attention. While terrestrial and satellite technologies are well established for providing connectivity services, they face certain shortcomings and challenges, which could be addressed by complementing them with HAPS systems. In this article, we envision a HAPS as a super macro base station, to which we refer as HAPS-SMBS, to provide connectivity in a plethora of applications. Unlike a conventional HAPS, which targets broad coverage for remote areas or disaster recovery, we envision next-generation HAPS-SMBS to have the necessary capabilities to address the high capacity, low latency, and computing requirements, especially for highly populated metropolitan areas. This article focuses mainly on the potential opportunities, target use cases, and challenges that we expect to be associated with the design and implementation of the HAPS-SMBS-based future wireless access architecture.

High Altitude Platform Station Based Super Macro Base Station Constellations

Methods by which User Plane (UP) management information is exchanged between an Application Function (AF) supporting one or more applications and a Slice Management Function (SMF) configured to manage traffic flows in a given slice of the network. The exchange of UP management information may be initiated from either the AF or the SMF. In the case of AF-initiated information exchange, the UP management information provided by the AF may comprise traffic requirements of applications supported by the AF. In the case of SMF-initiated information exchange, the UP management information provided by the SM may comprise operator policy information or events, and the AF may respond with information of traffic requirements of applications supported by the AF.

Systems and methods for application-friendly protocol data unit (pdu) session management

Aerial platforms are expected to deliver enhanced and seamless connectivity in the fifth generation (5G) wireless networks and beyond (B5G). Alternatively, reconfigurable smart surfaces (RSS), which smartly exploit/recycle signal reflections in the environment, are increasingly being recognized as a new wireless communication paradigm to improve communication links. In fact, their reduced cost, low power use, light weight, and flexible deployment make them an attractive candidate for integration with 5G/B5G technologies. In this article, we discuss comprehensive approaches to the integration of RSS in aerial platforms. First, we present a review of RSS technology, its operations, and types of communication. Next, we describe how RSS can be used in aerial platforms, and we propose a control architecture workflow. Then several potential use cases are presented and discussed. Finally, associated research challenges are identified.

Aerial Platforms with Reconfigurable Smart Surfaces for 5G and Beyond

A network data analytics (NWDA) function and method of policy optimization in a communication network are provided. The NWDA performs data analytics on the communication network traffic, and includes communication interfaces to connect to other network elements in the communication network. The method comprises the NWDA function configured to receive a request for a policy input, send instructions to network elements to obtain network performance measurement data, receive the measurement data from the network elements, and transmit a policy input based on the received measurement data.

Ngoc Dung Dao

Papers

System and methods for session management

High Altitude Platform Station Based Super Macro Base Station Constellations

Systems and methods for application-friendly protocol data unit (pdu) session management

Aerial Platforms with Reconfigurable Smart Surfaces for 5G and Beyond

System and method of network policy optimization