International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / Prototyping an Internet Protocol (IP) compliant architecture will demonstrate a realistic basis for satellite communication design. The prototype IP architecture should prove seamless and secure communications between the satellites and ground stations. Using commercial off the shelf (COTS) equipment, design and development of satellite communications becomes easier and less expensive than developing specialized equipment. IP space applications will improve communications while minimizing development costs.

No / There are several merits of mobile communication devices having multiple network interfaces as compared to traditional devices with just one interface. Smart phones these days are a true example of a mobile multi-homed communication device with heterogeneous network interfaces. Several solutions are available for unicast applications to provide seamless handover using the multiple interfaces of a multi-homed device in terrestrial networks. However, very little has been done on similar support for IP multicast mobility support for mobile satellite terminals in a ubiquitous multi-beam satellite network. Most of the schemes proposed for handovers in multi-homed devices place a lot of emphasis on maintaining the multi-homed device identity especially when the second interface joins the communication session. This increases complexity in the whole system. The issue of maintaining the multi-homed device identity plus the additional signalling messages involve are neither necessary nor desired in an IP multicast communication handover in a multi-beam satellite scenario. This paper seeks to exploit the group communication features of IP multicast (i.e., the fact that anyone can join or leave a multicast group at any time and from any location) and the multiple interfaces of a mobile Return Channel Satellite Terminal (RCST) to support IP multicast communication during handover when a mobile multi-homed RCST changes its point of attachment to the network from one satellite gateway to another.

No description available.

No / Satellite communication with its world-wide coverage has now become an indispensable part of the Aeronautical communication. Support for high-speed Internet access by the new generation satellite systems has made the provision of IP-based multimedia applications on-board the aircraft possible at all times. Considering the expensive nature of satellite resources, IP multicast can provide a cost-effective and bandwidth saving means of delivering real-time group communication and streaming media to air passengers and crew during a flight. In IP multicast communication, traffic from the source travels along the established multicast tree to reach all group members. For mobile receivers like the aircraft which may move from one satellite beam to another, then special techniques are required to ensure that a branch of the multicast tree follows the mobile receiver into the target beam. This paper proposes a novel technique based on the Proxy Mobile IPv6 (PMIPv6) protocol to support IP multicast receiver mobility over satellite networks for an aircraft as it moves and changes its point of attachment from one satellite gateway (GW) to another. Performance evaluation shows that the proposed scheme is better than the Mobile IPv6-based approach in terms of GW handover (GWH) latency and number of packets lost during GWH.

No / New generation of satellite systems with on-board processing (switching/routing) and support for multiple spot beams will play a key role in the provision of mobile and ubiquitous Internet-based communications. To achieve this `anywhere anytime' communication in a global multi-beam satellite network with many gateways (GWs), the challenges of beam, gateway and satellite handovers faced by the satellite terminals mounted on mobile platforms such as long haul flights, global maritime vessels and continental trains must be adequately dealt with. Network-based localised mobility protocol proxy mobile IPv6 (PMIPv6) where the IP mobility procedures are relocated from the mobile nodes to the network components has been defined by the IETF for terrestrial networks. This paper proposes how the concept of PMIPv6 could be used to support IP mobility in a mesh regenerative multi-beam satellite network. What makes this proposed approach different from that defined by the IETF is the absence of tunnelling throughout the system and the difference in the roles played by the mobility agents.

Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. Nevertheless, the swift movement of the LEO satellites poses a challenge: frequent handovers are inevitable, compromising the quality of service (QoS) of users and leading to discontinuous connectivity. Moreover, considering LEO satellite connectivity for different flying vehicles (FVs) when coexisting with ground terminals, an efficient satellite handover decision control and mobility management strategy is required to reduce the number of handovers and allocate resources that align with different user requirements. With the development of machine learning (ML) methods, which can greatly enhance system performance and automation, reinforcement learning (RL), as a sub-field in ML has been employed to optimize decision control. Due to the challenges of dimensionality explosion and the propensity for traditional Q-learning algorithms to get trapped in local minima, deep learning has been introduced with RL. In this thesis, the high-dimensionality user-satellite network is constructed including the LEO constellation from the ephemeris data, different types of flying vehicles such as aircraft and drones, and ground terminals. Two mathematical optimization models named the traditional low handover model and network utility model when considering the full criteria including the remaining visible time, downlink (DL) carrier-to-interference-plus-noise ratio (CINR) and the available idle channels are formulated. In this way, a novel satellite handover strategy based on Multi-Agent Reinforcement Learning (MARL) and game theory named Nash-SAC has been proposed to solve these problems. From the simulation results, compared with different benchmarks such as the traditional Q-learning algorithm, Maximum available channel (MAC)-based strategy, and Maximum instantaneous signal strength (MIS)-based strategy, Nash-SAC can effectively reduce the number of satellite handovers by over 16% close to the lower limit, and the blocking rate by over 18%. Moreover, Nash-SAC can greatly improve the network utility of the whole system by up to 48% and cater to different users’ requirements, providing reliable and robust connectivity for both FVs and ground terminals. / Jämfört med det markbundna nätet (TN), som endast kan stödja begränsade täckta områden, kan satellitkommunikation (SC) ge global täckning och hög överlevnad vid en nödsituation som en jordbävning. Speciellt lågjordiga satelliter (LEO), som en lovande teknik, som är integrerad för att uppnå målet om global sömlös täckning och tillförlitlig kommunikation, tillgodose 6G:s kommunikationskrav. Icke desto mindre utgör LEO-satelliternas snabba förflyttning en utmaning: täta överlämningar är oundvikliga, vilket äventyrar användarnas tjänstekvalitet och leder till kontinuerlig uppkoppling. Med tanke på LEO:s satellitanslutning för olika flygande fordon när de samexisterar med markterminaler krävs dessutom en effektiv strategi för kontroll av satellitöverlämning och mobilitetshantering för att minska antalet överlämningar och fördela resurser som överensstämmer med olika användarkrav. Med utvecklingen av maskininlärningsmetoder (ML), som avsevärt kan förbättra systemprestanda och automation, har förstärkningsinlärning (RL), som ett delområde i ML använts för att optimera beslutskontrollen. På grund av utmaningarna med dimensionsexplosion och benägenheten för traditionella Q-inlärningsalgoritmer att fastna i lokala minimi har djupinlärning introducerats med RL. I denna avhandling konstrueras det högdimensionella användarsatellitnätet inklusive LEO-konstellationen från ephemerisdata, olika typer av flygande fordon såsom flygplan och drönare samt markterminaler. Två matematiska optimeringsmodeller kallas den traditionella lågöverlämningsmodellen och nätverksbruksmodellen när man beaktar de fullständiga kriterierna inklusive återstående synliga tiden, nedlänk (DL) carrier-to-interferens-plus-noise ratio (CINR) och tillgängliga inaktiva kanaler formuleras. På detta sätt har en ny satellitöverlämningsstrategi baserad på Multi-Agent Reinforcement Learning (MARL) och spelteori vid namn Nash-SAC föreslagits för att lösa dessa problem. Från simuleringsresultaten, jämfört med olika riktmärken såsom den traditionella Q-learning algoritmen, Maximal available channel (MAC)-baserad strategi och Maximal instantaneous signalstyrka (MIS)-baserad strategi, kan Nash-SAC effektivt minska antalet satellitöverlämningar med över 16% nära den nedre gränsen och blockeringshastigheten med över 18%. Dessutom kan Nash-SAC avsevärt förbättra nätverksnyttan i hela systemet med upp till 48% och tillgodose olika användares krav, vilket ger tillförlitlig och robust anslutning för både flygande fordon och markterminaler.