Services, technologies, and systems at Ka band and beyond-a survey

Gargione, Frank; Iida, Takashi; Valdoni, F.; Vatalaro, Francesco

doi:10.1109/49.748777

Cited by 36 publications

(17 citation statements)

References 25 publications

(23 reference statements)

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“…The growing congestion of the C and Ku bands and the success of the Advanced Communications Technologies Satellite (ACTS) program [1] increased the interest of satellite system developers in the Ka-band satellite communications network for growing Internet access applications. The proposed satellite systems use geosynchronous orbit (GSO), non-geosynchronous orbits (NGSO) and multi-spot beams, adaptive power control and adaptive coding for propagation error impacts mitigation, efficient routing with on-board processing/switching and resource allocation/demand assignment multiple access (DAMA).…”

Section: Introductionmentioning

confidence: 99%

Quality of service for satellite IP networks: a survey

Kota¹,

Marchese

2003

Satell Commun Network

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SUMMARYThe future media rich applications such as media streaming, content delivery distribution and broadband access require a network infrastructure that offers greater bandwidth and service level guarantees. As the demand for new applications increases, 'best effort' service is inadequate and results in lack of user satisfaction. End-to-end quality of service (QoS) requires the functional co-operation of all network layers. To meet future application requirements, satellite is an excellent candidate due to features such as global coverage, bandwidth flexibility, broadcast, multicast and reliability. At each layer, the user performance requirements should be achieved by implementation of efficient bandwidth allocation algorithms and satellite link impairment mitigation techniques.In this paper, a QoS framework for satellite IP networks including requirements, objectives and mechanisms are described. To fully understand end-to-end QoS at each layer, QoS parameters and the current research are surveyed. For example at physical layer (modulation, adaptive coding), link layer (bandwidth allocation), network layer (IntServ/DiffServ, MPLS traffic engineering), transport layer (TCP enhancements, and alternative transport protocols) and security issues are discussed. Some planned system examples, QoS simulations and experimental results are provided. The paper also includes the current status of the standardization of satellite IP by ETSI, ITU and IETF organizations.

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Section: Introductionmentioning

confidence: 99%

Quality of service for satellite IP networks: a survey

Kota¹,

Marchese

2003

Satell Commun Network

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“…Ka bands are widely considered these days for satellite transmission because of their wider bandwidth, which allows the use of high data rate for broadband multimedia applications. Also, Ka band is not overcrowded [30], [31]. Furthermore, a number of different satellite roles have been defined in the framework of the third generation of mobile systems, which is referred to as Satellite Universal Mobile Telecommunications System (S-UMTS) by the European Telecommunication Standards Institute (ETSI) and International Telecommunication Union (ITU).…”

Section: Technical Issues In Mobile Satellite Systemmentioning

confidence: 99%

A review of next generation satellite networks: Trends and technical issues

2009

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The next generation satellite networks will provide broadband communications at low cost. The recent developments in satellites technology, transmission techniques, antennas, and launch capabilities have enabled a new generation of services to be made available to users especially when communications satellites have been widely considered to complement the terrestrial systems. In this paper, a survey of next generation satellite networks through the satellite background are discussed. The satellite network requirements for the future mobile system are presented. The proposed satellite-UMTS which have been accepted for the third generation wireless network is showned to be internetworked with the proposed all IP network. This consideration is inevitable because of highspeed transmission requirements and roaming capability that the next generation network system demand.

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“…Next generation satellite communication systems that utilize higher frequency bands, such as the Ka-band, and support spot-beam technology, on-board packet processing and switching are currently under development. These new technologies allow higher data rates and enable the use of small, low-power, and low-cost user terminals, making satellite communication systems more competitive against other broadband communication solutions (cable, ADSL) in providing integrated voice, data, and multimedia communications [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

A multiple subset sum formulation for feedback implosion suppression over satellite networks

Akkor

Baras

Hadjitheodosiou

2005

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.

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Abstract-In this paper, we present a feedback implosion suppression (FIS) algorithm that reduces the volume of feedback information transmitted through the network without relying on any collaboration between users, or on any infrastructure other than the satellite network. Next generation satellite systems that utilize the Ka frequency band are likely to rely on various fade mitigation (compensation) techniques ranging from adaptive coding to dynamic power control, in order to guarantee a service quality that is comparable to other broadband technologies. User feedback would be a valuable input for a number of such components, however, collecting periodic feedback from a large number of users would result in the well-known feedback implosion problem. Feedback implosion is identified as a major problem when a large number of users try to transmit their feedback messages through the network, holding up a significant portion of the uplink resources and clogging the shared uplink medium. In this paper, we look at a system where uplink channel access is organized in time-slots. The goal of the FIS algorithm is to reduce the number of uplink time-slots hold up for the purpose of feedback transmission. Our analysis show that the FIS algorithm effectively suppresses the feedback messages of 95% of all active users, but still achieves acceptable performance results when the ratio of available time-slots to number of users is equal to or higher than 5%.

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Services, technologies, and systems at Ka band and beyond-a survey

Cited by 36 publications

References 25 publications

Quality of service for satellite IP networks: a survey

Quality of service for satellite IP networks: a survey

A review of next generation satellite networks: Trends and technical issues

A multiple subset sum formulation for feedback implosion suppression over satellite networks

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