Optimum-Capacity MIMO Satellite Broadcast System: Conceptual Design for LOS Channels

Schwarz, Robert T.; Knopp, Andreas; Lankl, Berthold; Ogermann, D.; Hofmann, C.

doi:10.1109/asms.2008.19

Cited by 39 publications

(30 citation statements)

References 4 publications

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“…From equation (10) we can immediately observe that the target SINR can either be achieved by reducing the SIR or by increasing the signal to noise ratio (SNR) which, for the sake of completeness, is ξ ·λ 2 ·q 2 /σ 2 η applying equation (6). To discuss this further we use the following approach: We firstly analyze the interference separately from the receiver.…”

Section: B Interference Analysismentioning

confidence: 99%

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MIMO application for reduced adjacent satellite interference in SATCOM downlinks

Schwarz

Winter²,

Knopp

2014

2014 IEEE International Conference on Communications (ICC)

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Due to the steady increase of satellite networks in the geostationary arc, operators and governments must take measures to ensure that each network can operate without being interfered by adjacent satellite networks. Usually this is achieved by strict regulation of the allowed power spectral density within the shared operating spectrum. Unfortunately, limiting the allowed transmit power ceteris paribus manifests in limited data rates, especially if terminals with small apertures are used. In this paper we will show that the recently proposed Multiple InputMultiple Output (MIMO) technology for communication satellite systems is a convenient concept to mitigate data rate limitations induced by adjacent satellite interference (ASI). Given a fixed data rate required by the end user, MIMO systems are superior over conventional Single Input -Single Output (SISO) systems because they work at less satellite transmit power and, therefore, enable more narrow satellite spacing or smaller ground terminal dish sizes without violating negotiated ASI limits.

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Section: B Interference Analysismentioning

confidence: 99%

“…However, based on [5], a methodology has been proposed in [6] that achieves maximum MIMO channel capacity for such LOS satellite links. In a downlink with M = Z antennas at Tx and Rx, the maximum achievable MIMO channel capacity is [5] …”

Section: A Mimo and Siso Channel Capacitymentioning

confidence: 99%

MIMO application for reduced adjacent satellite interference in SATCOM downlinks

Schwarz

Winter²,

Knopp

2014

2014 IEEE International Conference on Communications (ICC)

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“…Motivated by the work in [28], where full MIMO capacity is achieved through a particular geometric arrangement of antennas in terrestrial LOS channels, the authors in [109], [110] propose a two satellite scenario (i.e. the number of transmitting antennas M T = 2), where the receiving antennas are arranged on ground through a geometrical optimization process.…”

Section: Single-user/dual Satellite Mimo Techniquesmentioning

confidence: 99%

MIMO over Satellite: A Review

Arapoglou

Liolis

Bertinelli

et al. 2011

IEEE Commun. Surv. Tutorials

290

158

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The present article carries out a review of MIMObased techniques that have been recently proposed for satellite communications. Due to the plethora of MIMO interpretations in terrestrial systems and the particularities of satellite communications, this review is built on two pillars, namely fixed satellite and mobile satellite. Special attention is given to the characteristics of the satellite channel, which will ultimately determine the viability of MIMO over satellite. Finally, some future research directions are identified.

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“…( ) l C t is capacity of the l-th path, ( ) C t is the total channel capacity. The different parameters such as the number of the antenna, SNR, the location of reference point and the formation configuration can influence on channel capacity [10][11] [12] .…”

Section: The General Mimo Channel Modelmentioning

confidence: 99%

Generalized MIMO channel model and its capacity analysis in formation flying satellite communication systems

Zhang

Zhu

2011

2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)

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Formation flying satellite communication systems are composed of several satellites which are very close to each other. According to the mission requirements, we select the appropriate configuration of the formation, forming a "virtual satellite". Each satellite is deployed a transmitting antenna, and all the satellites transmit data simultaneously through the Satellite-to-Ground link. Multiple receiving antennas are deployed in the ground station. All the formation flying satellites and the Earth station constitute a generalized MIMO system. In this paper, based on 3GPP TR25.996 specification and methods of deterministic channel model, considering the actual space propagation environment, we propose a distributed MIMO channel model for formation flying satellite systems. Some factors affecting the channel capacity are analyzed, such as the number of antennas, SNR, the formation configuration. We perform simulations based on our channel model with MATLAB. The simulation results and theoretical analysis are fitting well.

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Optimum-Capacity MIMO Satellite Broadcast System: Conceptual Design for LOS Channels

Cited by 39 publications

References 4 publications

MIMO application for reduced adjacent satellite interference in SATCOM downlinks

MIMO application for reduced adjacent satellite interference in SATCOM downlinks

MIMO over Satellite: A Review

Generalized MIMO channel model and its capacity analysis in formation flying satellite communication systems

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