An Adaptive Beam Control Technique for Q Band Satellite to Maximize Diversity Gain and Mitigate Interference to Terrestrial Networks

Tani, Shuntaro; Motoyoshi, Katsuyuki; Sano, Hiroyasu; Okamura, Atsushi; Nishiyama, Hiroki; Kato, Nei

doi:10.1109/tetc.2016.2606107

Cited by 22 publications

(18 citation statements)

References 18 publications

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“…The authors of [11] optimize beamdirectivity and transmit-power according to traffic demand to improve the overall system throughput. The authors of [12] adapt satellite's transmitting antenna boresight to maximize signal to noise power ratio (SNR) of satellite ground station and minimize interference to terrestrial networks. The authors of [13] propose an optimization tool to jointly optimize the number of beams, beam width, power and bandwidth allocation in order to match the provided data rate to the predicted traffic demand but do not optimize the beam positions and beam shape.…”

Section: A Literature Reviewmentioning

confidence: 99%

Demand-Based Adaptive Multi-Beam Pattern and Footprint Planning for High Throughput GEO Satellite Systems

Honnaiah

Maturo

Chatzinotas

et al. 2021

IEEE Open J. Commun. Soc.

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The current broadband coverage area requisites and the expected user demand is satisfied by the state of the art satellite industry by using multiple spot beams of high throughput satellites with fixed multi-beam pattern and footprint planning. However, in recent years, new mobile broadband users with dynamic traffic demand are requesting for services in remote geographical locations such as air (aeroplanes) and water (ships). Furthermore, the expected demand varies with time and geographical location of the users. Hence, a practical approach to meet such heterogeneous demand is to plan adaptive beams to the satellites equipped with beamforming capabilities. In this paper, we study the state of the art fixed multi-beam pattern and footprint plan and show its drawbacks to support the non-uniformly distributed user terminals and varying traffic demands. To end this, we propose an adaptive multi-beam pattern and footprint plan where we design spot beams with flexible size and position based on the spatial clustering of the users in order to increase the flexibility of the high throughput satellite system. Numerical simulations demonstrate the high system performance of the proposed methodology.

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Section: A Literature Reviewmentioning

confidence: 99%

Demand-Based Adaptive Multi-Beam Pattern and Footprint Planning for High Throughput GEO Satellite Systems

Honnaiah

Maturo

Chatzinotas

et al. 2021

IEEE Open J. Commun. Soc.

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“…In [10] and [11], the minimum separation distance between satellite earth stations and terrestrial stations/terminals was analyzed. In [12] and [13], the beam control and beamforming techniques were adopted respectively to maximize the signal to interference plus noise ratio (SINR) towards the desired secondary system and to minimize the interference towards the primary system. In the secondary category, spectrum sharing between broadcasting satellite service (BSS) feeder links and fixed satellite service (FSS) downlinks can be based on a simple coordination mechanism by defining cognitive (protection) zones around the BSS stations [14]- [16] or a beam-hopping (BH) scheme [17].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for LEO Beam-Hopping Satellites in a Spectrum Sharing Scenario

Tang

Bian

et al. 2021

IEEE Access

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In recent years, low earth orbit (LEO) satellite constellation systems have been developed rapidly. However, the scarcity of satellite spectrum resources has become one of the major obstacles to this trend. LEO satellite constellation communication systems sharing the spectrum of incumbent geostationary earth orbit (GEO) satellite system is a feasible way to alleviate spectrum scarcity. Therefore, it has practical significance to study the optimization of satellite resources allocation (RA) in a spectrum sharing scenario. This paper focuses on the RA problem that LEO satellites share a GEO high throughput satellite's spectrum in a beam-hopping (BH) manner. The GEO satellite system is served as the primary system and the LEO satellite constellation system is served as the secondary system whose frequency bands and transmitting power are strictly limited. Compared with conventional multibeam satellites, BH satellites have the advantage of flexibility in the time dimension. Therefore, we make full use of the flexibility of LEO BH satellites to realize the matching of traffic demand and traffic supply. The RA problem is decomposed into three sub-problems, namely, frequency band selection (FBS) problem, illuminated cell selection (ICS) problem, and transmitting power allocation (TPA) problem. We solve each sub-problem in order and finally form a complete RA scheme. The performance evaluation of the proposed RA scheme is carried out in real-time and simulation results show that the LEO BH satellite paired with the RA scheme we proposed has good adaptability to the uneven distribution of traffic demand in the spectrum sharing scenario.

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“…firstly analyzed the interference experienced at the GSO system from terrestrial systems, and then the protection area around the GSO earth station and the protection radius was constructed to protect GSO from interference, while taking both omnidirectional antenna and beamforming scheme at base stations into account. Tani et al 12 . adopted an adaptive beam control technique for remote sensing satellites in Q band, which could effectively improve the signal‐to‐noise power ratio of the earth station and alleviate the interference from satellite to terrestrial systems by controlling the transmitting antenna boresight of the satellite.…”

Section: Introductionmentioning

confidence: 99%

“… Power‐domain schemes : this category of schemes handles the interference problems based on power control, which improves the performance of the victim systems by guaranteeing the required signal‐to‐interference‐plus‐noise ratio (SINR) 13,17,19,22,23 Beam‐domain schemes : in order to achieve high‐speed data transmission, satellites are nowadays expected to be equipped with high‐gain antennas with the capacities of flexible beam pointing and beam shaping, which provides the anti‐interference measures with an additional domain of agility and makes it possible to alleviate interference from the perspectives of beam domain 12,18 …”

Section: Introductionmentioning

confidence: 99%

“…Most of the aforementioned articles analyzed the interference from the NGSO system or terrestrial systems to the GSO systems, whose fundamental purpose was to protect the GSO satellites or GSO earth stations from the harmful interference and the corresponding anti‐interference schemes worked at the expense of imposing restriction on the NGSO system or terrestrial systems, such as specifying the protect area, 11 adjusting the direction normal of antenna, 18 and special constellation design 20 . In addition to these, some of the abovementioned articles were proposed for the terrestrial systems, 12 but the basic starting point and foundation of them were similar.…”

Section: Introductionmentioning

confidence: 99%

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Interference management via cooperative beam biasing and power control for mmWave satellite clusters

Zhang

Cui

Li³

et al. 2021

Satell Commun Network

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Summary In order to tackle the problem of spectrum scarcity, spectrum sharing among satellite communication systems becomes a common phenomenon. Due to the spectrum sharing, mmWave satellite cluster, which is considered as a prominent part of the space information networks, may suffer severe mutual interference among inter‐satellite data links. In this paper, we firstly conduct the interference analysis for satellite clusters. Then, we formulate the interference problem as a constrained optimization problem in the performance metric of the total achievable data rate. To alleviate the interference between satellite clusters, a particle swarm optimization (PSO)‐based cooperative beam biasing and power control scheme (CBP‐PSO) from the perspectives of the joint beam domain and power domain is proposed. And the interference management problem is transformed to find the best combination of the boresight direction and transmission power based on the improved PSO algorithm. Specially, in the interference analysis and proposed scheme, different satellite cluster formations and antenna configurations are taken into account. Finally, simulation results show that the proposed CBP‐PSO scheme based on cooperative beam biasing and power control can effectively improve the achievable data rate of the interfered data links, even for the severe in‐line interference.

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An Adaptive Beam Control Technique for Q Band Satellite to Maximize Diversity Gain and Mitigate Interference to Terrestrial Networks

Cited by 22 publications

References 18 publications

Demand-Based Adaptive Multi-Beam Pattern and Footprint Planning for High Throughput GEO Satellite Systems

Demand-Based Adaptive Multi-Beam Pattern and Footprint Planning for High Throughput GEO Satellite Systems

Resource Allocation for LEO Beam-Hopping Satellites in a Spectrum Sharing Scenario

Interference management via cooperative beam biasing and power control for mmWave satellite clusters

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