Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band

Ferreira, Paulo Victor R.; Paffenroth, Randy; Wyglinski, Alexander M.

doi:10.1109/access.2017.2651742

Cited by 12 publications

(7 citation statements)

References 45 publications

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“…Upon export review, it is planned that the RLNN core code will be released to the public. Additional future work includes including a real-time received power predictor into the RLNN based on channel models [21], [22].…”

Section: Discussionmentioning

confidence: 99%

Implementation of a space communications cognitive engine

Hackett

Bilén

Ferreira

et al. 2017

2017 Cognitive Communications for Aerospace Applications Workshop (CCAA)

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Although communications-based cognitive engines have been proposed, very few have been implemented in a full system, especially in a space communications system. In this paper, we detail the implementation of a multi-objective reinforcement-learning algorithm and deep artificial neural networks for the use as a radio-resource-allocation controller. The modular software architecture presented encourages re-use and easy modification for trying different algorithms. Various trade studies involved with the system implementation and integration are discussed. These include the choice of software libraries that provide platform flexibility and promote reusability, choices regarding the deployment of this cognitive engine within a system architecture using the DVB-S2 standard and commercial hardware, and constraints placed on the cognitive engine caused by real-world radio constraints. The implemented radio-resourceallocation-management controller was then integrated with the larger space-ground system developed by NASA Glenn Research Center (GRC).

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Section: Discussionmentioning

confidence: 99%

Implementation of a space communications cognitive engine

Hackett

Bilén

Ferreira

et al. 2017

2017 Cognitive Communications for Aerospace Applications Workshop (CCAA)

Self Cite

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“…This also provide a challenging task for system designers when higher availability requirements is provided. Long-term rain attenuation statistics are required to provide a better understanding for mobile terminals, which is different form the fixed terminals statistics due to the movement involved [8]. Other implications added to the mobile satellite systems such as shadowing, and multipath [9] in addition to the rain attenuation, can render the system unusable.…”

Section: Introductionmentioning

confidence: 99%

Rain attenuation statistics for mobile satellite communications estimated from radar measurements in Malaysia

et al. 2019

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Mobile satellite communications will play a significant role in the next 5 th generation mobile services. The use of high-frequency bands will be the enabler of this advancement. However, at high frequencies, excess rain attenuation causes severe signal losses and presents a major threat for the system availability, especially in the tropical region. To that end, this study presents the rain attenuation impact on mobile satellite communications estimated using long-term radar measurements in Malaysia, by exploiting the horizontal structure of rain from the radar database and simulating inner-city and highway mobile terminals scenarios. Additionally, a scaling factor was presented to scale available fixed satellite terminals measurements to mobile terminals operating at the same locality under similar conditions. In comparison to the available link measurements, the radar database was reliable enough to provide highly accurate estimates. In all simulation scenarios, the mobile terminal will depart the rainy area soon enough and experience lower attenuation statistics in comparison with the fixed terminal. The provided results will help determine the overall future system performance, especially in tropical regions.

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“…According to the previous studies [24][25][26], we can select an appropriate threshold of the noise temperature T th to capture the channel capacity that randomly ranges from good to bad state. Then the time-varying rain attenuation at the Ka-band channel is modeled to a two-state GE channel according to the noise temperature T.…”

Section: System Modelmentioning

confidence: 99%

Partially Observable Markov Decision Process-Based Transmission Policy over Ka-Band Channels for Space Information Networks

Jiao

Sui

et al. 2017

Entropy

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Abstract:The Ka-band and higher Q/V band channels can provide an appealing capacity for the future deep-space communications and Space Information Networks (SIN), which are viewed as a primary solution to satisfy the increasing demands for high data rate services. However, Ka-band channel is much more sensitive to the weather conditions than the conventional communication channels. Moreover, due to the huge distance and long propagation delay in SINs, the transmitter can only obtain delayed Channel State Information (CSI) from feedback. In this paper, the noise temperature of time-varying rain attenuation at Ka-band channels is modeled to a two-state Gilbert-Elliot channel, to capture the channel capacity that randomly ranging from good to bad state. An optimal transmission scheme based on Partially Observable Markov Decision Processes (POMDP) is proposed, and the key thresholds for selecting the optimal transmission method in the SIN communications are derived. Simulation results show that our proposed scheme can effectively improve the throughput.

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Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band

Cited by 12 publications

References 45 publications

Implementation of a space communications cognitive engine

Implementation of a space communications cognitive engine

Rain attenuation statistics for mobile satellite communications estimated from radar measurements in Malaysia

Partially Observable Markov Decision Process-Based Transmission Policy over Ka-Band Channels for Space Information Networks

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