A study of the potential interference between satellite and terrestrial systems in the 28 GHz band

Kerczewski, Robert J.; Mohamed, Jama H.; Ngo, Duc H.; Spence, Rodney L.; Stevens, G. H.; Zaman, Afroz; Svoboda, James S.

doi:10.2514/6.1996-1095

Cited by 1 publication

(1 citation statement)

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“…Meanwhile, a fundamental challenge for satellite communications (SatCom) is the spectrum exploitation for the continuous growth of broadband applications and multimedia services [9,10,11,12]. To improve the spectrum efficiency, cognitive radio (CR) has exploited the spectrum sharing in terrestrial networks for more than ten years as a mainly approach, which is also a very promising candidate in SatCo [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

Bian

et al. 2019

Sensors

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This paper presents a cognitive satellite communication based wireless sensor network, which combines the wireless sensor network and the cognitive satellite terrestrial network. To address the conflict between the continuously increasing demand and the spectrum scarcity in the space network, the cognitive satellite terrestrial network becomes a promising candidate for future hybrid wireless networks. With the higher transmit capacity demand in satellite networks, explicit concerns on efficient resource allocation in the cognitive network have gained more attention. In this background, we propose a sensing-based dynamic spectrum sharing scheme for the cognitive satellite user, which is able to maximize the ergodic capacity of the satellite user with the interference of the primary terrestrial user below an acceptable average level. Firstly, the cognitive satellite user monitors the channel allocated to the terrestrial user through the wireless sensor network; then, it adjusts the transmit power based on the sensing results. If a terrestrial user is busy, the satellite user can access the channel with constrained power to avoid deteriorating the communication quality of the terrestrial user. Otherwise, if the terrestrial user is idle, the satellite user allocates the transmit power based on its benefit to enhance the capacity. Since the sensing-based dynamic spectrum sharing optimization problem can be modified into a nonlinear fraction programming problem in perfect/imperfect sensing conditions, respectively, we solve them by the Lagrange duality method. Computer simulations have shown that, compared with the opportunistic spectrum access, the proposed method can increase the channel capacity more than 20% for Pav=10dB in a perfect sensing scenario. In an imperfect sensing scenario, Pav=15 dB and Qav=5 dB, the optimal sensing time achieving the highest ergodic capacity is about 2.34 ms when the frame duration is 10 ms.

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Section: Introductionmentioning

confidence: 99%

Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

Bian

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

A study of the potential interference between satellite and terrestrial systems in the 28 GHz band

Cited by 1 publication

References 3 publications

Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

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