Performance Limits of Cognitive-Uplink FSS and Terrestrial FS for Ka-Band

An, Kang; Liang, Tao; Zheng, Gan; Yan, Xiaojuan; Li, Yusheng; Chatzinotas, Symeon

doi:10.1109/taes.2018.2886611

Cited by 117 publications

(75 citation statements)

References 21 publications

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“…For simulation, 10 8 iterations are carried out. Unless otherwise stated, the following parameters are assumed, among which satellite-related parameters are based on the 3GPP Rel-16 NTN study outcomes [15] and existing works [21]: . We can observe that the existence of the interference yields higher outage probability especially in the low SINR threshold region.…”

Section: Numerical Resultsmentioning

confidence: 99%

Outage Analysis for Terrestrial-Satellite Spectrum Sharing

2020

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This letter investigates the effect of the interference due to spectrum sharing between terrestrial and satellite systems. Based on a realistic coexistence model, we provide an exact closed-form outage probability expression of the satellite link in the presence of the terrestrial interference. We assume Nakagami fading both for terrestrial and satellite links, with an additional consideration for the shadowed Rician fading satellite link. Numerical results show that uncontrolled terrestrial interference can significantly degrade the outage performance of the satellite link. The obtained formulas are useful in predicting and preventing harmful interference when designing coexistence mechanisms for terrestrial and satellite systems.

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Section: Numerical Resultsmentioning

confidence: 99%

Outage Analysis for Terrestrial-Satellite Spectrum Sharing

2020

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“…As can be found in the existing literature, the shadowed-Rician distribution can be applied in difference frequency bands, including UHF-band, L-band, Ku-band, Ka-band and etc [7][8][9]. Under this situation, this paper has employed an alternative approach for atmosphere and weather effects according to the existing references, which can be applied to both the fixed and mobile terminals operating in various propagation environments [7][8][9][23][24][25]. Accordingly, the probability density function (PDF) of the channel gain g i 2 can be given by [26]…”

Section: Satellite Channel Modelmentioning

confidence: 99%

“…• G U : Antenna gain at the ES-i, (i ∈ {1, 2}).• G S, max : Maximum beam gain at the on-board antenna boresight. • u i : Auxiliary variable in determining the on-board beam gain factor for a given a ES's position, which is defined as[25] …”

mentioning

confidence: 99%

Performance Evaluation of a Full-Duplex Relaying-Enabled Satellite Sensor Network

Xia¹,

Yang²,

Liu³

et al. 2019

Sensors

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This paper investigates the performance of a full-duplex (FD) relaying-enabled satellite sensor network under residual loop interference, where the satellite uplink and the downlink transmissions simultaneously occur over the same frequency band. Specifically, the closed-form expressions for the outage probability and ergodic capacity of the FD relaying satellite sensor network are derived by considering residual loop interference, channel statistical property, propagation loss, geometric satellite antenna pattern, and terminal elevation angle. Simulation results show the achieved performance gains of a full-duplex relaying satellite sensor network over traditional half-duplex relaying, and highlight the impact of key system parameters on the performance of the considered FD relaying satellite sensor network.

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“…However, the issue of spectrum scarcity has restricted the development of them. To alleviate pressure on limited spectrum resource, CR has been introduced for the satellite terrestrial network as a promising technology [14][15][16][17][18][19][20]. In [17], the outage probability of the cognitive network with interference temperature constraint is studied, where the satellite communication network acts as the PU while the terrestrial mobile network serves as the SU.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Cooperative Spectrum Sensing in Cognitive Satellite Terrestrial Networks

Bian

et al. 2020

IEEE Access

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Having the ability to provide seamless coverage and alleviate the frequency scarcity, the cognitive satellite terrestrial network becomes a promising candidate for future communication networks. In the cognitive network, spectrum sensing plays an important role in detecting the channel state for opportunistic utilization, where cooperative spectrum sensing is employed to improve the sensing performance. Additionally, it is critical for battery-powered satellite mobile terminals to diminish energy consumption costs. In this regard, this paper proposes a novel sensing-based cognitive satellite terrestrial network (SCSTN), which integrates the cognitive satellite terrestrial network with the distributed cooperative spectrum sensing network. Specifically, we focus on energy-efficient cooperative sensing in the SCSTN, which maximizes the energy efficiency (EE) of the cognitive satellite network by a tradeoff between the average throughput and the average energy consumption. In the SCSTN, the energy detection threshold of the sensing node and the rule threshold of fusion affect the average throughput and the average energy consumption. Hence, the objective of this paper is to identify the energy detection threshold of the sensing node and the rule threshold of fusion to achieve the maximum EE. We first study the EE formulation of the rule threshold of fusion when the energy detection threshold of the sensing node is given, and transform the ratio-type objective function of EE into a parametric formulation. Subsequently, by exploring the relationship between the two formulations and making use of the monotonicity of the parametric formulation, an algorithm to obtain the optimal rule threshold of fusion for the original problem is developed. Furthermore, we study the optimal formulation of the energy sensing threshold of the sensing node and discuss the effect of the sensing duration and the number of distributed cooperative terminals on the EE. Lastly, the performance of the proposed method is evaluated through numerical simulation results.

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Performance Limits of Cognitive-Uplink FSS and Terrestrial FS for Ka-Band

Cited by 117 publications

References 21 publications

Outage Analysis for Terrestrial-Satellite Spectrum Sharing

Outage Analysis for Terrestrial-Satellite Spectrum Sharing

Performance Evaluation of a Full-Duplex Relaying-Enabled Satellite Sensor Network

Energy-Efficient Cooperative Spectrum Sensing in Cognitive Satellite Terrestrial Networks

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