Precoding Design for Energy Efficiency of Multibeam Satellite Communications

Qi, Chenhao; Wang, Xin

doi:10.1109/lcomm.2018.2855935

Cited by 43 publications

(32 citation statements)

References 8 publications

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“…where E Φ denotes expectation over Φ. If we make use of the exact CDF of SNR and stochastic geometry, the expectation terms in (11) can be calculated as (12), where (a) follows from the probability generating functional (PGFL) for PPP [40]; satellite beam pattern α k depends on the user's location, and can change to α (r) when the location of the user changing according to PPP is r away from the center of the beam. In other words, α (r) can be written as…”

Section: A Outage Probabilitymentioning

confidence: 99%

Performance Analysis of Satellite Communication Systems With Randomly Located Ground Users

Park

et al. 2022

IEEE Trans. Wireless Commun.

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Satellite communication (SatCom) is one of the emerging technologies that overcome digital divide between urban and remote areas. The outage event of SatCom link connecting to a network is more critical in an infrastructuredeficient remote area. In this paper, we analyze outage probability (OP) and symbol error rate (SER) over SatCom downlink channels when the users are randomly located in single beam and multibeam area. The downlink beams will suffer from propagation loss and the shadowed-Rician fading depending on the user location which is assumed to follow a Poisson point process. For mathematically tractable, informative, and insightful interpretation, we obtain the asymptotic OP and SER expressions of user link under several channel conditions in the high power regime. Finally, numerical results are presented to verify the analysis and show the accuracy of the asymptotic results.

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Section: A Outage Probabilitymentioning

confidence: 99%

Performance Analysis of Satellite Communication Systems With Randomly Located Ground Users

Park

et al. 2022

IEEE Trans. Wireless Commun.

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“…Satellite Precoding is a promising strategy to meet the target data rates of the future high throughput satellite systems (HTS) and the costs per bit as required by 5G applications and networks [1], [2]. Recent research activities have a special focus on multi-beam Precoding for multicast communication to achieve higher energy efficiencies [3] and to design better scheduling algorithms [4]. Precoding, which is a multi-user MIMO technique, requires strict synchronization among the transmitted waveforms in addition to channel state information, a requirement shared by all coherent distributed MIMO techniques [5].…”

Section: Introductionmentioning

confidence: 99%

Effects of differential oscillator phase noise in precoding performance

Marrero

Duncán

Querol

et al. 2021

Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference

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Satellite Precoding is a promising technique to meet the target data rates of the future high throughput satellite systems and the costs per bit as required by 5G applications and networks, but it requires strict synchronization among the transmitted waveforms, in addition to accurate channel state information. Most of the published work about this topic consider ideal oscillators, but in practice, the output of an oscillator is not a single spectral line at the nominal frequency. This paper proposes a model for the oscillator phase noise and analyzes the resulting received signal to interference plus noise ratio (SNIR) in a satellite communication system using Precoding. Simulations of a communication satellite system with a twobeam transponder and two receivers were performed to compute the effective SNIR. This work uses a simulator which also considers practical impairments such as time misalignment, errors in the channel state information, interference, thermal noise and phase noise masks for satellite oscillators. The Precoding methods used for the analysis are Zero Forcing (ZF) and Minimum Mean Square Error (MMSE). The obtained results prove that there is a degradation in the performance due to the use of independent oscillators but this effect is compensated by the precoding matrix.

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“…In practice, payload cost and processing complexity should be reduced for forward and return link transmission few array-fed reflectors [6]. To further improve spectrum efficiency with specific energy consumption, [7] adopted Zero Forcing (ZF) and Sequential Convex Approximation (SCA) method to optimize Energy Effeciency (EE) under the total power constraint and the Quality of Service (QoS) constraints. While in [8] and [9], Imperfect Channel State Information (CSI) has been considered to manage interference in the every transmitting link.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Analog-Digital Precoding for mmWave Coexisting in 5G-Satellite Integrated Network

Peng

Chatzinotas

et al. 2020

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

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Integrating massive multiple-input multiple-output (MIMO) into satellite network is regarded as an effective strategy to improve the spectral efficiency as well as the coverage of satellite communication. However, the inevitable intra-system and inter-system interference deteriorate the total performance of system. In this paper, we consider precoding in the 5G Satellite Integrated Network (5GSIN) with the deployment of Massive MIMO and propagation of shared millimeter-wave (mmWave) link. Taking the requirements of both frequency efficiency and energy assumption into account, a hybrid analog and digital precoding scheme in the specific scenario of 5GSIN is proposed. We model sum rate maximization problem for both of satellite and terrestrial system that incorporates maximum power constrains and minimum achievable rate requirements and formulate to a convex power allocation problem with Minimum Mean Square Error (MMSE) norm and Logarithmic Linearization method. In order to balance between performance and complexity, we propose an analog and digital separated hybrid precoding algorithm to mitigate intra-system interference. Moreover, an iterative power allocation with interference mitigation algorithm is also devised to mitigate interference from satellite to terrestrial link so that power allocation can be executed by generalized iterative algorithm. Simulation results show that our proposed hybrid precoding algorithm in 5GSIN can improve the overall spectral efficiency with a small amount of iterations.

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Precoding Design for Energy Efficiency of Multibeam Satellite Communications

Cited by 43 publications

References 8 publications

Performance Analysis of Satellite Communication Systems With Randomly Located Ground Users

Performance Analysis of Satellite Communication Systems With Randomly Located Ground Users

Effects of differential oscillator phase noise in precoding performance

Hybrid Analog-Digital Precoding for mmWave Coexisting in 5G-Satellite Integrated Network

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