Link Adaptation and Carriers Detection Errors in Multibeam Satellite Systems with Linear Precoding

Tato, Anxo; Andrenacci, Stefano; Chatzinotas, Symeon; Mosquera, Carlos

doi:10.1109/asms-spsc.2018.8510749

Cited by 3 publications

(6 citation statements)

References 12 publications

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“…Mathematically, for simulating the nullification effect under purely asynchronous or synchronous carriers, we construct the nullified matrix

\overset{boldH}{true}

in two different forms, depending on the system type 9 : Asynchronous system : since our assumption is to work in clear sky conditions, the precoded C/N is relatively high so that the nullification in the asynchronous system is driven mainly by the interference power more than the noise power. Therefore, we assume that the nullification is performed based on a I/C threshold T h :

\begin{matrix} left \\ array ĥ_{i j} = \{\begin{array}{l} 0 if 20 \log_{10} false| h_{i j} false/ h_{i i} false| < T_{h} \\ h_{i j}, otherwise. \end{array} \end{matrix}

Synchronous system : the nullification is performed based on a I/N threshold T h :

\begin{matrix} left \\ array ĥ_{i j} = \{\begin{array}{l} 0 if 20 \log_{10} \sqrt{sans-serifsnr} false| h_{i j} false| < T_{h} \\ h_{i j}, otherwise. \end{array} \end{matrix}

…”

Section: Nullification Descriptionmentioning

confidence: 99%

“…The interested reader can find in Tato et al 9 a comparison of the SINR absolute errors with different thresholds for synchronous and asynchronous nullification. However, the different beam carriers are not fully asynchronous or synchronous in practice, and the capability of a practical receiver to estimate a given interfering carrier depends on both C/N and C/I.…”

Section: Nullification Descriptionmentioning

confidence: 99%

“…Since the nullification effect causes wrong MCS allocation due to the errors in the calculated SINR, a link adaptation algorithm with an adaptive margin is proposed as a countermeasure for those frame errors that the nullification triggers. The improved outer loop link adaptation (OLLA) algorithm described in Delgado et al 8 is used here, instead of the classic OLLA algorithm employed in Tato et al 9 Moreover, we quantify in terms of throughput loss the impact of three different countermeasures for the problem of CSI nullification CSI: a global, a beam‐based, and a per‐user backoff margin. Based on the study carried out in this paper, our proposal for solving this issue with the minimum impact in the system throughput is to use a link adaptation algorithm with an independent adaptive margin per user.…”

Section: Introductionmentioning

confidence: 99%

“…Here, two different levels of user scheduling are considered, namely, a geographical interbeam scheduling, which results from dividing all the beams in sectors, and an intrabeam scheduling, by creating multicast groups of M users in each beam based in the similarity of their channel vectors. Furthermore, in the evaluation of the link adaptation algorithm, three scenarios are studied: one without fading, as in Tato et al, 9 and other two with Rician fading and different Rice factors, one for terrestrial and other for aeronautical applications.…”

Section: Introductionmentioning

confidence: 99%

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Link adaptation and SINR errors in practical multicast multibeam satellite systems with linear precoding

Tato

Andrenacci

Lagunas

et al. 2020

Satell Commun Network

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Summary The application of linear precoding at the gateway side enables broadband multibeam satellite systems to use more aggressive frequency reuse patterns increasing the overall capacity of future high‐throughput satellites (HTS). In any practical precoded system, receivers can estimate only a few coefficients of the channel state information (CSI), while the others, in what is known as nullification, are set to zero. In this paper, the impact of the CSI nullification to the SINR estimation is analyzed statistically and geographically for a multicast multibeam satellite system. The errors in the SINR calculated by the gateway affect to the modulation and coding schemes (MCSs) selection, increasing the rate of erroneous frames or leading to an underutilization of the available resources. Therefore, as countermeasure, a link adaptation algorithm based on an adaptive margin per user is proposed, helping to achieve the error rate constraints of DVB‐S2X systems without compromising the throughput, even under severe CSI degradation due to nullification and Rician fading.

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“…Mathematically, for simulating the nullification effect under purely asynchronous or synchronous carriers, we construct the nullified matrix

\overset{boldH}{true}

\begin{matrix} left \\ array ĥ_{i j} = \{\begin{array}{l} 0 if 20 \log_{10} false| h_{i j} false/ h_{i i} false| < T_{h} \\ h_{i j}, otherwise. \end{array} \end{matrix}

Synchronous system : the nullification is performed based on a I/N threshold T h :

\begin{matrix} left \\ array ĥ_{i j} = \{\begin{array}{l} 0 if 20 \log_{10} \sqrt{sans-serifsnr} false| h_{i j} false| < T_{h} \\ h_{i j}, otherwise. \end{array} \end{matrix}

…”

Section: Nullification Descriptionmentioning

confidence: 99%

Section: Nullification Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Link adaptation and SINR errors in practical multicast multibeam satellite systems with linear precoding

Tato

Andrenacci

Lagunas

et al. 2020

Satell Commun Network

Self Cite

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show abstract

“…MIMO precoding techniques are based on the closed-loop approach by employing the retrieved channel state information (CSI) from the user terminals (UTs), requiring a feedback channel from UT back to Gateway (GW). Due to the time-varying channel, the gateway has only access to a delayed version of the channel state information (CSI), which can eventually limit the overall system performance [6][7][8][9]. However, in contrast to general multiuser multipleinput multiple-output terrestrial systems, the CSI degradation in multibeam mobile applications has a very limited impact for typical fading channel and system assumptions.…”

Section: Introductionmentioning

confidence: 99%

Hardware precoding demonstration in multibeam UHTS communications under realistic payload characteristics

Duncán

Querol

Maturo

et al. 2021

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

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In this paper, we present a new hardware test-bed to demonstrate closed-loop precoded communications for interference mitigation in multi-beam ultra high throughput satellite systems under realistic payload and channel impairments. We build the test-bed to demonstrate a real-time channel aided precoded transmission under realistic conditions such as the power constraints and satellitepayload non-linearities. We develop a scalable architecture of an SDR platform with the DVB-S2X piloting. The SDR platform consists of two parts: analog-to-digital (ADC) and digital-to-analog (DAC) converters preceded by radio frequency (RF) front end and Field-Programmable Gate Array (FPGA) backend. The former introduces realistic impairments in the transmission chain such as carrier frequency and phase misalignments, quantization noise of multichannel ADC and DAC and non-linearities of RF components. It allows evaluating the performance of the precoded transmission in a more realistic environment rather than using only numerical simulations. We benchmark the performance of the communication standard in realistic channel scenarios, evaluate received signal SNR, and measure the actual channel throughput using LDPC codes.

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Optimal Linear Precoding Under Realistic Satellite Communications Scenarios

Eappen,

Gonzalez,

Singh

et al. 2025

IEEE Open J. Veh. Technol.

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Link Adaptation and Carriers Detection Errors in Multibeam Satellite Systems with Linear Precoding

Cited by 3 publications

References 12 publications

Link adaptation and SINR errors in practical multicast multibeam satellite systems with linear precoding

Link adaptation and SINR errors in practical multicast multibeam satellite systems with linear precoding

Hardware precoding demonstration in multibeam UHTS communications under realistic payload characteristics

Optimal Linear Precoding Under Realistic Satellite Communications Scenarios

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