Multisatellite Cooperative Random Access Scheme in Low Earth Orbit Satellite Networks

Zhao, Bo; Ren, Guangliang; Zhang, Huining

doi:10.1109/jsyst.2018.2870416

Cited by 27 publications

(8 citation statements)

References 25 publications

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“…Furthermore, the densely deployed LEO satellite constellations can provide additional benefits, such as cooperative processing [16], data offloading [17], [18], and increased degrees of freedom of observations. In [19], a multi-satellite cooperative random access scheme was proposed for the asynchronous system, where a wide range of ALOHA-based protocols can be applied. Nevertheless, the number of collided packets in one slot was restricted by the number of cooperative satellite nodes, and multiple repetitive packets were transmitted in the time domain, which reduced the transmission efficiency.…”

Section: A Related Workmentioning

confidence: 99%

Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations

Ying

Gao

Chen

et al. 2023

IEEE J. Select. Areas Commun.

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Low earth orbit (LEO) satellite constellationenabled communication networks are expected to be an important part of many Internet of Things (IoT) deployments due to their unique advantage of providing seamless global coverage. In this paper, we investigate the random access problem in massive multiple-input multiple-output-based LEO satellite systems, where the multi-satellite cooperative processing mechanism is considered. Specifically, at edge satellite nodes, we conceive a training sequence padded multi-carrier system to overcome the issue of imperfect synchronization, where the training sequence is utilized to detect the devices' activity and estimate their channels. Considering the inherent sparsity of terrestrial-satellite links and the sporadic traffic feature of IoT terminals, we utilize the orthogonal approximate message passing-multiple measurement vector algorithm to estimate the delay coefficients and user terminal activity. To further utilize the structure of the receive array, a two-dimensional estimation of signal parameters via rotational invariance technique is performed for enhancing channel estimation. Finally, at the central server node, we propose a majority voting scheme to enhance activity detection by aggregating backhaul information from multiple satellites. Moreover, multi-satellite cooperative linear data detection and multi-satellite cooperative Bayesian dequantization data detection are proposed to cope with perfect and quantized backhaul, respectively. Simulation results verify the effectiveness of our proposed schemes in terms of channel estimation, activity detection, and data detection for quasi-synchronous random access in satellite systems.

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Section: A Related Workmentioning

confidence: 99%

Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations

Ying

Gao

Chen

et al. 2023

IEEE J. Select. Areas Commun.

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“…The solutions in the above sections apply to TA estimation in single-satellite networks. However, with the rapid growth on the quantity and type of satellites, the ground UEs may receive downlink synchronization signals from multiple satellites at the same time [54]. Here, we extend the problem of TA estimation to the multi-satellite case in Scenario 1.…”

Section: Timing Advance Estimation For Multi-satellite Systemsmentioning

confidence: 99%

Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications

Wang

Chen

Ding

et al. 2021

Preprint

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Integrated satellite-terrestrial communications networks aim to exploit both the satellite and the ground mobile communications, thus providing genuine ubiquitous coverage. For 5G integrated low earth orbit (LEO) satellite communication systems, the timing advance (TA) is required to be estimated in the initial random access procedure in order to facilitate the uplink frame alignment among different users. However, due to the inherent characteristics of LEO satellite communication systems, e.g., wide beam coverage and long propagation delays, the existing 5G terrestrial uplink TA scheme is not applicable in the satellite networks. In this paper, we investigate location-based TA estimation for 5G integrated LEO satellite communication systems. We obtain the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements in the downlink timing and frequency synchronization phase, which are made from the satellite at different time instants. We propose to take these measurements for either UE geolocation or ephemeris estimation, thus calculating the TA value. The estimation is then formulated as a quadratic optimization problem whose globally optimal solution can be obtained by a quadratic penalty algorithm. To reduce the computational complexity, we further propose an alternative approximation method based on iteratively performing a linearization procedure on the quadratic equality constraints. Numerical results show that the proposed methods can approach the constrained Cramér-Rao lower bound (CRLB) of the TA estimation and thus assure uplink frame alignment for different users.

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“…Herrero and De Gaudenzi 39 proposed a multi-access scheme to provide machine-to-machine (M2M) communication services for a large number of low-cost satellite-borne terminals, which improved the spectrum efficiency in the case of power imbalance. Zhao et al 40 proposed a cooperative random-access scheme for multiple satellites. By using a packet structure based on single-carrier interleave frequency division multiple access (SC-IFDMA), the influence of user transmission delay on received signals of satellite nodes was overcome and the synchronization of received signals was ensured.…”

Section: Physical Layer Technologies Of Satellite Iotmentioning

confidence: 99%

A review on non-terrestrial wireless technologies for Smart City Internet of Things

Wang

Miao

et al. 2020

International Journal of Distributed Sensor Networks

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Smart City Internet of Things will become a fundamental infrastructure to support massive machine-type communications between the widely deployed sensors serving big cities. Since there exists many location constraints for the existing terrestrial Internet of Things, the non-terrestrial Internet of Things sheds light on breaking these limits. Therefore, this article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of Things. We first present the application scenarios of Internet of Things and point out where the existing terrestrial Internet of Things cannot work perfectly. Two non-terrestrial Internet of Things technical proposals are then introduced, namely satellite Internet of Things and unmanned aerial vehicle Internet of Things. However, the focuses of these non-terrestrial Internet of Things are distinct, that is, the major problems of satellite and unmanned aerial vehicle Internet of Things are the high dynamic nature of channel and high maneuverability of unmanned aerial vehicles, respectively. The key technologies for satellite and unmanned aerial vehicle Internet of Things are then reviewed separately. Both physical and non-physical layer technologies are surveyed for satellite Internet of Things, and the route planning is mainly investigated for the unmanned aerial vehicle Internet of Things. Finally, we draw a conclusion and give some potential research directions of non-terrestrial Internet of Things.

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Multisatellite Cooperative Random Access Scheme in Low Earth Orbit Satellite Networks

Cited by 27 publications

References 25 publications

Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations

Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations

Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications

A review on non-terrestrial wireless technologies for Smart City Internet of Things

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