Precoding design and user selection for multibeam satellite channels

Gharanjik, Ahmad; Shankar, M. R. Bhavani; Arapoglou, Pantelis-Daniel; Bengtsson, Mats; Ottersten, Björn

doi:10.1109/spawc.2015.7227072

Cited by 22 publications

(4 citation statements)

References 14 publications

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“…The size P decides the optimization performance, which can not be tiny. Hence, the complexity  G∕P explodes with the increasing of size P. Based on (33) and (34), we can conclude that…”

Section: Dbh Pattern Designmentioning

confidence: 79%

“…In remote and non‐land areas, the terminal distribution shows microaggregation and macroparsity, modelled terminals according to the beam range radius. Furthermore, the N terminal positions are assumed to obey the Poisson point process (PPP) for the random distribution, as same as [34]. In each timeslot, terminals are divided into satellite‐service terminals (SSTs), ABS‐service terminals (ASTs), and un‐service terminals (UTs).…”

Section: System Modelmentioning

confidence: 99%

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Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Yao

Fan

et al. 2023

IET Communications

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In remote and inaccessible areas, the traffic request for Internet-of-Things (IoT) terminals is growing. This paper proposes a cognitive satellite-aerial network (CSAN) to provide sufficient access services. The proposed CSAN consists of the primary beam-hopping (BH) satellite and secondary aerial-based station (ABS) systems. Since the two systems share spectrums, co-channel interference (CCI) between the two systems is complicated, and the quality of service (QoS) is seriously degraded. To improve the QoS, the dynamic BH (DBH) pattern, ABS access in the time domain, and ABS power control in the power domain are studied. First, based on the sparsity of the DBH pattern, the greedy quick tracking (GAT) algorithm is proposed to design the DBH pattern quickly. Then, subject to the DBH pattern, a greedy access monitor (GAM) algorithm is determined for timely ABS access and power control. Since each ABS only serves terminals within a suitable distance, the placement and terminal cluster of multi-ABSs in the space domain are required to ensure full terminal coverage. Thus, the mutual selection K algorithm is proposed to save required ABS numbers and improve service fairness among terminal clusters. Simulation results demonstrate the efficacy of time-space-power allocation for enhanced IoT-terminal services in the proposed CSAN.

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Section: Dbh Pattern Designmentioning

confidence: 79%

Section: System Modelmentioning

confidence: 99%

Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Yao

Fan

et al. 2023

IET Communications

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“…As in [7], only one user per beam can be served. In this case, the optimal performance can be obtained by using best link selection (BLS), which selects the user with the maximum received SNR for time-varying channels [38], or the fairness can be guaranteed by using random link selection (RLS) that randomly selects users [38], [39]. However, the latest SatCom standards consider multicast system that serves multiple users simultaneously in each beam, such as [8], [10], [33].…”

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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“…where x ks = exp {je ks } is a random vector. We further assume that the channel estimate f ks and the correlation matrix of x ks denoted by X ks = E x ks x H ks are known at the GW [19], [50]. T following e ′ kt ∼ N (0, δ 2 I), the channel vector from the satellite to CU-k t write as…”

Section: Robust Joint Beamforming Schemementioning

confidence: 99%

Rate-Splitting Multiple Access for Satellite-Terrestrial Integrated Networks:Benefits of Coordination and Cooperation

Li¹,

Clerckx²

2021

Preprint

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This work studies the joint beamforming design problem of achieving max-min rate fairness in a satellite-terrestrial integrated network (STIN) where the satellite provides wide coverage to multibeam multicast satellite users (SUs), and the terrestrial base station (BS) serves multiple cellular users (CUs) in a densely populated area. Both the satellite and BS operate in the same frequency band. Since rate-splitting multiple access (RSMA) has recently emerged as a promising strategy for non-orthogonal transmission and robust interference management in multi-antenna wireless networks, we present two RSMA-based STIN schemes, namely the coordinated scheme relying on channel state information (CSI) sharing and the cooperative scheme relying on CSI and data sharing. Our objective is to maximize the minimum fairness rate amongst all SUs and CUs subject to transmit power constraints at the satellite and the BS. A joint beamforming algorithm is proposed to reformulate the original problem into an approximately equivalent convex one which can be iteratively solved. Moreover, an expectation-based robust joint beamforming algorithm is proposed against the practical environment when satellite channel phase uncertainties are considered.Simulation results demonstrate the effectiveness and robustness of our proposed RSMA schemes for STIN, and exhibit significant performance gains compared with various traditional transmission strategies.

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Precoding design and user selection for multibeam satellite channels

Cited by 22 publications

References 14 publications

Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Performance Analysis of Satellite Communication Systems With Randomly Located Ground Users

Rate-Splitting Multiple Access for Satellite-Terrestrial Integrated Networks:Benefits of Coordination and Cooperation

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