Matching Traffic Demand in GEO Multibeam Satellites: The Joint Use of Dynamic Beamforming and Precoding Under Practical Constraints

Abstract

To adjust for the non-uniform spatiotemporal nature of traffic patterns, next-generation high throughput satellite (HTS) systems can benefit from recent technological advancements in the space-segment in order to dynamically design traffic-adaptive beam layout plans (ABLPs). In this work, we propose a framework for dynamic beamforming (DBF) optimization and adaptation in dynamic environments. Given realistic traffic patterns and a limited power budget, we propose a feasible DBF operation for a geostationary multibeam HTS network. The goal is to minimize the mismatch between the traffic demand and the offered capacity under practical constraints. These constraints are dictated by the traffic-aware design requirements, the on-board antenna system limitations, and the signaling considerations in the K-band. Noting that the ABLP is agnostic about the inherent inter-beam interference (IBI), we construct an interference simulation environment using irregularly shaped beams for a large-scale multibeam HTS system. To cope with IBI, the combination of on-board DBF and on-ground precoding is considered. For precoded and non-precoded HTS configurations, the proposed design shows better traffic-matching capabilities in comparison to a regular beam layout plan. Lastly, we provide trade-off analyses between system-level key performance indicators for different realistic non-uniform traffic patterns.

Spatial–Temporal Resource Optimization for Uneven-Traffic LEO Satellite Systems: Beam Pattern Selection and User Scheduling

“…These approaches may also be inapplicable to more general scenarios where irregular beam shapes are adopted [7]. Regarding irregular shaped beams, the authors in [15], provided a generic radiation model and designed a dynamic beamforming optimization framework to adjust offered capacity to match irregular traffic demands.…”

“…As an early-attempt study in [20], we evaluate the performance gain of adopting adaptive beam pattern in LEO satellite systems under pre-decided user scheduling. For extension, we are motivated to provide more comprehensive insights on joint resource optimization of beam pattern selection and resource allocation and aim to analyze their mutual influence, which distinguish this work from other state-of-the-art works [10], [12], [14], [15]. The main contributions are summarized as follows:…”

Markov-based satellite channel modeling in DVB systems

“…In this work we have considered a DVB-S2X broadband satellite system in Ka-band (30/20 GHz) 11 able to provide many IP services based on real-time and non-real-time applications such as video Conference, VoIP or HTTP traffic. It is composed of the multi-beam GEO On Board Processor (OBP) satellite, 17 the satellite terminal (ST) with return channel satellite (RCS) 18 located inside the region covered by a particular spot, and the gateway able to connect the overall network with other systems. 19 The satellite channel is a precious resource so the modeling of an optimal channel can represent an important design aspect to be taken into account and often, also technique of rate adaptation as in.…”