Reference : Demand and Interference Aware Adaptive Resource Management for High Throughput GEO Sa...
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Security, Reliability and Trust
http://hdl.handle.net/10993/51047
Demand and Interference Aware Adaptive Resource Management for High Throughput GEO Satellite Systems
English
Abdu, Tedros Salih mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Kisseleff, Steven mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
15-Apr-2022
IEEE Open Journal of the Communications Society
IEEE
Yes
International
2644-125X
[en] Demand satisfaction ; Dinkelbach method ; high throughput GEO Satellite ; precoding ; radio resource management technique ; successive convex approximation
[en] The scarce spectrum and power resources, the inter-beam interference, together with the high traffic demand, pose new major challenges for the next generation of Very High Throughput Satellite (VHTS) systems. Accordingly, future satellites are expected to employ advanced resource/interference management techniques to achieve high system spectrum efficiency and low power consumption while ensuring user demand satisfaction. This paper proposes a novel demand and interference aware adaptive resource management for geostationary (GEO) VHTS systems. For this, we formulate a multi-objective optimization problem to
minimize the total transmit power consumption and system bandwidth usage while matching the offered capacity with the demand per beam. In this context, we consider resource management for a system with full-precoding, i.e. all beams are precoded; without precoding, i.e. no precoding is applied to any beam; and with partial precoding, i.e. only some beams are precoded. The nature of the problem is non-convex and we solve it by jointly using the Dinkelbach and Successive Convex Approximation (SCA) methods. The simulation results show that the proposed method outperforms the benchmark schemes. Specifically, we show that the proposed method requires low resource consumption, low computational time, and simultaneously achieves a high demand satisfaction.
http://hdl.handle.net/10993/51047
10.1109/OJCOMS.2022.3167785
FnR ; FNR13696663 > Eva Lagunas > FlexSAT > Resource Optimization For Next Generation Of Flexible Satellite Payloads > 01/03/2020 > 28/02/2023 > 2019 and FNR14603732 > Tedros Salih Abdu > INSAT > Power And Bandwidth Allocation For Interference-limited Satellite Communication Systems > 01/03/2020 > 30/09/2023 > 2020

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