| Reference : Power and Bandwidth Minimization for Demand-Aware GEO Satellite Systems |
| Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||
| Engineering, computing & technology : Electrical & electronics engineering | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/48424 | |||
| Power and Bandwidth Minimization for Demand-Aware GEO Satellite Systems | |
| English | |
Abdu, Tedros Salih  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Kisseleff, Steven [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| 2021 | |
| Yes | |
| IEEE GLOBECOM 2021 | |
| 7–11 December 2021 | |
| Spain | |
| Madrid | |
| [en] GEO satellite ; Smart radio resource allocation ; Demand satisfaction ; Bandwidth utilization ; Quadratic transform | |
| [en] Smart radio resource allocation combined with the
recent advances of digital payloads will allow to control the transmit power and bandwidth of the satellites depending on the demand and the channel conditions of users. The system flexibility is important not only to handle divergent demand requirements but also to efficiently utilize the limited and expensive satellite resources. In this paper, we propose a demand-aware smart radio resource allocation technique, where the transmit power and the bandwidth of the GEO satellite are minimized while satisfying the user demand. The formulated optimization problem is non-convex mixed-integer nonlinear program which is difficult to solve. Hence, we apply a quadratic transform to solve the problem iteratively. The numerical results showed that the proposed scheme outperforms the benchmark schemes in terms of bandwidth utilization while accurately providing capacity-ondemand. | |
| Researchers ; Professionals ; Students ; General public | |
| http://hdl.handle.net/10993/48424 | |
| FnR ; FNR14603732 > Tedros Salih Abdu > INSAT > Power And Bandwidth Allocation For Interference-limited Satellite Communication Systems > 01/03/2020 > 30/09/2023 > 2020; FNR13696663 > Eva Lagunas > FlexSAT> Resource Optimization For Next Generation Of Flexible Satellite Payloads > 01/03/2020 > 28/02/2023 > 2019 |
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