![]() Ntontin, Konstantinos ![]() in IEEE Transactions on Green Communications and Networking (in press) Detailed reference viewed: 36 (8 UL)![]() ; Kisseleff, Steven ![]() ![]() in IEEE Transactions on Aerospace and Electronic Systems (2023) Detailed reference viewed: 50 (3 UL)![]() ; Lagunas, Eva ![]() ![]() in ICC Workshop on Mega-Constellations in the 6G Era (6gsatcomnet), Rome, Italy, May 2023. (2023) Detailed reference viewed: 39 (1 UL)![]() Kisseleff, Steven ![]() ![]() ![]() in IEEE Communications Magazine (2022), 61(3), 86-91 Detailed reference viewed: 27 (3 UL)![]() Abdu, Tedros Salih ![]() ![]() ![]() Poster (2022, November 08) Detailed reference viewed: 32 (4 UL)![]() Jalali, Mahdis ![]() ![]() ![]() in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 12–15 September 2022, Virtual Conference (2022, September) The commercial low earth orbiting (LEO) satellite constellations have shown unprecedented growth. Accordingly, the risk of generating harmful interference to the geostationary orbit (GSO) satellite ... [more ▼] The commercial low earth orbiting (LEO) satellite constellations have shown unprecedented growth. Accordingly, the risk of generating harmful interference to the geostationary orbit (GSO) satellite services increases with the number of satel- lites in such mega-constellations. As the GSO arc encompasses the primary and existing satellite assets providing essential fixed and broadcasting satellite services, the interference avoidance for this area is of the utmost importance. In particular, non- geostationary orbit (NGSO) operators should comply with the regulations set up both by their national regulators and by the International Telecommunications Union (ITU) to minimize the impact of emissions on existing GSO and non-GSO systems. In this paper, we first provide an overview of the most recent radio regulations that dictate the NGSO-GSO spectral co-existence. Next, we analyze the NGSO-GSO radio frequency interference for the downlink scenario, following the so-called time-simulation methodology introduced by ITU. The probability distribution of aggregated power flux-density for NGSO co-channel interference is evaluated and assessed, adopting different degrees of exclusion angle strategy for interference avoidance. We conclude the paper by discussing the resulting implications for the continuity of operation and service provision and we provide remarks for future work [less ▲] Detailed reference viewed: 117 (45 UL)![]() ; Kisseleff, Steven ![]() ![]() in Proceedings of Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) (2022, July) Detailed reference viewed: 56 (0 UL)![]() Abdullah, Zaid ![]() ![]() in IEEE Wireless Communications Letters (2022), 11(7), 1473-1477 Detailed reference viewed: 28 (3 UL)![]() ; Kisseleff, Steven ![]() ![]() in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) (2022, May) Detailed reference viewed: 34 (0 UL)![]() Abdu, Tedros Salih ![]() ![]() ![]() in IEEE Open Journal of the Communications Society (2022) 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 ... [more ▼] 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. [less ▲] Detailed reference viewed: 171 (53 UL)![]() Zivuku, Progress ![]() ![]() ![]() in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) (2022, April 10) Detailed reference viewed: 84 (28 UL)![]() Ntontin, Konstantinos ![]() Scientific Conference (2022) Detailed reference viewed: 21 (1 UL)![]() Al-Hraishawi, Hayder ![]() ![]() ![]() in IEEE Communications Surveys & Tutorials (2022) The next phase of satellite technology is being characterized by a new evolution in non-geostationary orbit (NGSO) satellites, which conveys exciting new communication capabilities to provide non ... [more ▼] The next phase of satellite technology is being characterized by a new evolution in non-geostationary orbit (NGSO) satellites, which conveys exciting new communication capabilities to provide non-terrestrial connectivity solutions and to support a wide range of digital technologies from various industries. NGSO communication systems are known for a number of key features such as lower propagation delay, smaller size, and lower signal losses in comparison to the conventional geostationary orbit (GSO) satellites, which can potentially enable latency-critical applications to be provided through satellites. NGSO promises a substantial boost in communication speed and energy efficiency, and thus, tackling the main inhibiting factors of commercializing GSO satellites for broader utilization. The promised improvements of NGSO systems have motivated this paper to provide a comprehensive survey of the state-of-the-art NGSO research focusing on the communication prospects, including physical layer and radio access technologies along with the networking aspects and the overall system features and architectures. Beyond this, there are still many NGSO deployment challenges to be addressed to ensure seamless integration not only with GSO systems but also with terrestrial networks. These unprecedented challenges are also discussed in this paper, including coexistence with GSO systems in terms of spectrum access and regulatory issues, satellite constellation and architecture designs, resource management problems, and user equipment requirements. Finally, we outline a set of innovative research directions and new opportunities for future NGSO research. [less ▲] Detailed reference viewed: 66 (5 UL)![]() Abdullah, Zaid ![]() ![]() ![]() in IEEE International Conference on Communications, Seoul, May 2022 (2022) Detailed reference viewed: 20 (0 UL)![]() Abdullah, Zaid ![]() ![]() ![]() in IEEE Wireless Communications (2022) Detailed reference viewed: 63 (9 UL)![]() Abdullah, Zaid ![]() ![]() ![]() in IEEE International Conference on Communications, Seoul, May 2022 (2022) Detailed reference viewed: 27 (1 UL)![]() Abdu, Tedros Salih ![]() ![]() ![]() Scientific Conference (2022) Through precoding, the spectral efficiency of the system can be improved; thus, more users can benefit from 5G and beyond broadband services. However, complete precoding (using all precoding coefficients ... [more ▼] Through precoding, the spectral efficiency of the system can be improved; thus, more users can benefit from 5G and beyond broadband services. However, complete precoding (using all precoding coefficients) may not be possible in practice due to the high signal processing complexity involved in calculating a large number of precoding coefficients and combining them with symbols for transmission. In this paper, we propose an energy-efficient sparse precoding design, where only a few precoding coefficients are used with lower power consumption depending on the demand. In this context, we formulate an optimization problem that minimizes the number of in-use precoding coefficients and the system power consumption while matching the per beam demand. This problem is nonconvex. Hence, we apply Lagrangian relaxation and successive convex approximation to convexify it. The proposed solution outperforms the benchmark scheme in power consumption and demand satisfaction with the additional advantage of sparse precoding design. [less ▲] Detailed reference viewed: 95 (21 UL)![]() Abdullah, Zaid ![]() ![]() in IEEE Global Communication Conference, Rio de Janeiro, Brazil (2022) Detailed reference viewed: 48 (6 UL)![]() ; Abdullah, Zaid ![]() in IEEE Wireless Communications Letters (2022) Detailed reference viewed: 26 (0 UL)![]() Abdu, Tedros Salih ![]() ![]() ![]() Scientific Conference (2022) The rise of flexible payloads on satellites opens a door for controlling satellite resources according to the user demand, user location, and satellite position. In addition to resource management ... [more ▼] The rise of flexible payloads on satellites opens a door for controlling satellite resources according to the user demand, user location, and satellite position. In addition to resource management, applying precoding on flexible payloads is essential to obtain high spectral efficiency. However, these cannot be achieved using a conventional resource allocation algorithm that does not consider the user demand. In this paper, we propose a demand-aware algorithm based on multiobjective optimization to jointly design the carrier allocation and precoding for better spectral efficiency and demand matching with proper management of the satellite resources. The optimization problem is non-convex, and we solve it using convex relaxation and successive convex approximation. Then, we evaluate the performance of the proposed algorithm through numerical results. It is shown that the proposed method outperforms the benchmark schemes in terms of resource utilization and demand satisfaction. [less ▲] Detailed reference viewed: 54 (12 UL) |
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