References of "Maturo, Nicola"
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See detailClustering-based Adaptive Beam Footprint Design for 5G Urban Macro-Cell
Jubba Honnaiah, Puneeth UL; Lagunas, Eva UL; Maturo, Nicola et al

in 2021 IEEE 4th 5G World Forum (5GWF) - Track 1: 5G Technologies (2021)

In a dense 5G urban-eMBB environment, the user density and traffic loads follow a spatiotemporal variability. To meet high traffic demands, the 5G base stations exploit spatial multiplexing by means of ... [more ▼]

In a dense 5G urban-eMBB environment, the user density and traffic loads follow a spatiotemporal variability. To meet high traffic demands, the 5G base stations exploit spatial multiplexing by means of Active Antenna Systems (AAS) and beamforming. However, pedestrian and vehicular users are highly mobile, rendering non-dynamic beamforming designs totally inefficient in terms of meeting the users’ demand requests. In particular, the latter results in either overload or underutilized beams in a cell. Hence, a practical approach to meet such spatio-temporal heterogeneous demand is to consider dynamic and adaptive beam footprint design that takes into account both the actual users’ position as well as the traffic loads. In this paper, we first study and evaluate the state-of-the-art fixed cell beamforming (based on ITU-R M.2412-0) in a test environment and highlight its drawbacks. Next, we propose a adaptive macro-cell beam footprint design where the beams are dynamically shaped based on the spatial users distribution and their demand requests. Numerical simulations demonstrate the high system performance achieved by the proposed methodology. [less ▲]

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See detailDemand-Aware Beam Design and User Scheduling for Precoded Multibeam GEO Satellite Systems
Jubba Honnaiah, Puneeth UL; Lagunas, Eva UL; Maturo, Nicola et al

in 25th International ITG Workshop on Smart Antennas (WSA 2021) (2021)

For many years, satellite footprints have been fixed from the design phase until the last day of the satellite operational life. Flexibility in coverage by means of reconfigurable beams is becoming ... [more ▼]

For many years, satellite footprints have been fixed from the design phase until the last day of the satellite operational life. Flexibility in coverage by means of reconfigurable beams is becoming increasingly popular thanks to the recent developments in active antenna systems. On the other hand, spatial frequency reuse combined with precoding has been shown to boost the spectral efficiency while lowering the cost per bit. In this context, and motivated by the unbalanced demand requests of the satellite users, we propose a shift from the traditional system-throughput maximization design towards a demand-Aware design, where a new beam shaping technique and user scheduling are combined to satisfy the users’ demands. Supporting numerical results are provided that validate the effectiveness of the proposed beam planning and scheduling and quantify the benefits over conventional rigid techniques. [less ▲]

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See detailCentralized Gateway Concept for Precoded Multi-beam GEO Satellite Networks
Kisseleff, Steven UL; Lagunas, Eva UL; Krivochiza, Jevgenij et al

in VTC2021-Fall Workshop on Evolution of Non-Terrestrial Networks Toward 6G, Sept. 2021 (2021)

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See detailPrecoded Cluster Hopping for Multibeam GEO Satellite Communication Systems
Lagunas, Eva UL; Kibria, Mirza Golam; Al-Hraishawi, Hayder UL et al

in Frontiers in Signal Processing (2021)

Detailed reference viewed: 168 (8 UL)
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See detailForeseeing Semi-Persistent Scheduling in Mode-4 for 5G enhanced V2X communication
Jubba Honnaiah, Puneeth UL; Maturo, Nicola; Chatzinotas, Symeon UL

Poster (2020)

One of the most dominant applications of Ultra Reliable Low Latency Communication of 5G-NR is V2X communication. For such latency-critical V2X communication, the distributed resource allocation using Semi ... [more ▼]

One of the most dominant applications of Ultra Reliable Low Latency Communication of 5G-NR is V2X communication. For such latency-critical V2X communication, the distributed resource allocation using Semi-Persistent Scheduling (SPS) algorithm designed for out-of-coverage (Mode-4) scenario leads to a high collision probability and requires profuse sensing processes. Therefore, a need for more efficient distributed resource allocation scheme is compelled. In this paper, we investigate the 3GPP proposed SPS scheduling algorithm for its performance and formulate the problem under partial sensing systems. Furthermore, we propose a Foreseeing Semi-Persistent Scheduling (F-SPS) algorithm as an enhancement to the existing methodology, and conclusively, simulations are presented to illustrate the improved performance of the proposed F-SPS scheme in terms of reduced collision probability with an optimised number of sensing processes. [less ▲]

Detailed reference viewed: 70 (7 UL)