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Abid Afridi

Publications and source records attributed to Abid Afridi.

2 recordsLinked to original sources

Spatial and Temporal Correlation of Interference in a Narrow Multibeam LEO Satellite Random Access Network

Interference is a limiting factor in the emerging dense low Earth orbit (LEO) networks. In the LEO network, the interference is spatially and temporally correlated. At narrow-beam LEO base stations (BSs), spatial interference can vary significantly, and multipath fading introduces temporal variation. While developing novel stochastic geometry analysis in a multibeam scenario, we explore spatio-temporal interference correlation in the LEO uplink. We derive a closed-form expression for the spatio-temporal interference correlation coefficient. As an application of the analysis, we show that the signal-to-interference ratio (SIR) entails significant spatial clustering. In this regard, we demonstrate that an appropriately designed grant-free random access scheme, particularly slotted ALOHA, can mitigate spatial SIR clustering over the beams while preserving average throughput. Furthermore, we propose a novel gamma distribution model for the interference power distribution and a Lomax distribution model for the SIR.

eess.SP

Load Balancing in Non-Terrestrial Networks Using Free Space Optical Inter-satellite Links

Non-terrestrial networks (NTNs) increasingly rely on non-geostationary (NGSO) constellations that combine radio frequency (RF) feeder links (FLs) with free space optical (FSO) inter-satellite links (ISLs). Downlink performance in such systems is often constrained by uneven satellite-gateway visibility, data traffic congestion, and rain-induced FL attenuation, leaving the downlink capacity of some satellites underutilized while others become bottlenecks. To prevent such non-uniform load distribution, this paper presents a fairness-driven load balancing strategy that treats the satellite constellation in space as an anycast multi-commodity flow problem. Then, by solving an equivalent linear programming optimization problem, the proposed algorithm dynamically selects the most convenient ground station (GS) to serve each satellite and, when needed, offloads data traffic to adjacent satellites through FSO ISLs. Using a realistic MEO satellite constellation with 1550 nm FSO ISLs and Ka-band feeder links, the method stabilizes the reverse link data service, maintaining the average data rate but notably improving the worst-case throughput. Our proposed algorithm enhances the minimum downlink data rate by more than 25% in the presence of rain and by over 10% under no-rain conditions. These results demonstrate that the use of an ISL-assisted load-balancing scheme mitigates FL bottlenecks and enhances fairness across the satellite constellation, offering a scalable basis for resource allocation in future NTN systems.

eess.SP