2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) 2012
DOI: 10.1109/setit.2012.6481977
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Optimization of the problem of Handover in the constellations of satellites in low orbit

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Cited by 4 publications
(3 citation statements)
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“…The weights of the graph are assigned regarding various handover standards. El Houda Hedjazi et al [22] evaluated several LEO satellite constellation channel allocation strategies and simulated the impact of handover on the probability of call blocking. A satellite handover strategy based on the potential game of mobile terminals in the LEO network is presented [23].…”
Section: A Satellite Handovermentioning
confidence: 99%
See 1 more Smart Citation
“…The weights of the graph are assigned regarding various handover standards. El Houda Hedjazi et al [22] evaluated several LEO satellite constellation channel allocation strategies and simulated the impact of handover on the probability of call blocking. A satellite handover strategy based on the potential game of mobile terminals in the LEO network is presented [23].…”
Section: A Satellite Handovermentioning
confidence: 99%
“…Finally, we conclude this paper and highlight further directions of research in Section VI. For convenience, [20] receiving signal strength, remaining service time, satellites' idle channels [16] real-time handover trace angle, service time [21] graph-based path finding elevation angle, the number of free channels [24] user-centric handover satellite cluster, the length of handover window [25] MARL-based handover elevation angle, service state, channel budget [23] SDSN potential game-based handover bipartite graph, available channels, userspace reducing call blocking probability [17] STN Doppler-based prioritization doppler shift, terminals' geometric characteristics [22] channel assignment available channels, mission priority handover scenario analysis [18] common coverage area based handover service time, distance, number of idle channels [19] satellite network cross-layer handover instantaneous elevation angle, handover rate inter-satellite routing improving routing adaptability [26] satellite network ISL state information based routing logical topology, satellite link state information, actual location information, delay reducing routing overhead [27] memory-efficient routing location prediction, network recovery, flooding [28] area-based hierarchical routing satellite grouping, handover region size, neighbor avoiding data overcommitment [29] network-layer routing the information about the schedule of future contacts between network nodes, satellite motion routing arrival [31] evolving graph link connectivity prediction, the earliest path balancing delay and bandwidth [32] bandwidth-delay satellite routing delay, bandwidth, weight factor of satellite links optimizing throughput [33] network coding based multipath cooperative routing network coding, ACK, packet batch size, transmission times ensuring transmission QoS [34] storage time aggregated graph flow-maximizing, the shortest path saving energy consumption [36] set of power model link cost, recharge/discharge cycle number [37] DRL the acronyms of this paper are listed in Table I.…”
Section: Introductionmentioning
confidence: 99%
“…Few studies have been carried out on the issue of satellite handover, investigating channel allocation policies for new and handover contacts using mainly fixed channel allocation (FCA) techniques. In this paper different queuing policies for handover requests were investigated in order to enhance them in air navigation satellite communication [9]. This paper is organized as follows: Section 2 presents the data model and lists the assumptions and some preliminary notions.…”
Section: Introductionmentioning
confidence: 99%