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“…5) HO Management: As mentioned earlier, HO is one of the challenges in satellite-based systems. In [253], the problem of handover and user's QoE is addressed. Given the periodic motion of satellites, first the HO factors are anticipated.…”
Section: B Ml-powered Satellite Networkmentioning
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“…5) HO Management: As mentioned earlier, HO is one of the challenges in satellite-based systems. In [253], the problem of handover and user's QoE is addressed. Given the periodic motion of satellites, first the HO factors are anticipated.…”
Section: B Ml-powered Satellite Networkmentioning
“…Overview UAV Satellite Multi ML [199]- [201] SL [207]- [210] UL [207], [208] RL [221]- [224], [234], [235] Resource Allocation [226]- [228], [243]- [251] Beam Hopping [229], [249], [272] IoT [227], [228], [250], [273] MEC [32], [252] HO Management [253] Interference Management [254], [255] Others Channel Modeling [256]- [258] Remote Sensing [259]- [264] Traffic Classification [265]- [267] Anti Jamming [268]- [271] MEC [144], [225], [274], [275] IoT [144], [274], [276] Others [277], [278] 3D Placement and Trajectory Design [58], [231]- [233], [279]-…”
Section: Ml-poweredmentioning
“…Compared to simple linear weighting, Miao et al adopted a multiple attribute decision algorithm to make handover decisions, comprehensively considering the received signal strength, remaining service time, as well as and satellite idle channels [95]. To avoid the influence of artificial prior information and improve the flexibility of the strategy, Xu et al exploit AI to overcome multicriteria optimization problems [96].…”
Section: ) Intersatellite Handovermentioning
“…Wu et al [17] minimize the handover times, decrease call-dropping probability He et al [18] load-aware balance load, maintain low signaling overhead Miao et al [19] single strength reduce handover times, balance load and guarantee QoS Zhang et al [20] number of users, satellite power reduce handover times, balance load and guarantee SNR Xu et al [21] routing delay reduce handover times, failure rate and transition delay Besides factors related to the communication metrics, resource management by considering the integration of communication, computing and caching (3C) is also important for future mobile edge computing (MEC) enhanced satellite systems [22]. Caching data at satellite nodes can improve communication efficiency by avoiding duplicate transmissions [23,24].…”
Section: Multiple Attributementioning
“…Zhang et al [20] considered the impacts of channel quality, remaining service time, and the number of service users on handover strategy, and they used the entropy method to weight each factor and transform it into a single objective optimization problem. Xu et al [21] analyzed a quality of experience (QoE)-driven handover strategy, which considered routing delay, remaining service times, and remaining idle channels with high-speed mobile users for LEO satellite networks. Table 1 shows the summary and comparison of the above studies.…”
Section: Introductionmentioning