2019
DOI: 10.1109/access.2019.2942167
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Performance Analysis and Power Allocation for NOMA-Based Hybrid Satellite-Terrestrial Relay Networks With Imperfect Channel State Information

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Cited by 42 publications
(35 citation statements)
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“…For example, in [13][14][15], amplify-and-forward (AF) relaying is employed to enhance the performance of HSTRN. In contrast, HSTRN was considered in relaying mode using the decode-and-forward (DF) as in [16,17]. The HSTRN was studied in a system model that combines the beamforming technique and AF transmission mode [18].…”
Section: Related Workmentioning
confidence: 99%
“…For example, in [13][14][15], amplify-and-forward (AF) relaying is employed to enhance the performance of HSTRN. In contrast, HSTRN was considered in relaying mode using the decode-and-forward (DF) as in [16,17]. The HSTRN was studied in a system model that combines the beamforming technique and AF transmission mode [18].…”
Section: Related Workmentioning
confidence: 99%
“…In [123], the authors quantitatively evaluated the effect of imperfect CSI in terms of the outage probability and ergodic capacity in a cognitive satellite-terrestrial network. In [124], the authors considered the CSI imperfections to formulate a closed-form expression for the outage probability in a hybrid satelliteterrestrial relay network based on NOMA. To allow for data transmissions over multi-way satellite relaying systems, the authors in [125] formulated a novel method of channel estimation.…”
Section: B Propagation Delay Managementmentioning
confidence: 99%
“…Such NSHT enhances ability of spectrum sharing in the manner of the underlay architecture. The work in [27] considered NSHT by applying both the decode-andforward (DF) and amplify-and-forward (AF) protocols at the relay and the imperfection of channel state information (CSI) at all nodes. Furthermore, NOMA can be applied to edge computing and content caching in wireless networks to enable the emerging networks which provide high-quality services for users [28], [29].…”
Section: Introductionmentioning
confidence: 99%