Joint User Pairing and Power Allocation for NOMA-Based GEO and LEO Satellite Network

Ge, Ruixing; Bian, Dongming; Cheng, Jianwei; An, Kang; Hu, Jing; Li, Guangxia

doi:10.1109/access.2021.3078458

Cited by 16 publications

(7 citation statements)

References 40 publications

(52 reference statements)

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“…Yan et al [6] developed conditions for establishing inter-layer links for IGSO/MEO two-layer satellite networks, taking into account beam coverage. Ge et al [7] proposed a heterogeneous framework combining GEO and LEO systems with a NOMA scheme to multiplex frequency resources and improve spectral efficiency, taking into account the uplink. Tengyue et al [8] use the backbone/access network model and the "moderately connected" interstellar link concept to design a dual LEO/MEO link layer network architecture that meets the quality of service while reducing the complexity of the network system.…”

Section: Related Workmentioning

confidence: 99%

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An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

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In Low Earth Orbit (LEO) satellite networks, satellites operate fast and the inter-satellite link change period is short. In order to sense the spectrum state in LEO satellite networks in realtime, a space-based satellite network intelligent spectrum sensing algorithm based on artificial neural network (ANN) is proposed, while Geosynchronous Earth Orbit (GEO) satellites are introduced to make fast and effective judgments on the spectrum state of LEO satellites by using their stronger arithmetic power. Firstly, the visibility constraints between LEO satellites and GEO satellites are analyzed to derive the inter-satellite link building matrix and complete the inter-satellite link situational awareness. Secondly, an ANN-based energy detection (ANN-ED) algorithm is proposed based on the traditional energy detection algorithm and artificial neural network. The ANN module is used to determine the spectrum state and optimize the traditional energy detection algorithm. GEO satellites are used to fuse the information sensed by LEO satellites and then give the spectrum decision, thereby realizing the inter-satellite spectrum state sensing. Finally, the sensing quality is evaluated by the analysis of sensing delay and sensing energy consumption. The simulation results show that our proposed algorithm has lower complexity, the sensing delay and sensing energy consumption compared with the traditional energy detection method.

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Section: Related Workmentioning

confidence: 99%

“…Based on the wide area of satellite coverage, it is assumed that the sensing satellite can receive The resulting Doppler shift is given by (7).…”

Section: Path Cost Of Signal Transmissionmentioning

confidence: 99%

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

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“…Many works on the satellite-terrestrial integrated networks (STINs) have been focused on enhancing system performance by power or resource allocation. A joint user pairing and power allocation scheme in a NOMA-based geostationary earth orbit (GEO) and low earth orbit (LEO) multi-layer satellite networks (MLSNs) was investigated in [8], in which a novel NOMA framework with two uplink receivers was considered to maximize the system capacity. In [9], the NOMA was utilized into massive multiple input multiple output (mMIMO) LEO satellite communication system (SCS) to enhance SE by considering the transmitted power, QoS constraints, imperfect SIC and imperfect channel state information (CSI).…”

Section: A Prior Workmentioning

confidence: 99%

“…3) Constraint-handling approach Several constraints exist in our problem formulated in (8). Hence, a penalty mechanism is presented to deal with the constraints.…”

Section: Teaching-learning-based Optimizationmentioning

confidence: 99%

Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission

Mirbolouk

Valizadeh

Amirani

et al. 2022

IEEE Trans. Veh. Technol.

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Non-orthogonal multiple access (NOMA) and coordinated multi-point (CoMP) are two fundamental techniques considered for the fifth generation (5G) of wireless communications. In this paper, a hybrid satellite-unmanned aerial vehicle (UAV) relay network (HSURN) is proposed where the UAV relays (URs) employ CoMP transmission to serve the terrestrial users (UEs). Furthermore, all UEs associated with the CoMP-URs form a single NOMA cluster. For this model, an optimization problem is formulated subject to the minimum quality of services (QoSs) requirements of the UEs, transmission power budgets and, successive interference cancellation (SIC), to select URs and allocate their transmission powers for the energy efficiency (EE) maximization. With this insight, first, a computationally efficient sub-optimal UR selection scheme is proposed. Then, the powers are allocated to the selected URs via the Lagrange multipliers optimization (LMO) method. Due to the non-convex nature of the considered problem, it is relatively difficult to be solved. Hence, a metaheuristic teaching-learning-based optimization (TLBO) algorithm is employed to achieve an efficient solution. Simulation results are provided to verify the effectiveness of the proposed sub-optimal relay selection scheme and the TLBO-based power allocation method compared to the LMO conventional method. Besides, the obtained results also reveal that the CoMP-NOMA transmission in the proposed scenario significantly improves the spectral efficiency (SE) and outage probability (OP) of the system compared to non-comp NOMA transmission case.Index Terms-Non-orthogonal multiple access (NOMA), Coordinated multi-point (CoMP) transmission, energy efficiency (EE), UAV relay selection, satellite terrestrial network, outage probability (OP). I. INTRODUCTIONThe 5G-satellite networks in the integrated architecture have emerged as a valuable infrastructure to meet the future radio access of smart devices. Combining satellite components into wireless systems is not only an indispensable way to provide seamless coverage and large capacity for users all over the world but also to ensure high QoS expectations [1]. Mobile satellite networks have been viewed as a promising technique for the smart grid, internet-of-thing (IoT), wireless sensor

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“…Additionally for NOMA-UAV networks in [20], a path following algorithm was proposed to formulate the max-min rate optimization under NOMA scheme with a UAV serving a large number of ground users. Multi-layer NOMA satellite network was studied in [21], joint user pairing and power allocation scheme were introduced to deal the frequency interference coordination between different orbits. Different from studying on geostationary orbit scenarios, the authors of [22] studied a low earth orbit satellite NOMA system, huge time delay and Doppler shift were taken into consideration carefully.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable Intelligent Surface Assisted Non-Terrestrial NOMA Networks

Lian

Yue

et al. 2022

Wireless Communications and Mobile Computing

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This paper considers the application of reconfigurable intelligent surface (RIS) to non-terrestrial non-orthogonal multiple access (NOMA) networks. More specifically, the performance of a pair of non-orthogonal users for RIS assisted non-terrestrial NOMA networks is investigated over large-scale fading and Nakagami- m fading cascaded channel. The exact and asymptotic expressions of outage probability are derived for the nearby user and distant user with the imperfect successive interference cancellation (SIC) and perfect SIC schemes. Based on the approximated results, the diversity orders of these two users are obtained in the high signal-to-noise ratios. The simulation results are used to verify the theoretical derivations and find that: 1) The outage behaviors of RIS assisted non-terrestrial NOMA networks outperforms than that of orthogonal multiple access; 2) By increasing the number of reflecting elements of RIS and Nagakami- m fading factors m ′ and Ω , RIS-assisted non-terrestrial NOMA networks are able to achieve the enhanced outage performance.

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Joint User Pairing and Power Allocation for NOMA-Based GEO and LEO Satellite Network

Cited by 16 publications

References 40 publications

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission

Reconfigurable Intelligent Surface Assisted Non-Terrestrial NOMA Networks

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