Sum Rate Maximization of Massive MIMO NOMA in LEO Satellite Communication System

Gao, Zhixiang; Liu, Aijun; Liang, Xiaohu

doi:10.1109/lwc.2021.3076579

Cited by 48 publications

(34 citation statements)

References 15 publications

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“…Therefore, the time variation, multipath propagation and Doppler effects should be considered in the LEO satellite channel. Then, the channel response in the time-frequency domain can be represented as [43]- [46]…”

Section: System Modelmentioning

confidence: 99%

“…Note that the special prior leads to the 2D-convolution-based update in the EM algorithm, considering the elements both along the delay-Doppler domain and angular domain, and thus matches the 2D burst block sparsity. Finally, the precision of noise can be updated according to (46). When the channel has been estimated, we propose to adopt the energy-based detector to get the active device, i.e.,…”

Section: Low Complexity Sbl With Gampmentioning

confidence: 99%

“…A practical design of massive MIMO combined with the radio resource management approach was proposed in [42] to ease its implementation at the satellite payload level. The applications of massive MIMO along with full frequency reuse in the multi-user LEO satellite communications were considered in [43]- [46]. Motivated by this, we exploit the massive MIMO in the LEO satellite communications.…”

Section: Introductionmentioning

confidence: 99%

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Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Shen,

Wu,

et al. 2022

Preprint

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This paper considers the joint channel estimation and device activity detection in the grant-free random access systems, where a large number of Internet-of-Things devices intend to communicate with a low-earth orbit satellite in a sporadic way. In addition, the massive multiple-input multipleoutput (MIMO) with orthogonal time-frequency space (OTFS) modulation is adopted to combat the dynamics of the terrestrialsatellite link. We first analyze the input-output relationship of the single-input single-output OTFS when the large delay and Doppler shift both exist, and then extend it to the grant-free random access with massive MIMO-OTFS. Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-FM) is developed for the channel estimation. Then, the active devices are detected by computing the energy of the estimated channel. Finally, the generalized approximate message passing algorithm combined with the sparse Bayesian learning and twodimensional convolution (ConvSBL-GAMP) is proposed to decrease the computations of the TDSBL-FM algorithm. Simulation results demonstrate that the proposed algorithms outperform conventional methods.

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Section: System Modelmentioning

confidence: 99%

Section: Low Complexity Sbl With Gampmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Shen,

Wu,

et al. 2022

Preprint

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“…In addition, in LEO satellite systems, the hardware restriction and power supplement mechanism impose the significance of considering the EE metric, which trades off between the downlink data rate and the power consumption at the transmitter [17]. To that end, in [18], [19], the authors investigated the adoption of the hybrid precoding scheme into the LEO SATCOM systems to improve the sum rate or the EE performance at a reduced number of RF chains.…”

Section: Introductionmentioning

confidence: 99%

Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems

You,

Qiang,

Tsinos

et al. 2022

Preprint

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The space-air-ground-sea integrated network (SAGSIN) plays an important role in offering global coverage. To improve the efficient utilization of spectral and hardware resources in the SAGSIN, integrated sensing and communications (ISAC) has drawn extensive attention. Most existing ISAC works focus on terrestrial networks and can not be straightforwardly applied in satellite systems due to the significantly different electromagnetic wave propagation properties. In this work, we investigate the application of ISAC in massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite systems. We first characterize the statistical wave propagation properties by considering beam squint effects. Based on this analysis, we propose a beam squint-aware ISAC technique for hybrid analog/digital massive MIMO LEO satellite systems exploiting statistical channel state information. Simulation results demonstrate that the proposed scheme can operate both the wireless communications and the target sensing simultaneously with satisfactory performance, and the beam-squint effects can be efficiently mitigated with the proposed method in typical LEO satellite systems.

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“…Comparing with geosynchronous earth orbit (GEO) satellites, LEO satellite is at a lower height from the earth's surface, which can reduce signal transmission delay and increase communication accuracy 23,24 . Moreover, the cost of LEO satellite manufacturing is lower, and mass production can be achieved 25 . A large number of LEO satellites will fully cover the earth and form a huge satellite constellation network to achieve a synchronization purpose.…”

Section: Introductionmentioning

confidence: 99%

The performance analysis of NOMA in LEO satellite rain attenuation and fading hybrid channel

Ning

Yang

Chen

et al. 2021

Satell Commun Network

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In the fifth-generation (5G) and future sixth-generation (6G) networks, improving spectral efficiency and system capacity is still the main concern. Adding LEO satellite to the construction of 5G and 6G can make the network structure three-dimensional, which lets the network construction get rid of the limitation of ground space propagation distance and makes the wider area enjoy the convenience of 5G and 6G. However, due to the large link distance between space and the ground, the communication of LEO satellite in Ka band is greatly affected by rain attenuation and shadow fading. In order to improve the ergodic capacity of LEO satellite downlink, this paper attempts to apply nonorthogonal multiple access (NOMA) to hybrid channels with rainfall fading and shadow fading. In the simulation results, the ergodic capacity of orthogonal frequency division multiple access (OFDMA) and NOMA is compared, and it is found that the system capacity of hybrid channel can be improved by increasing the power allocation factor of NOMA. The experiments have studied the influence of LEO satellite's orbital height, fading degree, and transmission power in the communication link on the performance of LEO satellite system in this paper.The experimental results show that the lower the orbit height is, the better system performance will become under the same fading degree. Moreover, the energy consumed gradually decreases with the transmission power becoming small.

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Sum Rate Maximization of Massive MIMO NOMA in LEO Satellite Communication System

Cited by 48 publications

References 15 publications

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems

The performance analysis of NOMA in LEO satellite rain attenuation and fading hybrid channel

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