Robust Energy-Efficient Hybrid Beamforming Design for Massive MIMO LEO Satellite Communication Systems

Liu, Yang; Li, Changqing; Li, Jiong; Lu, Feng

doi:10.1109/access.2022.3181178

Cited by 17 publications

(8 citation statements)

References 41 publications

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“…Now, we evaluate the performance of the proposed robust precoder (16) for a constant inter-satellite distance D S = 40 km. Furthermore, we assume two different error distributions of the position uncertainty.…”

Section: B Robust Precodingmentioning

confidence: 99%

“…In order to deal with the phase uncertainty, the SINR constraint is relaxed to be satisfied either only in mean, or with a given probabilistic. Similarly, in [15], [16] robust precoder with a relaxed average SINR constraint in the presence of phase uncertainties are presented. The precoder in [15] allows a trade-off between spectral and energy efficiency, while in [16] the energy efficiency for a hybrid precoder is maximized.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, in [15], [16] robust precoder with a relaxed average SINR constraint in the presence of phase uncertainties are presented. The precoder in [15] allows a trade-off between spectral and energy efficiency, while in [16] the energy efficiency for a hybrid precoder is maximized. A precoder under the strict constraint to ensure an SINR above a given threshold in case of bounded position uncertainty is given in [17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission

Röper¹,

Matthiesen²,

Wübben³

et al. 2023

Preprint

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The uplink from a very small aperture terminal (VSAT) towards multiple satellites is considered, in this paper. VSATs can be equipped with multiple antennas, allowing parallel transmission to multiple satellites. A low-complexity precoder based on imperfect positional information of the satellites is presented. The probability distribution of the position uncertainty and the statistics of the channel elements are related by the characteristic function of the position uncertainty. This knowledge is included in the precoder design to maximize the mean signalto-leakage-and-noise ratio (SLNR) at the satellites. Furthermore, the performance w.r.t. the inter-satellite distance is numerically evaluated. It is shown that the proposed approach achieves the capacity for perfect position knowledge and sufficiently large inter-satellite distances. In case of imperfect position knowledge, the performance degradation of the robust precoder is relatively small.

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Section: B Robust Precodingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission

Röper¹,

Matthiesen²,

Wübben³

et al. 2023

Preprint

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show abstract

“…In [270], broad coverage transmission is investigated for massive MIMO satellite systems, and a precoder design is proposed based on the min-max criterion. Further, Hybrid beamforming is investigated in [271] for LEO massive MIMO satellite systems to design an energy-efficient scheme that is robust CSI errors.…”

Section: B Massive Mimomentioning

confidence: 99%

Precoding for High Throughput Satellite Communication Systems: A Survey

Khammassi¹,

Kammoun²,

Alouini³

2022

Preprint

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With the expanding demand for high data rates and extensive coverage, high throughput satellite (HTS) communication systems are emerging as a key technology for future communication generations. However, current frequency bands are increasingly congested. Until the maturity of communication systems to operate on higher bands, the solution is to exploit the already existing frequency bands more efficiently. In this context, precoding emerges as one of the prolific approaches to increasing spectral efficiency. This survey presents an overview and a classification of the recent precoding techniques for HTS communication systems from two main perspectives: 1) a problem formulation perspective and 2) a system design perspective. From a problem formulation point of view, precoding techniques are classified according to the precoding objective, group, and level. From a system design standpoint, precoding is categorized based on the system architecture, the precoding implementation, and the type of the provided service. Further, practical system impairments are discussed, and robust precoding techniques are presented. Finally, future trends in precoding for satellites are addressed to spur further research.

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“…In particular, the authors in [6] have proposed an mMIMO scheme for low-Earth orbit (LEO) satellites in which the full-frequency-reuse downlink precoding and uplink detection frameworks are implemented based on statistical channel state information (CSI) to maximize both the average signal-to-leakage-plus-noise ratio (SLNR) and the signal-tointerference-plus-noise ratio (SINR). Additionally, the works in [7], [8] have suggested implementing hybrid precoding frameworks for mMIMO-enabled SATCOM. However, the computational complexity of these works is still too high to be implemented on satellite payloads.…”

Section: Introductionmentioning

confidence: 99%

Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication

Abdullah

Eappen

et al. 2022

2022 IEEE Globecom Workshops (GC Wkshps)

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This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology. The codebook of beamforming weights is built using the columns of the discrete Fourier transform (DFT) matrix, and the resulting joint design maximizes the achievable throughput under limited transmission power. The corresponding optimization problem is first formulated as a mixed integer non-linear programming (MINP). To adequately address this challenging problem, an efficient LP and DFT-based beamforming algorithm are developed by utilizing several optimization tools, such as the weighted minimum mean square error transformation, duality method, and Hungarian algorithm. In addition, a greedy algorithm is proposed for benchmarking. A complexity analysis of these solutions is provided along with a comprehensive set of Monte Carlo simulations demonstrating the efficiency of our proposed algorithms.

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Robust Energy-Efficient Hybrid Beamforming Design for Massive MIMO LEO Satellite Communication Systems

Cited by 17 publications

References 41 publications

Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission

Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission

Precoding for High Throughput Satellite Communication Systems: A Survey

Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication

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