Massive MIMO Transmission for LEO Satellite Communications
arXiv:2002.08148 · doi:10.1109/JSAC.2020.3000803
Abstract
Low earth orbit (LEO) satellite communications are expected to be incorporated in future wireless networks, in particular 5G and beyond networks, to provide global wireless access with enhanced data rates. Massive MIMO techniques, though widely used in terrestrial communication systems, have not been applied to LEO satellite communication systems. In this paper, we propose a massive MIMO transmission scheme with full frequency reuse (FFR) for LEO satellite communication systems and exploit statistical channel state information (sCSI) to address the difficulty of obtaining instantaneous CSI (iCSI) at the transmitter. We first establish the massive MIMO channel model for LEO satellite communications and simplify the transmission designs via performing Doppler and delay compensations at user terminals (UTs). Then, we develop the low-complexity sCSI based downlink (DL) precoder and uplink (UL) receiver in closed-form, aiming to maximize the average signal-to-leakage-plus-noise ratio (ASLNR) and the average signal-to-interference-plus-noise ratio (ASINR), respectively. It is shown that the DL ASLNRs and UL ASINRs of all UTs reach their upper bounds under some channel condition. Motivated by this, we propose a space angle based user grouping (SAUG) algorithm to schedule the served UTs into different groups, where each group of UTs use the same time and frequency resource. The proposed algorithm is asymptotically optimal in the sense that the lower and upper bounds of the achievable rate coincide when the number of satellite antennas or UT groups is sufficiently large. Numerical results demonstrate that the proposed massive MIMO transmission scheme with FFR significantly enhances the data rate of LEO satellite communication systems. Notably, the proposed sCSI based precoder and receiver achieve the similar performance with the iCSI based ones that are often infeasible in practice.
31 pages, 4 figures
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Cited by in corpus (24)
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- Integrated Communications and Localization for Massive MIMO LEO Satellite Systems
- Massive MIMO Hybrid Precoding for LEO Satellite Communications With Twin-Resolution Phase Shifters and Nonlinear Power Amplifiers
- Multi-layer Space Information Networks: Access Design and Softwarization
- Rate-Splitting Multiple Access and its Interplay with Intelligent Reflecting Surfaces
- Broadband Non-Geostationary Satellite Communication Systems: Research Challenges and Key Opportunities
- Distributed satellite information networks: Architecture, enabling technologies, and trends
- A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms
- Power-Efficient Full-Duplex Satellite Communications Aided by Movable Antennas
- LEO- and RIS-Empowered User Tracking: A Riemannian Manifold Approach
- Intermittent Jamming against Telemetry and Telecommand of Satellite Systems and A Learning-driven Detection Strategy
- Semi-blind Channel Estimation for Massive MIMO LEO Satellite Communications
- Ergodic Sum Rate Capacity Achieving Transmit Design for Massive MIMO LEO Satellite Uplink Transmission
- Downlink Performance of Cell-Free Massive MIMO for LEO Satellite Mega-Constellation
- A hybrid beamforming design for massive MIMO LEO satellite communications
- Low-Power Double RIS-Assisted Mobile LEO Satellite Communications
- Joint Localization and Orientation with Triple-Beam Fingerprints in Massive MIMO-OFDM
- SmartUT: Receive Beamforming for Spectral Coexistence of NGSO Satellite Systems