A Pragmatic Approach to Massive MIMO for Broadband Communication Satellites

Angeletti, Piero; Gaudenzi, R. De

doi:10.1109/access.2020.3009850

Cited by 66 publications

(97 citation statements)

References 31 publications

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“…To alleviate inter-beam interference, we adopt a linear precoding scheme, minimum mean square error (MMSE), which has been widely considered in satellite systems, e.g., [1], [2], [8], [24], [25]. Compared to zero-forcing, maximum-ratio, and dirty-paper coding schemes, MMSE can achieve a good trade-off between high spectral efficiency and low computational complexity [26].…”

Section: B Precoding and Nomamentioning

confidence: 99%

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Wang

Lei

Lagunas

et al. 2021

IEEE Trans. Veh. Technol.

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Non-orthogonal multiple access (NOMA) has potentials to improve the performance of multi-beam satellite systems. The performance optimization in satellite-NOMA systems could be different from that in terrestrial-NOMA systems, e.g., considering distinctive channel models, performance metrics, power constraints, and limited flexibility in resource management. In this paper, we adopt a metric, offered capacity to requested traffic ratio (OCTR), to measure the requested-offered data rate mismatch in multi-beam satellite systems. In the considered system, NOMA is applied to mitigate intra-beam interference while precoding is implemented to reduce inter-beam interference. We jointly optimize power, decoding orders, and terminal-timeslot assignment to improve the max-min fairness of OCTR. The problem is inherently difficult due to the presence of combinatorial and non-convex aspects. We first fix the terminal-timeslot assignment, and develop an optimal fast-convergence algorithmic framework based on Perron-Frobenius theory (PF) for the remaining joint power-allocation and decoding-order optimization problem. Under this framework, we propose a heuristic algorithm for the original problem, which iteratively updates the terminal-timeslot assignment and improves the overall OCTR performance. Numerical results show that the proposed algorithm improves the max-min OCTR by 40.2% over orthogonal multiple access (OMA) in average.Index Terms-Max-min fairness, multi-beam satellite systems, non -orthogonal multiple access (NOMA), offered capacity to requested traffic ratio (OCTR), resource optimization. I. INTRODUCTIONA MULTI-BEAM satellite system provides wireless services to wide-range areas. On the one hand, traffic distribution is typically asymmetric among beams [1]. On the other hand,

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Section: B Precoding and Nomamentioning

confidence: 99%

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Wang

Lei

Lagunas

et al. 2021

IEEE Trans. Veh. Technol.

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“…Motivated by the latest developments in 5G technologies, some works have proposed approaches to massive MIMO for satellite communications [27], where the key challenges to adopt massive MIMO in satellites are studied. The work in [28] further works in this direction and exploits massive MIMO when a large-scale active phased array antenna system is equipped at the LEO satellite side.…”

Section: Massive Mimo In Leo Satellites For Massive Iotmentioning

confidence: 99%

“…, with no azimuth dependence [33]. Furthermore, the q-factor can be formulated as a function of the gain as q = 1 4 G R − 1 2 [27]. The propagation losses are defined in dB as:…”

Section: System Modelmentioning

confidence: 99%

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Smart Beamforming for Direct LEO Satellite Access of Future IoT

Caus

Pérez-Neira

Mendez

2021

Sensors

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Non-terrestrial networks (NTN) are expected to play a key role in extending and complementing terrestrial 5G networks in order to provide services to air, sea, and un-served or under-served areas. This paper focuses the attention on the uplink, where terminals are able to establish a direct link with the NTN at Ka-band. To reduce the collision probability when a large population of terminals is transmitting simultaneously, we propose a grant-free access scheme called resource sharing beamforming access (RSBA). We study RBSA for low Earth orbit (LEO) satellite communications with massive multiple-input multiple-output (MIMO). The idea is to benefit from the spatial diversity to decode multiple overlapped signals. We have devised a blind and open-loop beamforming technique, where neither the receiver must carry out brute-force search in azimuth and elevation, nor are the terminals required to report channel state information. Upon deriving the theoretical throughput, we show that RBSA is appropriate for grant-free access to LEO satellite, it reduces the probability of collision, and thus it increases the number of terminals that can access the media. Practical implementation aspects have been tackled, such as the estimation of the required statistics, and the determination of the number of users.

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“…Basically, the Spectral Efficiency [5] and throughput of the communication system improved using mMIMO Technology for 5G [6]. Also, NOMA is considered for future wireless communication systems which increase the spectral efficiency by allowing two users sharing same carrier [7], [8] .…”

Section: Introductionmentioning

confidence: 99%

Enhanced Diversity Gain of Subcarrier Index Modulated MIMO-GFDM using Constellation Precoding Technique for 5G

2021

Preprint

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The massive growth of mobile users and various applications in coming days requires an enhanced Radio Access Technology (eRAT) to improve the diversity gain and spectral efficiency. Current research on Generalized Frequency Division Multiplexing (GFDM) modulation technique combined with Multi-Input Multi-Output (MIMO) antenna system gives good resource allocation, out band emission and better signal strengths over the existing Orthogonal Multiple Access (OMA) techniques. The proposed scheme explains the improvement of diversity gain, spectral efficiency and energy efficiency of MIMO-GFMD system by combining the benefits of Subcarrier Index Modulation (SIM) and Constellation Precoding (CP) Technique. It is referred as SIM-CP-MIMO-GFDM system. In order to achieve the requirements, in proposed scheme few subcarriers are activated by index modulation bits in quadrature/in-phase dimensions and then data symbols are constellation Precoded. At the receiver, data blocks are detected by using QR Decomposition based Maximum Likelihood (ML) detection. Finally, this paper explains both theoretical and simulation result analysis that the proposed SIM-CP-MIMO-GFDM system outperforms compared to existing systems.

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A Pragmatic Approach to Massive MIMO for Broadband Communication Satellites

Cited by 66 publications

References 31 publications

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Smart Beamforming for Direct LEO Satellite Access of Future IoT

Enhanced Diversity Gain of Subcarrier Index Modulated MIMO-GFDM using Constellation Precoding Technique for 5G

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