Uplink Power Control in Massive MIMO With Double Scattering Channels

Chien, Trinh Van; Ngo, Hien Quoc; Chatzinotas, Symeon; Ottersten, Björn; Debbah, Mérouane

doi:10.1109/twc.2021.3108849

Cited by 20 publications

(8 citation statements)

References 38 publications

(130 reference statements)

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“…denotes the confluent hyper-geometric function of the first kind [48, Eq.9.210.1]. For arbitrary integer-valued fading severity parameters, one can simplify 1 F 1 (m n ; 1; δ n x) 3 The channel model considered in this paper matches well with actual measurements from the propagation environments with rich scatterers around the receivers and without a dominant path [43]. A more general model such as [44] should be considered in a future work.…”

Section: A Channel Modelmentioning

confidence: 71%

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Security and Reliability Analysis of Satellite-Terrestrial Multirelay Networks With Imperfect CSI

Nguyen

Tran

Chien

et al. 2023

IEEE Systems Journal

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This work investigates the security and reliability analysis for a novel satellite-terrestrial (SatTer) network. Specifically, a satellite attempts to transmit confidential information to a ground user (GU) via the support of multiple relay nodes in the presence of an eavesdropper that tries to overhear the information. A friendly jammer is deployed to improve the secure transmission between the satellite and the relays. Furthermore, satellite-to-relay generalized Rician fading channels and imperfect channel state information (CSI) are deployed to examine a general system model. In this context, the closed-formed expressions for the outage probability (OP) and intercept probability (IP) are derived corresponding to an amplify-and-forward (AF)-based relaying scheme, which is challenging and has not been studied before. Finally, the exactness of the mathematical analyses is validated through Monte Carlo simulations. Furthermore, the effects of various key parameters (e.g., channel estimation errors, satellite's transmit power, relay's transmit power, number of relays, and fading severity parameter) are examined.Index Terms-Cooperative relay, imperfect CSI, physical layer security, satellite communications, shadowed Rician channel I. INTRODUCTIONRecently, the Internet of Things (IoT) has been spread worldwide due to its various applications such as smart cities, smart farming, wearable devices, healthcare, and smart communications [1]-[3]. Nevertheless, the explosive growth of the number of IoT devices (IoTDs) has brought new challenges to the traditional cellular networks due to its Manuscript

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Section: A Channel Modelmentioning

confidence: 71%

“…After computing the integral in (43) and doing some algebra, we obtain the result as shown in the theorem.…”

Section: B Proof Of Theoremmentioning

confidence: 99%

Security and Reliability Analysis of Satellite-Terrestrial Multirelay Networks With Imperfect CSI

Nguyen

Tran

Chien

et al. 2023

IEEE Systems Journal

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“…Thanks to the semiclosed form power solution, a fine-tuning should be made to integrate the water filling method into Algorithm 1 on a caseby-case basis. Solve problem (31) with the order in (32) to obtain Q * as in (33) and…”

Section: Satellite Communications With Linear Precoding and Water Fil...mentioning

confidence: 99%

“…Besides, in [30], the congestion issue was handled by maximizing the minimum spectral efficiency of the users and neglecting the users' demands, which is a distinct issue that could result in none of the QoS requirements being met. Different solutions to handle the total energy minimization optimization problem under congestion was introduced in [31]. Nonetheless, all these related works considered the congestion control by formulating single objective optimization problems and using a traditional model-based optimization theory to obtain the solution.…”

Section: Introductionmentioning

confidence: 99%

Robust Congestion Control for Demand-Based Optimization in Precoded Multi-Beam High Throughput Satellite Communications

Bui

Chien

Lagunas

et al. 2022

IEEE Trans. Commun.

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High-throughput satellite communication systems are growing in strategic importance thanks to their role in delivering broadband services to mobile platforms and residences and/or businesses in rural and remote regions globally. Although precoding has emerged as a prominent technique to meet everincreasing user demands, there is a lack of studies dealing with congestion control. This paper enhances the performance of multi-beam high throughput geostationary satellite systems under congestion, where the users' quality of service (QoS) demands cannot be fully satisfied with limited resources. In particular, we propose congestion control strategies, relying on simple power control schemes. We formulate a multi-objective optimization framework balancing the system sum-rate and the number of users satisfying their QoS requirements. Next, we propose two novel approaches that effectively handle the proposed multiobjective optimization problem. The former is a model-based approach that relies on the weighted sum method to enrich the number of satisfied users by solving a series of the sum-rate optimization problems in an iterative manner. The latter is a data-driven approach that offers a low-cost solution by utilizing supervised learning and exploiting the optimization structures as continuous mappings. The proposed general framework is evaluated for different linear precoding techniques, for which the low computational complexity algorithms are designed. Numerical results manifest that our proposed framework effectively handles the congestion issue and brings superior improvements of rate satisfaction to many users than previous works. Furthermore, the proposed algorithms show low run-time and make them realistic for practical systems.

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“…Therefore, in this paper, we also assume that the equivalent channels are full rank and consequently problem (10) is feasible. Moreover, some special cases that any equivalent channel is low rank, the problem can also be handled by finding a suitable initial point or the method in [43].…”

Section: A Joint Transmit Beamforming and Ideal Phase-shift Designmentioning

confidence: 99%

IRS-assisted Multi-cell Multi-band Systems: Practical Reflection Model and Joint Beamforming Design

Cai¹,

Liu²,

Li³

et al. 2022

Preprint

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Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/hardware-efficient manner. However, most existing studies on IRS optimizations are based on a simple and ideal reflection model that is impractical in hardware implementation, which thus leads to severe performance loss in realistic wideband/multi-band systems. To deal with this problem, in this paper we first propose a more practical and more tractable IRS reflection model that describes the difference of reflection responses for signals at different frequencies. Then, we investigate the joint transmit beamforming and IRS reflection beamforming design for an IRS-assisted multi-cell multi-band system. Both power minimization and sum-rate maximization problems are solved by exploiting popular second-order cone programming (SOCP), Riemannian manifold, minimization-majorization (MM), weighted minimum mean square error (WMMSE), and block coordinate descent (BCD) methods. Simulation results illustrate the significant performance improvement of our proposed joint transmit beamforming and reflection design algorithms based on the practical reflection model in terms of power saving and rate enhancement.

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Uplink Power Control in Massive MIMO With Double Scattering Channels

Cited by 20 publications

References 38 publications

Security and Reliability Analysis of Satellite-Terrestrial Multirelay Networks With Imperfect CSI

Security and Reliability Analysis of Satellite-Terrestrial Multirelay Networks With Imperfect CSI

Robust Congestion Control for Demand-Based Optimization in Precoded Multi-Beam High Throughput Satellite Communications

IRS-assisted Multi-cell Multi-band Systems: Practical Reflection Model and Joint Beamforming Design

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