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Distributionally robust chance-constrained transmit beamforming for multiuser MISO downlink
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Under this error model, we formulate a distributionally robust beamforming (DRB) problem, in which the total transmit power at the BS is to be minimized, while each user's SINR outage probability, evaluated ...
We show that the resulting DRB problem still admits a conic reformulation and can be approximately solved using SDR. The robustness of the proposed designs are demonstrated by numerical simulations. ...
Under this moment-based error model, we formulate a new distributionally robust beamforming (DRB) problem, in which the beamformers are designed to minimize the total transmit power at the BS, while the ...
doi:10.1109/icassp.2014.6854247
dblp:conf/icassp/LiSM14
fatcat:4qicwe2mdfd3dazszjovq7avve
Joint Secure Communication and Radar Beamforming: A Secrecy-Estimation Rate-Based Design
[article]
2022
arXiv
pre-print
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Simulation results demonstrate the efficacy and robustness of the proposed designs. ...
This paper considers transmit beamforming in dual-function radar-communication (DFRC) system, where a DFRC transmitter simultaneously communicates with a communication user and detects a malicious target ...
"DRB (proposed)" represents the proposed distributionally robust beamforming design in this paper. ...
arXiv:2211.12667v1
fatcat:mzc5qdu2cvchvjhxkadi24z6uy
Distributionally Robust Secure Transmission for MISO Downlink Networks with Assisting Jammer
2019
IEEE Access
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INDEX TERMS Physical layer security, distributionally robust beamforming, chance constraints, assisting jammer, convex optimization. ...
In this paper, we propose the distributionally robust secure transmit schemes in multi-input single-output (MISO) downlink wireless networks which consist of a transmitter, a desired receiver, multiple ...
For example, in [28] , a distributionally robust sub-optimal linear receiver was designed for multi-access space-time block coded systems. ...
doi:10.1109/access.2019.2933277
fatcat:gn2frtn42fejvkhmssyi7wl464
Multiple-Antenna Aided Aeronautical Communications in Air-Ground Integrated Networks: Channel Estimation, Reliable Transmission, and Multiple Access
[article]
2023
arXiv
pre-print
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To circumvent these, we propose a novel multiple-antenna aided L-band ABC paradigm to tackle the key issues of reliable and high-rate air-to-ground (A2G) transmissions. ...
For achieving high decision-making efficiency and robustness, we propose a "distributionally-robust" 1 reinforcement learning (DRRL) framework for solving the online resource allocation problem. ...
As expected, the DRSAC algorithm substantially reduces the variance thanks to the robustness of the learning process.
IV. ...
arXiv:2301.06055v1
fatcat:pzjhwldnifesjj6ihbeaeqtlxy
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
[article]
2023
arXiv
pre-print
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With the advances in multi-antenna technologies largely for radar and communications, there has been a great interest on beamformer design mostly relying on convex/nonconvex optimization. ...
Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic wave using an array of sensors toward a desired direction. ...
Hence, this technique is also usually referred to as the minimum variance (MV) distortionless response (MVDR) beamforming. ...
arXiv:2211.02165v3
fatcat:zxatd4fjtjaidogd7ycxpy7qle
Robust Resource Allocation for STAR-RIS Assisted SWIPT Systems
[article]
2024
arXiv
pre-print
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can confer a more robust design to attenuate these effects. ...
For ES, an alternating optimization (AO)-based algorithm is proposed to jointly design AP active beamforming and STAR-RIS passive beamforming, where a penalty method is leveraged in STAR-RIS beamforming ...
The authors of [25] studied a STAR-RIS aided unmanned aerial vehicle (UAV) system and proposed a novel distributionally-robust reinforcement learning algorithm to get a robust design for sum-rate maximization ...
arXiv:2403.15145v1
fatcat:nbuez5t2mvdcrnfosrlicbfou4
Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp
[article]
2022
arXiv
pre-print
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Second, we derive the Cramer-Rao lower bound (CRLB) on the positioning error variance and a lower bound on the achievable rate with on-off keying modulation. ...
First, by leveraging the fact that the VLC channel model is a function of the receiver's location, we propose a system model that estimates the channel state information (CSI) based on the positioning ...
ROBUST POWER ALLOCATION FOR VLPC DESIGN In this section, we investigate the positioning error variance minimization problem via a robust power allocation design by considering the rate outage probability ...
arXiv:2208.14268v1
fatcat:svpguwgcvja2zl7jxdfqirn32e
Full-Duplex Bidirectional Secure Communications Under Perfect and Distributionally Ambiguous Eavesdropper's CSI
2017
IEEE Transactions on Signal Processing
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1705.07337v1 fatcat:vosab54a5nh2hptg2ivpvdeyuaOther Versions
Besides the SSRM design, this paper also deals with a robust SSRM transmit design under a moment-based random channel state information (CSI) model, where only some roughly estimated first and second-order ...
We show that the ADC iteration has a semi-closed-form beamforming solution, and is guaranteed to converge to a stationary solution of the SSRM problem. ...
it renders a secrecy design that is immune to variations of the distribution, thus providing a distributionally robust secrecy outage probability guarantee. ...
doi:10.1109/tsp.2017.2709270
fatcat:6ss6nex3vfbzvao6dgzpvfoliy
A robust reduced-order observers design approach for linear discrete periodic systems
2017
Journal of Industrial and Management Optimization
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For examples, a robust minimum variance beamformer design was proposed without full knowledge of the channel mismatch in [5] . ...
The two-stage distributionally robust optimization problem that depends on a random vector and the distributionally robust two-stage stochastic convex programming problem were solved in [6] and [7], respectively ...
Interesting future research topics include: (i) to study distributionally robust design for LDP systems under the uncertainties with unknown distributions; (ii) to consider probabilistic control of Markov ...
doi:10.3934/jimo.2019081
fatcat:qqlkvpzugng5xiunhqyyqlorg4
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
[article]
2021
arXiv
pre-print
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New design principles of wireless networks, service-driven resource allocation optimization methods, as well as a holistic end-to-end system architecture to support edge AI will be described. ...
In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models. ...
Distributionally robust optimization [273] provides a promising way to achieve worst-case probabilistic performance by incorporating all sample-generating distributions into an ambiguity set. ...
arXiv:2111.12444v1
fatcat:crrbtfylvjeihogumggdnxcbpq
Theory and Applications of Robust Optimization
2011
SIAM Review
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In section 2, we discuss a wide array of optimization classes and also uncertainty sets, and we consider the properties of the robust versions. ...
While not explicitly specified in the robust constraint (1.2), the resulting solution has some p loss . As a rough rule, the bigger the set R, the lower the objective function ...
Antenna Design. Lorenz and Boyd [100] consider the problem of building an array antenna with minimum variance when the underlying array response is not known exactly. ...
doi:10.1137/080734510
fatcat:aph3746da5c7noab5feoyxyyba
Theory and Applications of Robust Optimization
[article]
2010
arXiv
pre-print
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In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). ...
Finally, we highlight applications of RO across a wide spectrum of domains, including finance, statistics, learning, and various areas of engineering. ...
Antenna design. Lorenz and Boyd [99] consider the problem of building an array antenna with minimum variance when the underlying array response is not known exactly. ...
arXiv:1010.5445v1
fatcat:dla2klcm4rdhhoqa72hakbwuqe
Statistical normalization of non-Rayleigh reverberation
Oceans '97. MTS/IEEE Conference Proceedings
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In such a situation, detectors designed under a Rayleigh assumption will exhibit increased and varying false alarm performance. ...
EM parameter estimates for a Rayleigh mixture 51 Annex C -Mean and variance of T m 53 Annex D -Invariance of false alarm performance in Weibull reverberation using ML parameter estimates 58 ...
The statistical normalizer brings the Pf a closer to the design value at the expense of an increase in the variance of the log 10 of the instantaneous Pf a . ...
doi:10.1109/oceans.1997.634415
fatcat:lnqoofrkqbekjmwjulnj4od5dq
CCC 2020 Contents
2020
2020 39th Chinese Control Conference (CCC)
unpublished
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LI Jiamin, YANG Hongying, YAN Liping, LI Zonghan, LIU Daowei, XIA Yuanqing 6135 A Distributionally Robust Approach for Transmission and Energy Storage Capacity Planning in a Remote Photovoltaic Power Plant ...
LI ZHONGMEI, HUANG Mengzhe, GUI Weihua, JIANG Zhong-Ping 2244 Impact of Model-Plant Mismatch to Minimum Variance Benchmark in Control Performance Assessment . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.23919/ccc50068.2020.9188973
fatcat:7t2dwrbc3zdcjnyijypuga7yhe