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Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection
[article]
2022
arXiv
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In this paper, we show that the adaptive projected subgradient method (APSM) is bounded perturbation resilient. ...
To illustrate a potential application of this result, we propose a set-theoretic framework for MIMO detection, and we devise algorithms based on a superiorized APSM. ...
An Adaptive Projected Subgradient Method for MIMO Detection In principle, a solution to the maximum likelihood problem can be approximated by iterative techniques that interleave gradient steps for the ...
arXiv:2203.01116v2
fatcat:kmmew3ilgfhhtecqzvocmnzg4q
2021 Index IEEE Transactions on Signal Processing Vol. 69
2021
IEEE Transactions on Signal Processing
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TSP 2021 4859-4874 Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. ...
., +, TSP 2021 3854-3867 Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. ...
doi:10.1109/tsp.2022.3162899
fatcat:kcubj566gzb4zkj7xb5r5we3ri
Table of Contents
2021
IEEE Transactions on Signal Processing
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Zhao Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Tekin Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tsp.2021.3136800
fatcat:zhf46mb3rbdlnnh3u2xizgxof4
Nonconcave Utility Maximisation in the MIMO Broadcast Channel
2008
EURASIP Journal on Advances in Signal Processing
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First, based on the differential manifold structure offered by the boundary of the MIMO BC capacity region, a gradient projection method on the boundary is developed. ...
It is not assumed that the utility function is concave, allowing for more realistic utility models of applications with limited scalability. ...
In cases where an ascent step is easily found, however, it is not necessary to solve the problem to high precision. The latter case is detected by the coarse projection. ...
doi:10.1155/2009/645041
fatcat:huaw6ckrobdhfmdx3fllxc2shy
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
2020
IEEE Transactions on Wireless Communications
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We also develop a generalization method of the proposed algorithms so that they can adapt to the varying number of users and antennas without re-training. ...
We first design a fast subgradient algorithm that can achieve near-optimal solution with reduced complexity. ...
6) Update the downlink beamforming vector as w k = 373 √ p kwk and W = [w 1 , · · · , w K ]. 374 7) Update μ using the subgradient Euclidean projection 375 method with step size α j : 376μ (j+1) = P S ...
doi:10.1109/twc.2020.2977340
fatcat:vnu32a253ba3bgpr5lab5wbguu
Sparse Nonlinear MIMO Filtering and Identification
[chapter]
2013
Signals and Communication Technology
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These algorithms are potentially useful in a variety of application areas including digital transmission systems incorporating power amplifier(s) along with multiple antennas, cognitive processing, adaptive ...
In other cases it appears as a pragmatic modelling approach that seeks to cope with the curse of dimensionality, particularly acute in nonlinear systems like Volterra type series. ...
First, it extends existing algorithms for adaptive filtering of SISO models to the MIMO case and demonstrates their applicability to nonlinear MIMO systems. ...
doi:10.1007/978-3-642-38398-4_7
fatcat:a7awuvl2prfvfkylo2za6cprz4
Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms
[article]
2020
arXiv
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In particular, multiple access points (APs) cooperatively detect the device activity via exchanging low-dimensional intermediate information with their neighbors. ...
This paper investigates the issue of cooperative activity detection for grant-free random access in the sixth-generation (6G) cell-free wireless networks with sourced and unsourced paradigms. ...
It can be seen in Table I that the computational complexity of the proposed CAD algorithm is superior to other two algorithms in mMTC applications. ...
arXiv:2011.10197v1
fatcat:ebsdctttezhajff7e775ayqcl4
Design of large polyphase filters in the Quadratic Residue Number System
2010
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
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onto a set of hyperslabs is taken, and then the subgradient projection mapping, with respect to the weighted $\ell_1$ cost, is applied. ...
The superiority of the proposed method is assessed in the experimental subjective evaluation. ...
doi:10.1109/acssc.2010.5757589
fatcat:ccxnu5owr5fyrcjcqukumerueq
Linear Transceiver Designs for MIMO Indoor Visible Light Communications Under Lighting Constraints
2017
IEEE Transactions on Communications
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For multi-input multioutput (MIMO) white VLCs, we prove that the optimization problem with multiple constraints can be equivalently simplified to a problem with single constraint, which enables us to propose ...
For MIMO RGB VLCs, by using certain useful transformations, we show that the precoding design is equivalent to covariance matrix design of transmit signals, which can be further transformed to a convex ...
i , for i = 1, 2, 3, by using the subgradient based method. ...
doi:10.1109/tcomm.2017.2672673
fatcat:26qmz64y5bfqlgbqnfsak34mc4
Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers
2012
EURASIP Journal on Wireless Communications and Networking
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To efficiently reduce the PAPR of the MIMO-OFDM signals, a method that mixes dummy symbols and phase information of the pilot symbols is presented. ...
Simulation results based on IEEE 802.16e are presented to illustrate the superior performance of our proposed channel estimation method over the existing standard and the partially equi-spaced pilot symbols ...
In [26] , TR techniques that use adaptive projected subgradient method to obtain dummy symbols to minimize PAPR of each symbol is proposed, while in [28] , a subgradient optimization-based framework ...
doi:10.1186/1687-1499-2012-201
fatcat:jq47kjzenrcypiwaaewv5aeaxi
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks
2008
IEEE Journal on Selected Topics in Signal Processing
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via transmit adaptations not only in space, but in time and frequency domains as well. ...
In cognitive radio (CR) networks, there are scenarios where the secondary (lower priority) users intend to communicate with each other by opportunistically utilizing the transmit spectrum originally allocated ...
Instead of updating a single by the bisection method in Algorithm A1, 's can be simultaneously updated by the ellipsoid method [30] by observing that is a subgradient of , .
2) Projected-Channel SVD ...
doi:10.1109/jstsp.2007.914894
fatcat:ss62iih3zza4daaupbj4kzkmly
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning
[article]
2020
arXiv
pre-print
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Compared to binary offloading, partial offloading with data partitioning is superior and leads to significant reduction in the overall energy consumption. ...
We study a wireless edge-computing system which allows multiple users to simultaneously offload computation-intensive tasks to multiple massive-MIMO access points, each with a collocated multi-access edge ...
traffic is expected to increase seven-fold from 2016 to 2021, of which, mobile video data by smartphones is the fastest-growing segment with a projected increase of 870% [2] . ...
arXiv:2001.08259v2
fatcat:lxaxlulyfzg6lds272rd6ikjhm
Submodularity in Action: From Machine Learning to Signal Processing Applications
[article]
2020
arXiv
pre-print
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In this paper, we show how certain scenarios lend themselves to exploiting submodularity so as to construct scalable solutions with provable worst-case performance guarantees. ...
Submodular functions exhibit strong structure that lead to efficient optimization algorithms with provable near-optimality guarantees. ...
As shown in this figure, the method based on the SupSub procedure provides a desirable performance superior to the PRTools baseline result. ...
arXiv:2006.09905v1
fatcat:ksn2bqbdczechktpa6ivcpwcau
Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect
2020
International Journal of Antennas and Propagation
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and performance for the bistatic MIMO radar with unknown gain-phase errors. ...
Finally, a CS method, Simultaneous Orthogonal Matching Pursuit with an inherent gradient descent method, is utilized to reconstruct the signal and estimate the angles and the unknown gain-phase errors. ...
of target localization and detection [7] . is paper studies the angle estimation problem, considering a bistatic MIMO where the angles to the transmit and receive arrays are regular and dissimilar; also ...
doi:10.1155/2020/1586353
fatcat:lta4fxguibg6rjhx2tcuh2mq2y
Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System
2019
IEEE Systems Journal
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Similar work has been done in [4] , in which several cooperative and codesign methods are proposed to provide improved spectral efficiency. ...
In [11] , the authors present a novel algorithm to enhance the spectrum sharing performance between MIMO radar and This work is licensed under a Creative Commons Attribution 4.0 License. ...
Traditionally, numerical optimization approaches, such as subgradient and gradient projection methods, can be employed to solve the aforementioned convex optimization problem (SP2). ...
doi:10.1109/jsyst.2019.2931754
fatcat:ccnh62kjp5a2val6qdzdy2hkjq
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