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In this paper we present new algorithms and analysis for the linear inverse sensor placement and scheduling problems over multiple time instances with power and communications constraints. The proposed algorithms, which deal directly with…

Information Theory · Computer Science 2018-02-14 Cristian Rusu , John Thompson , Neil M. Robertson

We investigate the spectral efficiency of full-duplex small cell wireless systems, in which a full-duplex capable base station (BS) is designed to send/receive data to/from multiple halfduplex users on the same system resources. The major…

Information Theory · Computer Science 2014-07-11 Dan Nguyen , Le-Nam Tran , Pekka Pirinen , Matti Latva-aho

Multicarrier-low density spreading multiple access (MC-LDSMA) is a promising multiple access technique that enables near optimum multiuser detection. In MC-LDSMA, each user's symbol spread on a small set of subcarriers, and each subcarrier…

Information Theory · Computer Science 2017-05-15 Mohammed Al-Imari , Muhammad Ali Imran , Pei Xiao

We consider joint beamforming and stream allocation to maximize the weighted sum rate (WSR) for non-coherent joint transmission (NCJT) in user-centric cell-free MIMO networks, where distributed access points (APs) are organized in clusters…

Signal Processing · Electrical Eng. & Systems 2024-02-29 Xi Wang , Xiaotong Zhao , Juncheng Wang , You Li , Qingjiang Shi

The cell-free MIMO concept relying on hybrid precoding constitutes an innovative technique capable of dramatically increasing the network capacity of millimeter-wave (mmWave) communication systems. It dispenses with the cell boundary of…

Information Theory · Computer Science 2022-01-13 Chenghao Feng , Wenqian Shen , Jianping An , Lajos Hanzo

State-space models (SSMs) are a common tool for modeling multi-variate discrete-time signals. The linear-Gaussian (LG) SSM is widely applied as it allows for a closed-form solution at inference, if the model parameters are known. However,…

Computational Engineering, Finance, and Science · Computer Science 2023-03-23 Emilie Chouzenoux , Victor Elvira

Nowadays, several industrial applications are being ported to parallel architectures. In fact, these platforms allow acquire more performance for system modelling and simulation. In the electric machines area, there are many problems which…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-25 Antonio Wendell De Oliveira Rodrigues , Frédéric Guyomarch , Yvonnick Le Menach , Jean-Luc Dekeyser

It has been shown recently that the dirty-paper coding is the optimal strategy for maximizing the sum rate of multiple-input multiple-output Gaussian broadcast channels (MIMO BC). Moreover, by the channel duality, the nonconvex MIMO BC sum…

Information Theory · Computer Science 2007-07-13 Jia Liu , Y. Thomas Hou , Hanif D. Sherali

Consider the problem of minimizing the sum of a smooth convex function and a separable nonsmooth convex function subject to linear coupling constraints. Problems of this form arise in many contemporary applications including signal…

Optimization and Control · Mathematics 2014-01-29 Mingyi Hong , Tsung-Hui Chang , Xiangfeng Wang , Meisam Razaviyayn , Shiqian Ma , Zhi-Quan Luo

The concave utility in the Network Utility Maximization (NUM) problem is only suitable for elastic flows. However, the networks with the multiclass traffic, the utility of inelastic traffic is usually represented by the sigmoidal function…

Systems and Control · Computer Science 2012-04-17 Phuong L. Vo , Nguyen H. Tran , Choong Seon Hong

Optimal resource allocation (RA) in massive carrier aggregation scenarios is a challenging combinatorial optimization problem whose dimension is proportional to the number of users, component carriers (CCs), and OFDMA resource blocks per…

Information Theory · Computer Science 2017-06-19 Stelios Stefanatos , Fotis Foukalas , Theodoros A. Tsiftsis

Sharing the spectrum among mobile network operators (MNOs) is a promising approach to improve the spectrum utilization and to increase the monetary income of MNOs. In this paper, we model a nonorthogonal spectrum sharing system for a…

Computational Geometry · Computer Science 2022-06-28 Elaheh Ataeebojd , Mehdi Rasti , Hossein Pedram , Pedro H. J. Nardelli

Pilot reuse in multi-cell massive multi-input multi-output (MIMO) system is investigated where user groups with different priorities exist. Recent investigation on pilot reuse has revealed that when the ratio of the coherent time interval…

Information Theory · Computer Science 2017-05-03 Jy-yong Sohn , Sung Whan Yoon , Jaekyun Moon

This work presents joint iterative power allocation and interference suppression algorithms for DS-CDMA networks which employ multiple relays and the amplify and forward cooperation strategy. We propose a joint constrained optimization…

Information Theory · Computer Science 2013-04-10 R. C. de Lamare , S. Li

This paper introduces a general multi-class approach to weakly supervised classification. Inferring the labels and learning the parameters of the model is usually done jointly through a block-coordinate descent algorithm such as…

Machine Learning · Computer Science 2012-07-03 Armand Joulin , Francis Bach

The optimization of cooperative beamforming vectors in cell-free massive MIMO (mMIMO) systems is presented where multi-antenna access points (APs) support downlink data transmission of multiple users. Albeit the successes of the weighted…

Signal Processing · Electrical Eng. & Systems 2024-08-05 Wonsik Yoo , Daesung Yu , Hoon Lee , Seok-Hwan Park

This paper investigates the relay assignment and power allocation problem for two different network power management policies: group lifetime maximization (GLM) and minimum weighted total power (MWTP), with the aim of lifetime maximization…

Information Theory · Computer Science 2016-11-17 Sabyasachi Gupta , Ranjan Bose

The problem of maximizing weighted sum rates in the downlink of a multicell environment is of considerable interest. Unfortunately, this problem is known to be NP-hard. For the case of multi-antenna base stations and single antenna mobile…

Information Theory · Computer Science 2012-11-12 Le-Nam Tran , Muhammad Fainan Hanif , Antti Tölli , Markku Juntti

We propose an algorithm for generating explicit solutions of multiparametric mixed-integer convex programs to within a given suboptimality tolerance. The algorithm is applicable to a very general class of optimization problems, but is most…

Optimization and Control · Mathematics 2019-06-12 Danylo Malyuta , Behcet Acikmese

A popular class of algorithms to optimize the dual LP relaxation of the discrete energy minimization problem (a.k.a.\ MAP inference in graphical models or valued constraint satisfaction) are convergent message-passing algorithms, such as…

Optimization and Control · Mathematics 2017-09-18 Tomas Werner