Articles de revista
http://hdl.handle.net/2117/1256
20170330T16:41:07Z

Sparse multiple relay selection for network beamforming with individual power constraints using semidefinite relaxation
http://hdl.handle.net/2117/101912
Sparse multiple relay selection for network beamforming with individual power constraints using semidefinite relaxation
Blanco, Luis; Nájar Martón, Montserrat
This paper deals with the multiple relay selection problem in twohop wireless cooperative networks with individual power constraints at the relays. In particular, it addresses the problem of selecting the best subset of K cooperative nodes and their corresponding beamforming weights so that the signaltonoise ratio (SNR) is maximized at the destination. This problem is computationally demanding and requires an exhaustive search over all the possible combinations. In order to reduce the complexity, a new suboptimal method is proposed. This technique exhibits a nearoptimal performance with a computational burden that is far less than the one needed in the combinatorial search. The proposed method is based on the use of the l1norm squared and the CharnesCooper transformation and naturally leads to a semidefinite programming relaxation with an affordable computational cost. Contrary to other approaches in the literature, the technique exposed herein is based on the knowledge of the secondorder statistics of the channels and the relays are not limited to cooperate with full power.
20170303T11:54:54Z
Blanco, Luis
Nájar Martón, Montserrat
This paper deals with the multiple relay selection problem in twohop wireless cooperative networks with individual power constraints at the relays. In particular, it addresses the problem of selecting the best subset of K cooperative nodes and their corresponding beamforming weights so that the signaltonoise ratio (SNR) is maximized at the destination. This problem is computationally demanding and requires an exhaustive search over all the possible combinations. In order to reduce the complexity, a new suboptimal method is proposed. This technique exhibits a nearoptimal performance with a computational burden that is far less than the one needed in the combinatorial search. The proposed method is based on the use of the l1norm squared and the CharnesCooper transformation and naturally leads to a semidefinite programming relaxation with an affordable computational cost. Contrary to other approaches in the literature, the technique exposed herein is based on the knowledge of the secondorder statistics of the channels and the relays are not limited to cooperate with full power.

Achievable DoFdelay tradeoffs for the Kuser MIMO interference channel with delayed CSIT
http://hdl.handle.net/2117/100973
Achievable DoFdelay tradeoffs for the Kuser MIMO interference channel with delayed CSIT
Torrellas, Marc; Agustín de Dios, Adrián; Vidal Manzano, José
The degrees of freedom (DoFs) of the Kuser multipleinput multipleoutput (MIMO) interference channel are studied when perfect, but delayed channel state information is available at the transmitter side (delayed CSIT). Recent works have proposed schemes improving the DoF knowledge of the interference channel, but at the cost of developing transmission involving many channel uses (long delay), thus increasing the complexity at both transmitter and receiver side. This paper proposes three linear precoding strategies, limited to at most three phases, based on the concept of interference alignment, and built upon three main ingredients: delayed CSIT precoding, user scheduling, and redundancy transmission. In this respect, the interference alignment is realized by exploiting delayed CSIT to align the interference at the nonintended receivers along the spacetime domain. Moreover, a new framework is proposed where the number of transmitted symbols and duration of the phases is obtained as the solution of a maximization problem, and enabling the introduction of complexity constraints, which allows deriving the achievable DoF as a function of the transmission delay, i.e., the achievable DoFdelay tradeoff. Finally, the latter part of this paper settles that the assumption of timevarying channels common along all the literature on delayed CSIT is indeed unnecessary.
©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any
current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other
works.
20170214T12:34:54Z
Torrellas, Marc
Agustín de Dios, Adrián
Vidal Manzano, José
The degrees of freedom (DoFs) of the Kuser multipleinput multipleoutput (MIMO) interference channel are studied when perfect, but delayed channel state information is available at the transmitter side (delayed CSIT). Recent works have proposed schemes improving the DoF knowledge of the interference channel, but at the cost of developing transmission involving many channel uses (long delay), thus increasing the complexity at both transmitter and receiver side. This paper proposes three linear precoding strategies, limited to at most three phases, based on the concept of interference alignment, and built upon three main ingredients: delayed CSIT precoding, user scheduling, and redundancy transmission. In this respect, the interference alignment is realized by exploiting delayed CSIT to align the interference at the nonintended receivers along the spacetime domain. Moreover, a new framework is proposed where the number of transmitted symbols and duration of the phases is obtained as the solution of a maximization problem, and enabling the introduction of complexity constraints, which allows deriving the achievable DoF as a function of the transmission delay, i.e., the achievable DoFdelay tradeoff. Finally, the latter part of this paper settles that the assumption of timevarying channels common along all the literature on delayed CSIT is indeed unnecessary.

Joint optimization of power and data transfer in multiuser MIMO systems
http://hdl.handle.net/2117/99198
Joint optimization of power and data transfer in multiuser MIMO systems
Rubio López, Javier; Pascual Iserte, Antonio; Palomar, Daniel P.; Goldsmith, Andrea
We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multipleinput multipleoutput (MIMO) broadcast networks implementing simultaneous wireless information and power transfer (SWIPT). The MIMO SWIPT problem is formulated as a general multiobjective optimization problem, in which data rates and harvested powers are optimized simultaneously. Two different approaches are applied to reformulate the (nonconvex) multiobjective problem. In the first approach, the transmitter can control the specific amount of power to be harvested by power transfer whereas in the second approach the transmitter can only control the proportion of power to be harvested among the different harvesting users. We solve the resulting formulations using the majorizationminimization (MM) approach. The solution obtained from the MM approach is compared to the classical blockdiagonalization (BD) strategy, typically used to solve the nonconvex multiuser MIMO network by forcing no interference among users. Simulation results show that the proposed approach improves over the BD approach both the system sum rate and the power harvested by users. Additionally, the computational times needed for convergence of the proposed methods are much lower than the ones required for classical gradientbased approaches.
20170113T09:41:19Z
Rubio López, Javier
Pascual Iserte, Antonio
Palomar, Daniel P.
Goldsmith, Andrea
We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multipleinput multipleoutput (MIMO) broadcast networks implementing simultaneous wireless information and power transfer (SWIPT). The MIMO SWIPT problem is formulated as a general multiobjective optimization problem, in which data rates and harvested powers are optimized simultaneously. Two different approaches are applied to reformulate the (nonconvex) multiobjective problem. In the first approach, the transmitter can control the specific amount of power to be harvested by power transfer whereas in the second approach the transmitter can only control the proportion of power to be harvested among the different harvesting users. We solve the resulting formulations using the majorizationminimization (MM) approach. The solution obtained from the MM approach is compared to the classical blockdiagonalization (BD) strategy, typically used to solve the nonconvex multiuser MIMO network by forcing no interference among users. Simulation results show that the proposed approach improves over the BD approach both the system sum rate and the power harvested by users. Additionally, the computational times needed for convergence of the proposed methods are much lower than the ones required for classical gradientbased approaches.

A framework for joint design of pilot sequence and linear precoder
http://hdl.handle.net/2117/99187
A framework for joint design of pilot sequence and linear precoder
Pastore, Adriano; Joham, Michael; Rodríguez Fonollosa, Javier
Most performance measures of pilotassisted multipleinput multipleoutput systems are functions of the linear precoder and the pilot sequence. A framework for the optimization of these two parameters is proposed, based on a matrixvalued generalization of the concept of effective signaltonoise ratio (SNR) introduced in the famous work by Hassibi and Hochwald. Our framework aims to extend the work of Hassibi and Hochwald by allowing for transmitside fading correlations, and by considering a class of utility functions of said effective SNR matrix, most notably including the wellknown capacity lower bound used by Hassibi and Hochwald. We tackle the joint optimization problem by recasting the optimization of the precoder (resp. pilot sequence) subject to a fixed pilot sequence (resp. precoder) into a convex problem. Furthermore, we prove that joint optimality requires that the eigenbases of the precoder and pilot sequence be both aligned along the eigenbasis of the channel correlation matrix. We finally describe how to wrap all studied subproblems into an iteration that converges to a local optimum of the joint optimization.
20170113T09:20:05Z
Pastore, Adriano
Joham, Michael
Rodríguez Fonollosa, Javier
Most performance measures of pilotassisted multipleinput multipleoutput systems are functions of the linear precoder and the pilot sequence. A framework for the optimization of these two parameters is proposed, based on a matrixvalued generalization of the concept of effective signaltonoise ratio (SNR) introduced in the famous work by Hassibi and Hochwald. Our framework aims to extend the work of Hassibi and Hochwald by allowing for transmitside fading correlations, and by considering a class of utility functions of said effective SNR matrix, most notably including the wellknown capacity lower bound used by Hassibi and Hochwald. We tackle the joint optimization problem by recasting the optimization of the precoder (resp. pilot sequence) subject to a fixed pilot sequence (resp. precoder) into a convex problem. Furthermore, we prove that joint optimality requires that the eigenbases of the precoder and pilot sequence be both aligned along the eigenbasis of the channel correlation matrix. We finally describe how to wrap all studied subproblems into an iteration that converges to a local optimum of the joint optimization.

On the superiority of improper Gaussian signaling in wireless interference MIMO scenarios
http://hdl.handle.net/2117/98936
On the superiority of improper Gaussian signaling in wireless interference MIMO scenarios
Lagén Morancho, Sandra; Agustín de Dios, Adrián; Vidal Manzano, José
Recent results have elucidated the benefits of using improper Gaussian signaling (IGS) as compared to conventional proper Gaussian signaling (PGS) in terms of achievable rate for interferencelimited conditions. This paper exploits majorization
theory tools to formally quantify the gains of IGS along with widely linear transceivers for MIMO systems in interferencelimited scenarios. The MIMO pointtopoint channel with interference (P2PI) is analyzed, assuming that received interference can be either proper or improper, and we demonstrate that the
use of the optimal IGS when received interference is improper strictly outperforms (in terms of achievable rate and mean square error) the use of the optimal PGS when interference is proper.
Then, these results are extended to two practical situations. First, the MIMO Zinterference channel (ZIC) is investigated, where a tradeoff arises: with IGS we could increase the achievable rate of the interfered user while gracefully degrading the rate of the noninterfered user. Second, these concepts are applied to a
twotier heterogeneous cellular network (HCN) where macrocells and smallcells coexist and multiple MIMO ZIC appear.
©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
20170110T10:35:27Z
Lagén Morancho, Sandra
Agustín de Dios, Adrián
Vidal Manzano, José
Recent results have elucidated the benefits of using improper Gaussian signaling (IGS) as compared to conventional proper Gaussian signaling (PGS) in terms of achievable rate for interferencelimited conditions. This paper exploits majorization
theory tools to formally quantify the gains of IGS along with widely linear transceivers for MIMO systems in interferencelimited scenarios. The MIMO pointtopoint channel with interference (P2PI) is analyzed, assuming that received interference can be either proper or improper, and we demonstrate that the
use of the optimal IGS when received interference is improper strictly outperforms (in terms of achievable rate and mean square error) the use of the optimal PGS when interference is proper.
Then, these results are extended to two practical situations. First, the MIMO Zinterference channel (ZIC) is investigated, where a tradeoff arises: with IGS we could increase the achievable rate of the interfered user while gracefully degrading the rate of the noninterfered user. Second, these concepts are applied to a
twotier heterogeneous cellular network (HCN) where macrocells and smallcells coexist and multiple MIMO ZIC appear.

A polynomial rooting approach for synchronization in multipath channels using antenna arrays
http://hdl.handle.net/2117/98478
A polynomial rooting approach for synchronization in multipath channels using antenna arrays
Seco Granados, Gonzalo; Swindlehurst, A K; Fernández Rubio, Juan Antonio
The estimation of the delay of a known training signal received
by an antenna array in a multipath channel is addressed.
The effect of the cochannel interference is taken
into account by including a term with unknown spatial correlation.
The channel is modeled as an unstructured FIR
filter. The exact maximum likelihood (ML) solution for
this problem is derived, but it does not have a simple dependence
on the delay. An approximate estimator that is
asymptotically equivalent to the exact one is presented. Using
an appropriate reparameterization, it is shown that the
delay estimate is obtained by rooting a loworder polynomial,
which may be of interest in applications where fast
feedforward synchronization is needed.
20161216T14:53:06Z
Seco Granados, Gonzalo
Swindlehurst, A K
Fernández Rubio, Juan Antonio
The estimation of the delay of a known training signal received
by an antenna array in a multipath channel is addressed.
The effect of the cochannel interference is taken
into account by including a term with unknown spatial correlation.
The channel is modeled as an unstructured FIR
filter. The exact maximum likelihood (ML) solution for
this problem is derived, but it does not have a simple dependence
on the delay. An approximate estimator that is
asymptotically equivalent to the exact one is presented. Using
an appropriate reparameterization, it is shown that the
delay estimate is obtained by rooting a loworder polynomial,
which may be of interest in applications where fast
feedforward synchronization is needed.

Guest editorial: adaptive antennas in wireless communications
http://hdl.handle.net/2117/98356
Guest editorial: adaptive antennas in wireless communications
Rodríguez Fonollosa, Javier
20161215T14:51:02Z
Rodríguez Fonollosa, Javier

Numerical simulation of long path spherical wave propagation in threedimensional random media
http://hdl.handle.net/2117/98348
Numerical simulation of long path spherical wave propagation in threedimensional random media
Fernández Rubio, Juan Antonio; Belmonte Molina, Aniceto; Comerón Tejero, Adolfo
A new method to overcome some limitations in the simulation of the propagation of waves originating from a point source through a very long path in a turbulent medium is presented. Existing propagation simulation algorithms suffer from either windowing or lack of resolution when applied to long paths. If Cartesian coordinates are used, the limited size of the numerical mesh eventually leads to windowing errors. Casting the classical splitstep Fourier algorithm in a spherically diverging coordinate system allows one to get around this problem. In this way an angular mesh matching the source and the propagation algorithm to the problem geometry is used. But for longpath propagation, this spherical divergent mesh causes a loss of resolution that can become a serious problem in the evaluation of the field statistical moments. The method discussed in this paper overcomes both the windowing effect associated with Cartesian coordinates and the loss of resolution accompanying spherical coordinates by using a sphericalcoordinate algorithm and performing repeated interpolations of the numerically propagated field before the mesh grows too large to sample the field accurately. Each time an interpolation is done, the angular window is decreased to maintain the matrix size. © 1999 Society of PhotoOptical Instrumentation Engineers.
20161215T14:19:02Z
Fernández Rubio, Juan Antonio
Belmonte Molina, Aniceto
Comerón Tejero, Adolfo
A new method to overcome some limitations in the simulation of the propagation of waves originating from a point source through a very long path in a turbulent medium is presented. Existing propagation simulation algorithms suffer from either windowing or lack of resolution when applied to long paths. If Cartesian coordinates are used, the limited size of the numerical mesh eventually leads to windowing errors. Casting the classical splitstep Fourier algorithm in a spherically diverging coordinate system allows one to get around this problem. In this way an angular mesh matching the source and the propagation algorithm to the problem geometry is used. But for longpath propagation, this spherical divergent mesh causes a loss of resolution that can become a serious problem in the evaluation of the field statistical moments. The method discussed in this paper overcomes both the windowing effect associated with Cartesian coordinates and the loss of resolution accompanying spherical coordinates by using a sphericalcoordinate algorithm and performing repeated interpolations of the numerically propagated field before the mesh grows too large to sample the field accurately. Each time an interpolation is done, the angular window is decreased to maintain the matrix size. © 1999 Society of PhotoOptical Instrumentation Engineers.

Blind multiuser detection with array observations
http://hdl.handle.net/2117/98271
Blind multiuser detection with array observations
Rodríguez Fonollosa, Javier; Zvonar, Z; Rodríguez Fonollosa, José Adrián; Catala, J
Cochannel interference is usually a major limitation to the performance of mobile wireless systems. Examples of different forms of cochannel interference include multiaccess interference in CDMA systems and cochannel interference resulting from frequency reuse in TDMA systems. In order to mitigate the interference from other users we present a blind multiuser receiver which utilizes array observations and performs both spatial and temporal processing of the received signal. The presented technique is completely blind in the sense that no signature sequences, channel state or spatial location needs to be known a priori, nor use of a training sequences, channel state or spatial location needs to be known a priori, nor use of a training sequence is required for the adaptation. The diversity introduced by the array observations can be efficiently combined with the use of CDMA signature sequences. After initial convergence, a reliable estimate of the combined temporal and spatial signature for each user is provided that can be employed by a multiuser receiver of lower complexity.
20161214T16:19:56Z
Rodríguez Fonollosa, Javier
Zvonar, Z
Rodríguez Fonollosa, José Adrián
Catala, J
Cochannel interference is usually a major limitation to the performance of mobile wireless systems. Examples of different forms of cochannel interference include multiaccess interference in CDMA systems and cochannel interference resulting from frequency reuse in TDMA systems. In order to mitigate the interference from other users we present a blind multiuser receiver which utilizes array observations and performs both spatial and temporal processing of the received signal. The presented technique is completely blind in the sense that no signature sequences, channel state or spatial location needs to be known a priori, nor use of a training sequences, channel state or spatial location needs to be known a priori, nor use of a training sequence is required for the adaptation. The diversity introduced by the array observations can be efficiently combined with the use of CDMA signature sequences. After initial convergence, a reliable estimate of the combined temporal and spatial signature for each user is provided that can be employed by a multiuser receiver of lower complexity.

Fourier models for non linear signal processing
http://hdl.handle.net/2117/98266
Fourier models for non linear signal processing
Pagès Zamora, Alba Maria; Lagunas Hernandez, Miguel A.
This paper proposes a trigonometric functional extension, hereafter named the Fourier model, as an alternative framework to the Volterra approach for nonlinear systems modelling. This work is focused on the general advantages that trigonometric functionals show in adaptive implementations and also on the possibility they provide to reuse wellknown linear processing tools in a nonlinear context. The performance of the Fourier model is compared in a set of simulations that cover companders for audio and radio frequency amplifiers, probability density function (PDF) whitening and PDF estimation.
20161214T15:52:36Z
Pagès Zamora, Alba Maria
Lagunas Hernandez, Miguel A.
This paper proposes a trigonometric functional extension, hereafter named the Fourier model, as an alternative framework to the Volterra approach for nonlinear systems modelling. This work is focused on the general advantages that trigonometric functionals show in adaptive implementations and also on the possibility they provide to reuse wellknown linear processing tools in a nonlinear context. The performance of the Fourier model is compared in a set of simulations that cover companders for audio and radio frequency amplifiers, probability density function (PDF) whitening and PDF estimation.