Yuri Mostagi | Universidade Estadual de Londrina (original) (raw)
Papers by Yuri Mostagi
Anais de XXIX Simpósio Brasileiro de Telecomunicações, 2011
Resumo-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas ant... more Resumo-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas no transmissor e receptor (MIMO) que demandem alta vazão (throughput) de dados e/ou estejam sujeitosà interferência e/ou estejam operando sob canais correlacionados. A taxa de erro de bit ou a capacidade serão degradados substancialmente quando a diversidade espacial proporcionada pelas múltiplas antenas não puder ser totalmente aproveitada e o processo de detecção for incapaz de separar eficientemente o sinal em cada antena. A solução discutida neste trabalho analisa detectores eficientes para sistemas MIMO. Estes detectores utilizam informações dos sinais interferentes de forma a melhorar a detecção do sinal na antena de interesse, proporcionando assim vantagens sobre o sistema convencional,às custas de um incremento de complexidade. O foco deste trabalho consiste na comparação das características de três detectores sub-ótimos representativos, baseados na função de máxima verossimilhança e no princípio da busca guiada. Especialmente, neste trabalhoé explorado o compromisso complexidade × desempenho do detector esférico (SD), do detector baseado na decomposição QR (QRD-QR decomposition) e o de busca guiada "gulosa"(GSD-greedy search detector). Palavras-Chave-Detector multiusuário, sistemas MIMO, detector de máxima verossimilhança, detecção sub-ótima, algoritmos de busca guiada.
IEEE Latin America Transactions, 2015
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in [1]. In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.
IEEE Latin America Transactions, 2015
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in [1]. In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.
This work analyzes efficient non-spreading (a)synchronous MIMO detection topologies under realist... more This work analyzes efficient non-spreading (a)synchronous MIMO detection topologies under realistic channels which results in high throughput and good performance × complexity trade-off. In this sense, we look for nearoptimum efficient MIMO detections suitable for (un)coding schemes. Main system and channel parameters are analyzed, such as increasing number for transmitter and receiver antennas, number of iterations for convergence under AWGN and Rayleigh fading channels. Two heuristic local search MIMO detectors are compared with other near-optimum detectors, specifically SDR (semidefinite relaxation), expectationmaximization (EM), and linear multiuser detectors. Besides, the MIMO detectors performances under large MIMO systems (high number of transmitter and/or receiver antennas) are analyzed. The performance × complexity tradeoff results have indicated promising features for the guided local search (GLS) procedures in high capacity MIMO detectors. Keywords-MIMO system, heuristic ...
Abstract-In multiple-input-multiple-output (MIMO) systems, there is a performance degradation usi... more Abstract-In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conventional detector (CD) due to the combined effects of the signal interference between antennas and the possible correlation between the received fading signals. Thus, the matched filter in each received antenna becomes inefficient in high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper ...
-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas n... more -O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas no transmissor e receptor (MIMO) que demandem alta vazão (throughput) de dados e/ou estejam sujeitosà interferência e/ou estejam operando sob canais correlacionados. A taxa de erro de bit ou a capacidade serão degradados substancialmente quando a diversidade espacial proporcionada pelas múltiplas antenas não puder ser totalmente aproveitada e o processo de detecção for incapaz de separar eficientemente o sinal em cada antena. A solução discutida neste trabalho analisa detectores eficientes para sistemas MIMO. Estes detectores utilizam informações dos sinais interferentes de forma a melhorar a detecção do sinal na antena de interesse, proporcionando assim vantagens sobre o sistema convencional,às custas de um incremento de complexidade. O foco deste trabalho consiste na comparação das características de três detectores sub-ótimos representativos, baseados na função de máxima verossimilhança e no princípio da busca guiada. Especialmente, neste trabalhoé explorado o compromisso complexidade × desempenho do detector esférico (SD), do detector baseado na decomposição QR (QRD -QR decomposition) e o de busca guiada "gulosa"(GSD -greedy search detector).
In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conven... more In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conventional detector (CD) due to the combined effects of the signal interference between antennas and the possible correlation between the received fading signals. Thus, the matched filter in each received antenna becomes inefficient in high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in proposing a hybrid guided search MIMO detector utilizing the main advantages of two representative sub-optimal detectors based on the maximum-likelihood function and the guided search principle, the Sphere Detector (SD) and the QR decomposition with M algorithm based (QRD-M).
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in . In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.
Anais de XXIX Simpósio Brasileiro de Telecomunicações, 2011
Resumo-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas ant... more Resumo-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas no transmissor e receptor (MIMO) que demandem alta vazão (throughput) de dados e/ou estejam sujeitosà interferência e/ou estejam operando sob canais correlacionados. A taxa de erro de bit ou a capacidade serão degradados substancialmente quando a diversidade espacial proporcionada pelas múltiplas antenas não puder ser totalmente aproveitada e o processo de detecção for incapaz de separar eficientemente o sinal em cada antena. A solução discutida neste trabalho analisa detectores eficientes para sistemas MIMO. Estes detectores utilizam informações dos sinais interferentes de forma a melhorar a detecção do sinal na antena de interesse, proporcionando assim vantagens sobre o sistema convencional,às custas de um incremento de complexidade. O foco deste trabalho consiste na comparação das características de três detectores sub-ótimos representativos, baseados na função de máxima verossimilhança e no princípio da busca guiada. Especialmente, neste trabalhoé explorado o compromisso complexidade × desempenho do detector esférico (SD), do detector baseado na decomposição QR (QRD-QR decomposition) e o de busca guiada "gulosa"(GSD-greedy search detector). Palavras-Chave-Detector multiusuário, sistemas MIMO, detector de máxima verossimilhança, detecção sub-ótima, algoritmos de busca guiada.
IEEE Latin America Transactions, 2015
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in [1]. In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.
IEEE Latin America Transactions, 2015
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in [1]. In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.
This work analyzes efficient non-spreading (a)synchronous MIMO detection topologies under realist... more This work analyzes efficient non-spreading (a)synchronous MIMO detection topologies under realistic channels which results in high throughput and good performance × complexity trade-off. In this sense, we look for nearoptimum efficient MIMO detections suitable for (un)coding schemes. Main system and channel parameters are analyzed, such as increasing number for transmitter and receiver antennas, number of iterations for convergence under AWGN and Rayleigh fading channels. Two heuristic local search MIMO detectors are compared with other near-optimum detectors, specifically SDR (semidefinite relaxation), expectationmaximization (EM), and linear multiuser detectors. Besides, the MIMO detectors performances under large MIMO systems (high number of transmitter and/or receiver antennas) are analyzed. The performance × complexity tradeoff results have indicated promising features for the guided local search (GLS) procedures in high capacity MIMO detectors. Keywords-MIMO system, heuristic ...
Abstract-In multiple-input-multiple-output (MIMO) systems, there is a performance degradation usi... more Abstract-In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conventional detector (CD) due to the combined effects of the signal interference between antennas and the possible correlation between the received fading signals. Thus, the matched filter in each received antenna becomes inefficient in high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper ...
-O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas n... more -O receptor convencional (filtro casado) torna-se ineficiente em sistemas com múltiplas antenas no transmissor e receptor (MIMO) que demandem alta vazão (throughput) de dados e/ou estejam sujeitosà interferência e/ou estejam operando sob canais correlacionados. A taxa de erro de bit ou a capacidade serão degradados substancialmente quando a diversidade espacial proporcionada pelas múltiplas antenas não puder ser totalmente aproveitada e o processo de detecção for incapaz de separar eficientemente o sinal em cada antena. A solução discutida neste trabalho analisa detectores eficientes para sistemas MIMO. Estes detectores utilizam informações dos sinais interferentes de forma a melhorar a detecção do sinal na antena de interesse, proporcionando assim vantagens sobre o sistema convencional,às custas de um incremento de complexidade. O foco deste trabalho consiste na comparação das características de três detectores sub-ótimos representativos, baseados na função de máxima verossimilhança e no princípio da busca guiada. Especialmente, neste trabalhoé explorado o compromisso complexidade × desempenho do detector esférico (SD), do detector baseado na decomposição QR (QRD -QR decomposition) e o de busca guiada "gulosa"(GSD -greedy search detector).
In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conven... more In multiple-input-multiple-output (MIMO) systems, there is a performance degradation using conventional detector (CD) due to the combined effects of the signal interference between antennas and the possible correlation between the received fading signals. Thus, the matched filter in each received antenna becomes inefficient in high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in proposing a hybrid guided search MIMO detector utilizing the main advantages of two representative sub-optimal detectors based on the maximum-likelihood function and the guided search principle, the Sphere Detector (SD) and the QR decomposition with M algorithm based (QRD-M).
Under MIMO channels, the matched filter detection becomes inefficient to deal with high data thro... more Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in . In this way, the complexity × performance trade-off for the sphere detector (SD), the QR decomposition-based detector (QRD) the greedy search detector (GSD) and its variants, all of them aided (or not) by the LR technique are analyzed and its potential of use in MIMO systems is put in perspective.