Generalized Spatial Modulation in Large-Scale Multiuser MIMO Systems

Generalized spatial modulation (GSM) uses n(t) transmit antenna elements but fewer transmit radio frequency (RF) chains, n(rf). Spatial modulation (SM) and spatial multiplexing are special cases of GSM with n(rf) = 1 and n(rf) = n(t), respectively. In GSM, in addition to conveying information bits through n(rf) conventional modulation symbols (for example, QAM), the indices of the n(rf) active transmit antennas also convey information bits. In this paper, we investigate GSM for large-scale multiuser MIMO communications on the uplink. Our contributions in this paper include: 1) an average bit error probability (ABEP) analysis for maximum-likelihood detection in multiuser GSM-MIMO on the uplink, where we derive an upper bound on the ABEP, and 2) low-complexity algorithms for GSM-MIMO signal detection and channel estimation at the base station receiver based on message passing. The analytical upper bounds on the ABEP are found to be tight at moderate to high signal-to-noise ratios (SNR). The proposed receiver algorithms are found to scale very well in complexity while achieving near-optimal performance in large dimensions. Simulation results show that, for the same spectral efficiency, multiuser GSM-MIMO can outperform multiuser SM-MIMO as well as conventional multiuser MIMO, by about 2 to 9 dB at a bit error rate of 10(-3). Such SNR gains in GSM-MIMO compared to SM-MIMO and conventional MIMO can be attributed to the fact that, because of a larger number of spatial index bits, GSM-MIMO can use a lower-order QAM alphabet which is more power efficient.

Minimum-Error-Probability CFO Estimation for Multiuser MIMO-OFDM Systems

We consider carrier frequency offset (CFO) estimation in the context of multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over noisy frequency-selective wireless channels with both single- and multiuser scenarios. We conceived a new approach for parameter estimation by discretizing the continuous-valued CFO parameter into a discrete set of bins and then invoked detection theory, analogous to the minimum-bit-error-ratio optimization framework for detecting the finite-alphabet received signal. Using this radical approach, we propose a novel CFO estimation method and study its performance using both analytical results and Monte Carlo simulations. We obtain expressions for the variance of the CFO estimation error and the resultant BER degradation with the single- user scenario. Our simulations demonstrate that the overall BER performance of a MIMO-OFDM system using the proposed method is substantially improved for all the modulation schemes considered, albeit this is achieved at increased complexity.

Inner Bound on the GDOF of the K-User MIMO Gaussian Symmetric Interference Channel

The K-user multiple input multiple output (MIMO) Gaussian symmetric interference channel where each transmitter has M antennas and each receiver has N antennas is studied from a generalized degrees of freedom (GDOF) perspective. An inner bound on the GDOF is derived using a combination of techniques such as treating interference as noise, zero forcing (ZF) at the receivers, interference alignment (IA), and extending the Han-Kobayashi (HK) scheme to K users, as a function of the number of antennas and the log INR/log SNR level. Several interesting conclusions are drawn from the derived bounds. It is shown that when K > N/M + 1, a combination of the HK and IA schemes performs the best among the schemes considered. When N/M < K <= N/M + 1, the HK-scheme outperforms other schemes and is found to be GDOF optimal in many cases. In addition, when the SNR and INR are at the same level, ZF-receiving and the HK-scheme have the same GDOF performance.

Outer Bounds on the Sum Rate of the K-User MIMO Gaussian Interference Channel

This paper derives outer bounds on the sum rate of the K-user MIMO Gaussian interference channel (GIC). Three outer bounds are derived, under different assumptions of cooperation and providing side information to receivers. The novelty in the derivation lies in the careful selection of side information, which results in the cancellation of the negative differential entropy terms containing signal components, leading to a tractable outer bound. The overall outer bound is obtained by taking the minimum of the three outer bounds. The derived bounds are simplified for the MIMO Gaussian symmetric IC to obtain outer bounds on the generalized degrees of freedom (GDOF). The relative performance of the bounds yields insight into the performance limits of multiuser MIMO GICs and the relative merits of different schemes for interference management. These insights are confirmed by establishing the optimality of the bounds in specific cases using an inner bound on the GDOF derived by the authors in a previous work. It is also shown that many of the existing results on the GDOF of the GIC can be obtained as special cases of the bounds, e. g., by setting K = 2 or the number of antennas at each user to 1.

Joint Channel Estimation and Data Detection in MIMO-OFDM Systems: A Sparse Bayesian Learning Approach

The impulse response of wireless channels between the N-t transmit and N-r receive antennas of a MIMO-OFDM system are group approximately sparse (ga-sparse), i.e., NtNt the channels have a small number of significant paths relative to the channel delay spread and the time-lags of the significant paths between transmit and receive antenna pairs coincide. Often, wireless channels are also group approximately cluster-sparse (gac-sparse), i.e., every ga-sparse channel consists of clusters, where a few clusters have all strong components while most clusters have all weak components. In this paper, we cast the problem of estimating the ga-sparse and gac-sparse block-fading and time-varying channels in the sparse Bayesian learning (SBL) framework and propose a bouquet of novel algorithms for pilot-based channel estimation, and joint channel estimation and data detection, in MIMO-OFDM systems. The proposed algorithms are capable of estimating the sparse wireless channels even when the measurement matrix is only partially known. Further, we employ a first-order autoregressive modeling of the temporal variation of the ga-sparse and gac-sparse channels and propose a recursive Kalman filtering and smoothing (KFS) technique for joint channel estimation, tracking, and data detection. We also propose novel, parallel-implementation based, low-complexity techniques for estimating gac-sparse channels. Monte Carlo simulations illustrate the benefit of exploiting the gac-sparse structure in the wireless channel in terms of the mean square error (MSE) and coded bit error rate (BER) performance.

Power Allocation in MIMO Wiretap Channel with Statistical CSI and Finite-Alphabet Input

In this paper, we consider the problem of power allocation in MIMO wiretap channel for secrecy in the presence of multiple eavesdroppers. Perfect knowledge of the destination channel state information (CSI) and only the statistical knowledge of the eavesdroppers CSI are assumed. We first consider the MIMO wiretap channel with Gaussian input. Using Jensen's inequality, we transform the secrecy rate max-min optimization problem to a single maximization problem. We use generalized singular value decomposition and transform the problem to a concave maximization problem which maximizes the sum secrecy rate of scalar wiretap channels subject to linear constraints on the transmit covariance matrix. We then consider the MIMO wiretap channel with finite-alphabet input. We show that the transmit covariance matrix obtained for the case of Gaussian input, when used in the MIMO wiretap channel with finite-alphabet input, can lead to zero secrecy rate at high transmit powers. We then propose a power allocation scheme with an additional power constraint which alleviates this secrecy rate loss problem, and gives non-zero secrecy rates at high transmit powers.

一类线性MIMO离散系统的切换控制方法

提出一种针对线性MIMO离散系统的切换控制方法.该切换控制方法不仅利用了系统输出误差,而且利用了控制器的状态变量信息,使系统具有理想的动态响应特性.算法需要较少的被控对象信息,实时计算量小.仿真结果表明了该算法的有效性.

Las escenas espejo en el teatro isabelino : el jardín de Isabel en “La tragedia española” de Thomas Kyd

Resumen: Este trabajo busca demostrar cómo la escena de “El Jardín de Isabel” (acto IV, escena ii) en la obra La tragedia española de Thomas Kyd es un ejemplo de una escena espejo. Inicialmente se observa cómo esta escena está laxamente conectada con el resto de la obra y la misma no sufriría un cambio significativo de ser la escena eliminada; la característica de “prescindible” de ésta, es propia de una escena espejo. La escena del Jardín de Isabel es luego estudiada en profundidad para dejar en evidencia cómo resume la obra y la simboliza. El personaje de Isabel es examinado en detalle, siguiendo una sensibilidad pictórica y, a través de una interpretación temática y simbólica, Isabel es presentada como Piedad, Testigo de Justicia Divina y Venganza. Finalmente el espacio es también analizado como locus amoenus al ser inicialmente un lugar de encuentro de los enamorados y locus eremus luego de la maldición de Isabel. Luego del estudio de estos aspectos de esta escena espejo, se pone en evidencia cómo la misma “refleja” los temas centrales de la obra: la verdad se revela con el tiempo, hay que ser paciente y esperar la justicia divina y, por último, la venganza sólo condena al vengador.

Construcciones científicas del teatro: la pregunta epistemológica en los estudios teatrales

Resumen: El artículo afirma que en la Teatrología argentina de los últimos años ha crecido la conciencia y la responsabilidad de los investigadores respecto de la pregunta epistemológica. Se llama base epistemológica para el estudio teatral a la elección de las condiciones de conocimiento que determinan los marcos, las capacidades y las limitaciones teóricas, metodológicas, historiológicas, analíticas, críticas y pedagógicas de un investigador ante su objeto de estudio. La determinación de la base epistemológica depende del posicionamiento consciente del investigador respecto de su relación científica con el teatro. El artículo afirma que diferentes líneas científicas construyen concepciones del teatro diferentes. Finalmente se describe la base epistemológica de la Filosofía del Teatro, disciplina de innovación en los estudios teatrales de la Argentina.

Estrategias de gestión y producción escénica en el teatro independiente argentino de 2001 a 2011

Resumen: Este ensayo establece una territorialización de los lenguajes teatrales alternativos como zona específica de la cultura urbana, y los historiza en la tradición de la escena independiente argentina. Analiza el contexto específico de la crisis financiera que eclosionó en 2001 y la producción más reciente, dando cuenta de un periodo tan conflictivo en lo económico como prolífico en lo teatral. Se describen las actividades de gestión y producción escénicas, que incluyen la búsqueda de espacios, subsidios y respaldo institucional, y la implementación de estrategias de difusión y explotación. Estas labores específicas son desarrolladas de manera particular por numerosos teatristas argentinos de entre 30 y 40 años, ya legitimados, incluso a nivel internacional. Estos dramaturgos-actores-directores co-construyen representaciones sociales compartidas, y manifiestan diferentes modalidades estratégicas asociativas, tales como la rotación de roles y el trabajo en colaboración.