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In this paper, we consider the problem of secure communication in multiuser downlink wiretap networks where there exist a base-station (BS) equipped with multiple antennas, multiple legitimate receivers and a passive eavesdropper. The transmitter simultaneously transmits an information signal and artificial noise (AN) separately to the intended receivers and the eavesdropper, in which way, the secrecy...
MIMO radar can provide enhanced spatial resolution and achieve better target detection performance. Hence the parameter identifiability of the system can be significantly improved. In this paper, the issue of direction of arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar is discussed, and several algorithms for DOA tracking based on monostatic MIMO radar in impulsive noise background...
This paper introduces filter bank multicarrier (FBMC) as a potential candidate in the application of massive MIMO communication. It also points out the advantages of FBMC over OFDM (orthogonal frequency division multiplexing) in the application of massive MIMO. The absence of cyclic prefix in FBMC increases the bandwidth efficiency. In addition, FBMC allows carrier aggregation straightforwardly. Self-equalization,...
In this paper, we consider a dual-hop multipleinput-multiple-output (MIMO) half-duplex amplify-and-forward relay network. Each terminal is equipped with multiple antennas. A novel and efficient precoding scheme based on per-antennasignal to leakage plus noise ratio (PA-SLNR) maximization is used at the relay downlink. We consider linear processing only at the relay terminal. The channel state information...
Multicell coordinated beamforming, where multiple base stations (BSs) collaborate with each other in the beam-vectors design to mitigate the intercell interference (ICI), has been a subject of great attention recently. With perfect channel information available at the base stations, we first present a fast converging algorithm that solves the weighted sum rate maximization (WSRM) problem. Then, the...
We propose computationally efficient MIMO detection scheme which can provide accurate soft decision information to the decoder. The detection process has two stages. The proposed scheme first detects MIMO symbols using MMSE method, and calculates noise variances of each detected symbol. Next, the detected symbols are demodulated in bits by maximum likelihood method respectively. The proposed scheme...
Water-filling methods is one of techniques to improve a performance of multiple input multiple output (MIMO) system. However, the application of water-filling method to multiple hops MIMO relay system hasn't been discussed, especially in amplify and forward scheme. In this paper, the water-filling method for multiple hops MIMO relay system with amplify and forward scheme is proposed and evaluated...
We consider physical layer security of massive MIMO systems in TDD mode. We show that with massive MIMO a passive eavesdropper is not very dangerous and must therefore be active and attack the training phase. An attack on the training phase is potentially very harmful to the physical layer security, and we therefore investigate three different schemes for detecting the presence of an active eavesdropper...
In this paper, we investigate robust precoding for two-way relay cognitive networks consisting of a pair of cognitive transceiver users equipped with Multiple Input Multiple Output (MIMO) antenna communicating with each other through a common multi-antenna relay and sharing the same spectrum with primary users (PU). The uncertainty set in this CSI model is defined as Norm Bounded Error (NBE) model...
In this paper a new maximum likelihood (ML) based detector for multi-input multi-output (MIMO) channels in spatio-temporal colored noise fields is proposed. It is assumed a Kronecker model of spatio-temporal correlation of noise. Approximate ML (AML) detection algorithm of MIMO channels is considered for two cases: known noise correlation matrix and unknown noise correlation matrix. The ML decoder...
This paper proposes 2×2 MIMO OQAM/FBMC receiver strategy based on successive interference cancellation (SIC) as an extension of the SISO approach which uses entirely real-valued formulation of the transmission system model]. Both increase of throughput and SNR gain are observed through appropriate maximum ratio combining (MRC) of the soft symbols pertaining to the receiver-end diversity branches....
This paper is concerned with the secure MIMO transmission in a classic three-node network, in which both the transmitter (Alice) and the receiver (Bob) simultaneously send artificial noise (AN) to impact the channel of the eavesdropper (Eve). Only statistical information about the eavesdropper channel is available. Compared to previous works, this paper studies the scenario in which the main channel...
Recursive identification for semiparametric multi-channel Wiener systems is considered in the paper. Based on stochastic approximation, the recursive estimates are given for coefficients of each linear subsystem and the weighed coefficient with the help of the average derivative approach, then recursive nonparametric estimate is derived for the system nonlinearity by using kernel method. All estimates...
The non-linear performance of analogue electronic circuits is crucial during the design phase, while circuit simulators only give measures about the distortion generated by the total circuit, leaving designers clueless about the source of the problem. Distortion Contribution Analysis (DCA) is a simulation-based analysis technique that determines the distortion generated in the sub-circuits and shows...
In recently, there are many machine learning approaches have developed for intelligent control. One of these approaches is least squares-support vector machine regression (LS-SVMR). Besides, the robustness problem of the LS-SVMR among machine learning algorithms is importantly considered in recent years. Hence, for the robustness problem in LS-SVMR, a least trimmed squares support vector machine regression...
As a signal detection method for multiple-input multiple-output (MIMO) communications, this paper proposes multi-stream constrained search (MSCS) that achieves very good trade-off between computational complexity and bit error rate (BER) performance. The proposed method sets a minimum mean-squared error (MMSE) detection result to the starting point. From this point, MSCS searches for signal candidates...
This paper proposes a low-complexity joint source and relay energy-efficient resource allocation scheme for the two-hop multiple-input-multiple-output (MIMO) amplify-and-forward (AF) system when channel state information is available. We first simplify the multivariate unconstrained energy efficiency (EE)-based problem and derive a convex closed-form approximation of its objective function as well...
In this paper, the spatial resolution limit for ultrawideband (UWB) MIMO noise radar is presented based on the statistical resolution theory. The signal model of UWB MIMO noise radar is established, and the resolution of two closely spaced targets is modeled as a binary hypothesis test. The statistical spatial resolution limit (SSRL) for UWB MIMO noise radar is derived based on the generalized likelihood...
Mutual coupling among receive antennas can profoundly reduce the ergodic capacity of MIMO systems. Prior work has shown that these losses can often be mitigated by using multi-port antenna matching at the receiver; however, previous studies have focused exclusively on frequency-nonselective matching and rely on assumptions which are valid only for small bandwidths. In this paper, we revisit the ergodic...
This paper focuses on parameters estimation problems of multivariable nonlinear systems. A hierarchical least squares algorithm is proposed by using key-term separation principle and hierarchical identification principle. The algorithm has lower computational load than the existing over-parametrization methods. Finally, a numerical example is given to show the effectiveness of the proposed algorithm.
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