Receive antenna selection for unitary space-time modulation over semi-correlated Ricean channels (original) (raw)
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Space-time coding over correlated fading channels with antenna selection
2004
In [1], antenna selection for multiple antenna transmission systems has been studied under the assumption that the subchannels between antenna pairs fade independently. In this paper, we consider the performance of such systems when the subchannels experience correlated fading. We assume that the channel state information is available only at the receiver, the antenna selection is performed only at the receiver, and the selection is based on the instantaneous received signal power. We quantify the effects of channel correlation on the diversity and coding gain when the receiver system uses all or a subset of the antennas. Theoretical results indicate that the correlations in the channel does not degrade the diversity order provided that the channel is full-rank. However, it does result in some performance loss in the coding gain. Furthermore, for non-full-rank channels, the diversity order of the system degrades significantly and is determined by the rank of the channel correlation matrix.
Near Optimal Receive Antenna Selection Scheme for MIMO System under Spatially Correlated Channel
International Journal of Electrical and Computer Engineering (IJECE), 2018
Spatial correlation is a critical impairment for practical Multiple Input Multiple Output (MIMO) wireless communication systems. To overcome from this issue, one of the solutions is receive antenna selection. Receive antenna selection is a low-cost, low-complexity and no requirement of feedback bit alternative option to capture many of the advantages of MIMO systems. In this paper, symbol error rate (SER) versus signal to noise ratio (SNR) performance comparasion of proposed receive antenna selection scheme for full rate non-orthogonal Space Time Block Code (STBC) is obtained using simulations in MIMO systems under spatially correlated channel at transmit and receive antenna compare with several existing receive antenna selection schemes. The performance of proposed receive antenna selection scheme is same as conventional scheme and beat all other existing schemes.
IEEE Transactions on Vehicular Technology, 2000
This paper analyzes the performance of multipleinput multiple-output (MIMO) systems with transmit and receive antenna selection (T-RAS). The average bit error rate (BER), average symbol error rata (SER), outage probability and ergodic capacity are derived by utilizing the characteristic function (CF) of the joint output signal-to-noise ratios (SNR). Our approach can be used over not only independent but also arbitrary correlated Rayleigh, Nakagami-m and Rician fading channels. Simulation results are provided to validate our numerical calculations. We also illustrate the effect of antenna array configuration and the operating environment (fading, angular spread, mean angle-ofarrival(AOA), mean angle-of-departure (AOD)) on the average BER performance.
On the Performance of Transmit Antenna Selection with OSTBC in Ricean MIMO Channels
Signals and Communication Technology, 2007
In this paper, the performance of orthogonal space-time block codes (OSTBCs) with transmit antenna selection (TAS) in a Ricean fading channel is analyzed. Out of the total of Lt transmit antennas, the receiver selects N antennas that maximize the received signal-to-noise ratio (SNR). A low rate feedback channel from the receiver to the transmitter is available to convey the indices of the selected transmit antennas. Bit error rate (BER) of Gray coded M-ary modulations is derived. Asymptotic performance analysis (high SNR) of the scheme is also carried out. We also present BER approximations and derive the diversity order and coding gain of the system. It is shown that the full diversity order of OSTBC is preserved in a Ricean fading environment when TAS is employed.
IEEE Transactions on Vehicular Technology, 2000
We consider a receive antenna selection multipleinput-multiple-output (MIMO) system, where only one out of N r receive antennas is selected. Spatial channel correlation will be considered at the receiver side only. Our goal is to investigate the capacity performance of this system. In particular, we will derive a closed-form expression for the outage probability and an upper bound for the ergodic (average) capacity. These quantities will be expressed using an infinite series representation. To do so, we will first derive the joint cumulative distribution function and the joint probability density function of the squared row norms of the channel matrix. This is enabled by taking advantage of the statistical properties of multivariate chi-squared random variables. Using the outage expression derived, we demonstrate that the considered antenna selection system achieves a full diversity order that is similar to a MIMO system without antenna selection. Next, we derive the probability density function of the maximum of the squared row norms of the channel matrix and its moments, which is straightly related to the system ergodic capacity. We also analyze the error rate performance of the aforementioned receive antenna selection MIMO system while using orthogonal space-time block codes (OSTBCs) at the transmitter. Our simulation results are shown to validate our analytical findings.
International Symposium on Telecommunications, 2008
In this paper, we cast the problem of finding the capacity-achieving transmit covariance of correlated Ricean MIMO fading channels as an equivalent problem as for uncorrelated Ricean MIMO channels. Perfect channel information is assumed to be available at the receiver, while the transmitter only has channel distribution side information. An iterative algorithm based on Newton method to compute the capacity-achieving transmit covariance for the general case of double-ended correlated MIMO channels is proposed in this paper as well. Additionally, we provide a reduced complexity technique to attain a suboptimal transmit covariance. One of the main contributions in this paper is the characterization of the eigenstructure of the suboptimal transmit covariance. Moreover, Sufficient condition is derived for the optimality of this suboptimal solution.
Space-Time Network Coding with Antenna Selection
IEEE Transactions on Vehicular Technology, 2016
In this paper, we investigate the space-time network coding (STNC) with antenna selection (AS) in the cooperative multiple-input-multiple-output (MIMO) network, where U users communicate with a common destination D with the aid of R decode-and-forward (DF) relays. In this network, the best transmit/receive antenna pair with the highest signal-to-noise (SNR) ratio is selected to perform the signal transmission and reception over the user-destination and relay-destination links. To quantify the performance degradation of STNC with AS due to time delay between instants of channel state information (CSI) estimation and data transmission, we derive the symbol error rate (SER) and capacity expressions over flat Rayleigh fading channels. The asymptotic SER expression reveals that STNC with AS guarantees full diversity order of (N u + R r=1 N r)N D , where N u , N r , and N D are the antenna numbers of user u, relay r, and the destination D, respectively, when the AS is performed based on perfect CSI, and outdated CSI degrades the full diversity order to R + 1. We also examine the effect of spatial correlation on the performance of STNC with AS by obtaining new closed-form expression for the asymptotic SER, which indicates that STNC with AS achieves the full diversity order over flat correlated Rayleigh channels, regardless of the value of spatial correlation coefficient. Numerical and simulation results are provided to demonstrate the accuracy of our theoretical analysis and evaluate the performance of STNC with AS.
IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007
This paper presents an analysis on the capacity and performance of MIMO-OFDM systems. The work is focused on the capacity of MIMO-OFDM systems over rician fading channel, in the case of the channel being known at the receiver only, which is more practical case of the channel. Simple expression for capacity is derived for the case of correlated rician fading. The performance of some MIMO-OFDM implementations with rician fading model is presented using an Alamouti coding scheme and Simulation results are obtained for both capacity and performance analysis.
Journal of Shanghai Jiaotong University (Science), 2009
We address the problem of adaptive modulation and coding scheme (AMCS) for a multi-input multioutput (MIMO) system in presence of time-varying transmitting correlation. Antenna subset selection and quasiorthogonal space-time block code (QOSTBC) have different error performances with different signal-to-noise ratios (SNRs) and in different spatial correlation scenarios. The error performance can be improved by selecting an appropriate transmission scheme to adapt to various channel conditions. The maximum distance criterion is the simplest and very effective algorithm for the antenna subset selection without needs of complex calculation and channel state information at transmitter (CSIT). The minimum error performance criteria and the simplified linear decision strategy are developed for constant transmission rate traffic to select the optimal transmission scheme. It can dramatically decrease algorithm complexity for obtaining error probability according to the known quantities comparing with using instant CSIT. Simulation results show that, remarkable performances including low SNR and weak spatial correlation at the expense of simple calculation and almost no bandwidth loss by adopting AMCS can be achieved. The proposed AMCS improves robustness of slowly varying spatial correlated channels.
Receive antenna selection for MIMO systems over correlated fading channels
Wireless Communications, IEEE Transactions on, 2009
In this letter, we propose a novel receive antenna selection algorithm based on cross entropy optimization to maximize the capacity over spatially correlated channels in multiple-input multiple-output (MIMO) wireless systems. The performance of the proposed algorithm is investigated and compared with the existing schemes. Simulation results show that our low complexity algorithm can achieve near-optimal results that converge to within 99% of the optimal results obtained by exhaustive search.