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Here we have presented an alternate ANN structure called functional link ANN (FLANN) for channel equalization. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. A novel method of training the FLANNs using PSO Algorithm...
One of the main obstacles to reliable communications is the inter symbol interference. An adaptive equalizer is required at the receiver to mitigate the effects of non-ideal channel characteristics and to obtain reliable data transmission. The conventional way to combat with ISI is to include an equalizer in the receiver. This paper presents a new approach to equalization of communication channels...
IEEE 802.11 Wireless Local Area Network (WLAN) Physical Layer (PHY) offers multiple data rates. In multi-rate WLANs, 802.11 Medium Access Control (MAC) protocol, Distributed Coordination Function (DCF), essentially provides equal transmission opportunities to each sender host, causing the degradation of system throughput due to some hosts using low rates. In this paper we propose a cross-layer link...
Opportunistic scheduling for wireless network coding (OWNC) combines the strategies of opportunistic scheduling and network coding. This paper applies two variants of OWNC on a two-user OFDMA system. Symbol-based OWNC decides a strategy from sum rate of the whole OFDM symbol. Subcarrier-based OWNC decides a strategy from the capacity on a subcarrier level. Novel algorithms are derived for power allocation...
Antenna selection is a powerful method in order to reduce the complexity of transmission and reception in a multi-antenna system. Interestingly, this method has been considered mostly for point-to-point communication. In this paper, we investigate the impact of different antenna selection criteria on the performance of wireless networks using interference alignment, a transmit strategy which has attracted...
In this paper, we propose a non-data-aided (NDA) signal-noise ratio (SNR) estimation algorithm for quadrature amplitude modulation (QAM) signals in additive white Gauss noise (AWGN) channel using Fuzzy logic interface. The NDA SNR estimation algorithm for QAM signals is derived based on a statistical ratio of observables over a block of data. It was shown that SNR can be effectively calculated by...
This paper addresses the data-aided signal-to-noise ratio (SNR) estimation in time-variant flat Rayleigh fading channels. The time-variant fading channel is modeled by considering the Jakes' model and the first order autoregressive (AR1) model. Closed-form expressions of the Cramér-Rao bound (CRB) for data-aided SNR estimation are derived for fast and slow fading Rayleigh channels. As a special case,...
We propose a robust signal to interference and noise ratio (SINR) balancing beamforming technique for a multiple input and multiple output (MIMO) based cognitive radio (CR) network. The aim is to design transmitter and receiver beamformers for multiple secondary users (SUs) while ensuring interference leakage to multiple primary users (PUs) is below a prescribed threshold. We use an iterative approach...
We consider the SINR variation generated by the change of spatial interference pattern in a cellular communication system, which is especially severe when using adaptive array for transmission. In this paper, we derive the distribution of SINR variation at the output of Interference Rejection Combining (IRC) and Maximum Ratio Combining (MRC) receivers, assuming equal-power interferers. The analysis...
Hybrid ARQ with Incremental Redundancy (IR-HARQ) is one of the most popular coding technique for having a reliable transmission link. The efficiency which is the ratio between the number of correctly received bits and the number of transmitted bits is a crucial metric for analyzing the performance of an HARQ scheme. In the literature, closed-form expressions for the efficiency of the IR-HARQ scheme...
Novel higher order polynomial neural network architecture is presented in this paper. The new proposed neural network is called dynamic ridge polynomial neural network that combines the properties of higher order and recurrent neural networks. The advantage of this type of network is that it exploits the properties of higher-order neural networks by functionally extending the input space into a higher...
Automatic identification of digital signal types is of interest for both civil and military applications. This paper presents an efficient signal type identifier that includes a variety of digital signals. In this method, a combination of spectral and statistical features are used as an input to the classifier. Also the features are weighted based on the degree of dispersion to increase the effect...
In this paper, a weak signal detection method based on radial basis function (RBF) neural networks is discussed. The principle of weak signal detection with a background noise predictor is that the predictor trained by chaotic time series has a small prediction error, and the prediction error becomes relative large when the input contains a source or target. By exploiting the short-term predictability...
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