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In this paper, we study the optimum transceiver design of multi-user multiple-input multiple-output (MU-MIMO) systems with distributed antennas. The basestation in the system is equipped with multiple distributed antenna units (DAUs) spreading out at different locations in a service area, and they are connected to a central unit (CU) through high-throughput low-latency links such as optical fibers...
Time-domain enhanced inter-cell interference coordination (eICIC) scheme using almost blank sub-frames (ABS) is one of the key technologies in Heterogeneous networks (Het-net). Static configuration of ABS has been proven to increase performance but the optimal ABS ratio is yet to be examined. Moreover, combing Coordinated Multi-Point transmission (CoMP), ABS could be more efficiency. This paper proposes...
In this study, improved normalized LMS adaptive filters are proposed to reduce the electromyogram (EMG) noise from ECG signals. The proposed technique mainly uses simple addition and shift operations and achieves considerable speed over other methods based on the LMS method. Simulation result gives by the improved versions of adaptive filter (NLMS, PNLMS, IPNLMS and MPNLS) show superior performance...
We consider a confidential communication system in which a source sends a confidential information to the destination in the presence of an eavesdropper. Multiple relays are used to provide cooperative diversity to the destination. The destination and the eavesdropper are equipped with multiple antennas while each relay and source are equipped with single antenna. We are interested to protect the...
Arabic language is used as a second language by a wide category of Muslims for reciting the Holy book of Muslims (Qur'an). The continuous Arabic phonemes corpus adds more challenges to the Automatic Speech Recognition system by paying more efforts in order to determine the start and end points for each phoneme. In addition, looking for a similar phoneme signal inside another long speech signal. In...
Recent achievements in wireless sensor networks have enabled the use of tiny and inexpensive sensors with the ability of sensing large information and propagating over large distances. But the most important concern with wireless sensor network is, the node sensing range is very small, Low storage and limited energy resources. So to overcome this type of problem efficient energy planning should be...
Device-to-Device (D2D) communication has been recently devised as a new paradigm that boosts spectrum reuse inside a cell, leading to enhanced quality of service and user experience. The design of proper D2D resource allocation schemes, which constitute the enablers towards this direction, is an open challenge. In this paper, we propose a D2D resource allocator based on the Ant Colony Optimization...
This study elaborates on the implementation of a strong noise suppression algorithm for speech-related applications. Three different structures of the linear minimum mean square error estimator are presented with parameter estimation. The reference voice sample is replaced with a similar one without degrading the performance.
This paper investigates the resource allocation schemes for Voice over Internet Protocol (VoIP) traffic under high speed train scenario, in which 2-state VoIP traffic model based on Markov chain is considered. Unlike the full-buffer traffic, in which the transmitter buffer is always full of data to be transmitted, VoIP traffic can be characterized by small packets in regular intervals with tight delay...
Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing (CS) in many applications such as Radar imaging and sparse channel estimation. Unlike the NSS, in this paper, we propose an adaptive sparse sensing (ASS) approach using reweighted zero-attracting normalized least mean fourth (RZA-NLMF) algorithm which depends on several given parameters, i.e., reweighted...
From the perspective of information flow, we first investigate the relationship between average channel capacity and average service over an Additive White Gaussian Noise (AWGN) channel. Based on the analysis, we then derive the base station arrangement strategy for the case with both large-scale fading and small-scale fading assumption. Besides, analytic comparisons of those strategies to that only...
In this paper, we consider a spectrum sharing cognitive radio network where a secondary user (SU) transmitter (SU-Tx) communicates with multiple SU receivers (SU-Rxs). There exist multiple eavesdroppers (EAVs) who illegally listen to the secondary network communication. Further, the primary network consists of a primary user (PU) transmitter serving multiple PU receivers. In particular, the SU-Tx...
Although considerable advances in underwater acoustic (UWA) communications and networking have been made in the last decade, research on the secure UWA communications and networking is limited. In this work, we consider the underwater distributed antenna systems (DAS) consisting of geographically distributed antenna elements (DAEs) that are connected via fibers or high-speed radio links, and address...
Sound source localization algorithms commonly include assessment of inter-sensor (generalized) correlation functions to obtain direction-of-arrival estimates. Here, we present a classification-based method for source localization that uses discriminative support vector machine-learning of correlation patterns that are indicative of source presence or absence. Subsequent probabilistic modeling generates...
We propose a novel base stations (BSs) - mobile stations (MSs) association policy for cellular networks. In this policy, the BS which provides the highest signal-to-interference ratio (SIR) among those located within a predetermined maximum association distance of the MS is selected as the serving BS. This policy encompasses the conventional highest-SIR association as a special case. Application of...
As wireless communication services grow quickly, the seriousness of spectrum scarcity has been on the rise gradually. Cognitive radio (CR) is viewed as a novel approach for improving the utilization of the radio electromagnetic spectrum. Among its fundamental functions, the most important function is spectrum sensing. This paper develops spectrum sensing based on wavelet entropy(WE) in cognitive radio...
The nature of wireless channel in a wireless body area network is highly dynamic and hence, any static design is trivially sub-optimal. In this paper we propose a cross-layer channel-adaptive framework to adjust the MAC frame body length of the data packets. We propose two different approaches to incorporate the impact of the time-varying channel gain in the transmission policy aiming to improve the...
In this paper, we propose a novel user pairing scheme to reduce the error propagation in an amplify and forward (AF) based multi-way relay network (MWRN). We consider a user pairing scheme, where, a common user is chosen based on its average channel gain to form pairs with every other user in the MWRN. We show that choosing the common user as the user with the minimum average channel gain reduces...
This paper deals with adaptive Constant Modulus Algorithm (CMA) for the blind separation of communication signals. Ikhlef et al. proposed in 2010 an efficient block implementation of the CMA using Givens rotations. We introduce herein a fast adaptive implementation of this method which exploits recent developments on whitening techniques together with appropriate updating of the used statistics and...
There is an enormous literature associated with the estimation of the parameters of a sinusoid in additive noise. While there has been less work devoted to the estimation of the parameters of noisy sinusoids with exponentially damped amplitudes, the two problems have equally long histories, with a common solution proposed by Prony in 1795 [1]. Most of the modern approaches to the problem involve the...
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