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Relay selection is a crucial method that can improve the spectrum efficiency and converge performance of relay assisted (RA) network. However, most of the existing research about relay selection did not consider the effect of imperfect channel state information (CSI) and the CSI obtaining cost. Few of the study about the relay selection with imperfect CSI focused mainly on the decode-and-forward (DF)...
In UWB-IR signal detection, the threshold of signal to noise ratio(SNR) limit the performance of FHN model detection method, from this point, wavelet packet is introduced into FHN model, a novel UWB-IR signal detection method based on wavelet packet and FHN model is proposed, in addition, the disadvantages of traditional single threshold wavelet packet is analyzed, combined with the new piecewise...
Automatic Modulation Classification (AMC) can be used in automatically identifying and classifying the modulation of communication devices. With the application of digital technique, AMC is developed towards higher frequency, which makes a lower probability of correct classification (PCC) at the conventional method. It is necessary for relay-communication to automatically classify the modulation of...
This paper investigates the coordinated beam-forming design for multi-cell MISO downlink beamforming system, aiming at maximizing the sum rate. In the proposed scheme, convex approximation approach is used to first recast the primal non-convex problem into an approximate problem of minimizing the sum of weighted inverse SINR. Then, an alternating optimization method is developed to address the approximate...
This paper considers robust beamforming design for coordinated multiple point joint transmission systems with imperfect channel state information at the base stations (BSs). A robust lower bound duality relation between the downlink max-min worst-case SINR optimization problem and the virtual uplink min-max worst-case SINR optimization problem is first revealed. Based on this, an iterative optimization...
This paper proposes a resource allocation scheme for enhanced inter-cell interference coordination (eICIC) in heterogeneous networks. In the eICIC system, the macro eNBs will stop data transmission in almost blank subframes (ABSs), where the UEs in small cells can be protected. The proposed scheme takes into account both the number of the ABSs configured at the macro eNBs and the UE partition scheme...
This paper investigates the channel quality indicator (CQI) adjustment for enhanced inter-cell interference coordination (eICIC) scheme in heterogeneous networks (HetNets). In the eICIC scheme, the user equipments (UEs) in the protected cells (either small or macro cells) experience different interference levels due to the almost blank subframes (ABSs) configured at aggressor eNBs (macro or small...
In this paper, we study the channel estimation problem for time division multiplex amplify-and-forward (AF) relay channels. Both the source and the destination and also the in-between relay node comprise multiple antennas, and there are spatial fading correlations in each hop. We first derive a linear minimum mean square error (LMMSE) channel estimator from a simple scenario where there are no correlations...
Based on the sampled data of a sinusoidal signal corrupted by unknown constant bias and noise with non-zero mean, a simple and novel approach is proposed to reconstruct the sinusoidal signal having same frequency as the original signal but free from unknown constant bias. Moreover, the noisy component of reconstructed signal have a zero mean no matter what the mean value of noisy component of original...
In this article, the selective visual attention mechanism and curve detection by Connect The Dots model is introduced to small and dim target detection in deep space background. The greyscale and movement continual significance are fully taken into account to get focus of attention integration map. A curve detection method which based on Connect The Dots model is designed to detect the target trajectory...
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