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Coordinated multipoint transmission is applied to multi-cell millimeter wave (mmWave) non-orthogonal multiple access (NOMA) networks in downlink transmission in this letter. Multiple cooperative base stations (BSs) jointly transmit same signal to a cell-edge user as a far user. And each BS individually serves a near user at the same beamwidth with NOMA. Subsequently, the outage probability, outage sum rate and energy efficiency are derived. Further, simulation results are provided to verify the correctness of analytical derivation and demonstrate the cell-edge user’s performance improvement as well as the superiority of BS cooperation in multi-cell mmWave NOMA networks.

Gabor features have been shown to be effective for palm vein recognition. This paper presents a novel feature representation method, implementing the fusion of local Gabor histograms (FLGH), in order to improve the accuracy of palm vein recognition systems. A new local descriptor called local Gabor principal differences patterns (LGPDP) encodes the Gabor magnitude using the local maximum difference (LMD) operator. The corresponding Gabor phase patterns are encoded by local Gabor exclusive OR (XOR) patterns (LGXP). Fisher's linear discriminant (FLD) method is then implemented to reduce the dimensionality of the feature representation. Low-dimensional Gabor magnitude and phase feature vectors are finally fused to enhance accuracy. Experimental results from Institute of Automation, Chinese Academy of sciences (CASIA) database show that the proposed FLGH method achieves better performance by utilizing score-level fusion. The equal error rate (EER) is 0.08%, which outperforms other conventional palm vein recognition methods (EER range from 2.87% to 0.16%), e.g., the Laplacian palm, minutiae feature, Hessian phase, Eigenvein, local invariant features, mutual foreground local binary patterns (LBP), and multi-sampling feature fusion methods.

Information fusion is a key step in multimodal biometric systems. The feature-level fusion is more effective than the score-level and decision-level method owing to the fact that the original feature set contains richer information about the biometric data. In this paper, we present a multiset generalized canonical discriminant projection (MGCDP) method for feature-level multimodal biometric information fusion, which maximizes the correlation of the intra-class features while minimizes the correlation of the between-class. In addition, the serial MGCDP (S-MGCDP) and parallel MGCDP (P-MGCDP) strategy were also proposed, which can fuse more than two kinds of biometric information, so as to achieve better identification effect. Experiments performed on various biometric databases shows that MGCDP method outperforms other state-of-the-art feature-level information fusion approaches.

Unrestricted access to the Wideband Code Division Multiple Access (WCDMA) network depends on availability of and unrestricted access to Orthogonal Variable Spreading Code Factor (OVSF) codes. The OVSF codes, if not carefully assigned to users are easily exhausted. Here we propose an improvement to an existing algorithm, Region division Allocation and tagged it as Improved Region Division Allocation (IRDA) of OVSF codes. According to our algorithm, not only that a user uses codes within its allotted region but would be able to borrow channelization codes from other code regions. In situations where it borrows from other regions, our algorithm enables the user to return to its home code region as soon as it finds an available code. The simulation result indicates optimum and fair usage of the available code.

High Altitude Platform Stations (HAPS) can be affected by stratospheric winds. In this paper, a novel HAPS-CDMA swinging model based on a fixed angle beam forming is presented. And the impacts of the model are examined. From numerical results it is observed that the platform swinging can't be neglected. When swinging angle reaches 1°, the intra cell interference will increase by 5%, the inter cell interference will also rise, and the capacity will decline about 12.5%.

Scheduling plays an important role of mapping interactive simulation tasks onto heterogeneous computing nodes in simulation grid. A multi-objective multi-constrained task scheduling model was established considering the consumption of task load, message interaction between tasks, load of computing nodes, and communication delay. And the problem was solved on basis of genetic algorithm. The experimental results show that the proposed method is feasible.

Non-static transmission time interval (TTI) strategy is investigated in this paper, in order to improve the available potential performance of the enhanced uplink dedicated channel in universal telecommunication radio access low chip rate time division duplex system (UTRA LCR TDD). This strategy introduces a joint support of two kinds of TTI, 20ms and 5ms TTI. For 5ms TTI is competitive at end-to-end delays and buffering requirement, while 20ms TTI performs better in terms of mobile terminal power saving, cell coverage and overhead reduction. The simulation results show that with non-static TTI strategy, mobile power saving increases by 3.5% in PB3, 15.6% in VA30, and the uplink capacity increases by 10%.

Many fingerprint images are of very poor quality, which will greatly damage the performance of the automatic fingerprint identification system (AFIS). In order to ensure that the performance is robust with respect to the quality of input fingerprint images, an enhancement algorithm is necessary. Gabor filter is a very effective tool for image enhancement. In this paper, an algorithm that take advantage of the characteristics of gabor filter functions both in spectral and spatial domain are proposed to dynamically estimate the gabor filter's parameters and bandwidth. Finally, the images are filtered in frequency domain using the obtained gabor Frequency-domain filter function. The filtering results show that images are greatly improved.

Distributed multi-view video coding (DMVC) [1] has become a focus due to the prosperity of the multimedia applications in wireless sensor networks. We propose a novel method of an adaptive scheme, named side-information-adaptive Low Density Parity Check (LDPC) coding. Apart from the existing multiple side-information implications in DMVC, this paper is dedicated to not only utilizing LDPC to produce the syndromes to realize DMVC, but exploiting preferable side-information search scheme for decoding scheme between the temporal and the inter-view correlation in DMVC. Simulation results illustrate the significant improvements of the proposed scheme with high motion in DMVC for high motion video.

We have developed a discrete-time canonical model of CDMA time-varying (TV) channels based on canonical samples of the channel's spreading function in the multipath-Doppler domain. With this model, we propose a new two-stage blind identification and equalization algorithm based on the second-order statistics (SOS) of the observations. The ideal single-input multi-output (SIMO) model is equivalent to an additive Gaussian noisy (AGN) SIMO model so as to cancel the error propagation effects of this two-stage method. Compared with the subspace method, this new algorithm needs much less computation of the input correlation of the equivalent multi-input single-output (MISO) model. Simulations demonstrate the effectiveness of the algorithm.