Block Data Transmission Research Articles

Методы повышения производительности беспроводных сетей Wi-Fi

The paper considers the problem of increasing the bandwidth of wireless Wi-Fi networks in limited spectrum conditions. Various technologies are presented: increasing the length of the bit sequence, spatial diversity and multiplexing of signals, the technology of resource allocation in spatial diversity, as well as the method of block data transmission. Based on the conducted research, the further direction of the development of wireless Wi-Fi networks has been determined.

Animation Art Design Online System Based on Mobile Edge Computing and User Perception

Based on mobile edge computing and user perception technology, this paper analyzes and discusses the respective advantages and disadvantages of the important optimization models and mobile models in the animation art design, as well as the wireless block data transmission mechanism and protocol. In order to solve the problem that user mobility cannot be sensed, a content‐centric mobile edge animation art design mechanism based on user mobility perception is proposed. This mechanism comprehensively calculates the centrality of users’ perception of nodes, the idle rate of animation design, and the staying time of users in a small area. The mobile edge network controller integrates the information of each edge user’s perception node, calculates the importance of each edge user’s perception node and prioritizes it, and selects the appropriate content animation to design the user perception node according to the ranking result. Finally, various simulation or platform test experiments were carried out for all the design schemes in this paper, and the experimental results were analyzed. The simulation experiment results show that compared with the traditional animation design mechanism, the animation art design system effectively reduces the average number of hops for users to obtain content by up to 15.9%, improves the hit rate of edge user perception node animation design by at least 13.7%, and reduces the traffic entering the core network by up to 32.1%. According to the comparison results, the various designs in this work can successfully use sensor data to preclassify migration tasks in the mobile edge network environment. Compared with the latest block data transmission protocol, it has a significant performance improvement, reducing the data distribution delay by 34.8%, thereby helping to improve the overall efficiency of mobile edge computing.

Detection of Jamming Attacks in a Cluster WSN using Statistical Approach

In this paper, a new jamming detection approach for Wireless Sensor Networks is produced in the hostile environment. Significantly there are many types of attacks are present which damage the sensor nodes in the network. Among these jamming is a highly risky attack which completely block data transmission in the wireless network. As the Wireless Sensor Networks are mainly applied in the place where crisis occurs and in war field applications, consistent and secure transmission are major things which help for success of communication. Therefore it is necessary to detect and eliminate the jamming attack immediately for the successful mission on WSN. Various approaches are proposed for the detection and mitigation of jamming attacks, but the proposed methods are not suitable and unusable because of certain limitations. A novel mechanism for the detection of jamming in WSN is proposed, which is a statistical approach based on the network performance parameters. The proposed approach employs several network performance parameters, which differentiates our approach from most existing detection algorithms, since three parameters such as PLR, ENERGY, and RSSI is commonly used as a detection decision. The simulation model of proposed detection algorithm is implemented in ns-2 network simulator.

Optimized compression technology for spatial data network transmission

This paper considers how to reduce the amount of data to improve the user experience from data compression and network transmission technology according to the characteristics of map tile technology. The former mainly reduces the amount of data itself through the elimination of redundant data of PNG files and lossless compression. The latter reduces the amount of data in network transmission through the GZIP compression technology to achieve dynamic compression before the vector block data transmission thus effectively reducing the amount of data in network transmission while saving data transmission time. Experiments and applications show that the above two methods can greatly improve data transmission performance.

Reduced Complexity Optimum Detector for Block Data Transmission System Using<i> A<sub>n</sub> </i>Lattice Sphere Detection Technique

Block Data Transmission Systems (BDTS) are used in high speed wireless communication systems with time dispersive channel characteristics. Since Maximum Likelihood Block Detection (MLBD) requires huge amount of computation, Sphere Detection (SD) technique has been introduced as an alternative. This paper proposes an An Lattice Sphere Detection (AnLSD) technique for detection in block data transmission systems (BDTS). The An lattice structure offers more dense constellation points than the customary Zn lattice in SD technique. Thus, the proposed AnLSD uses An lattice generator matrix as the channel matrix, and uses the Gram matrix which is obtained from the generator matrix as part of the detection process. Simulation results show that the proposed AnLSD performs very close to the Exhaustive search (ES) using block size of 20 bits. It is also performing better than the other renowned methods tested under a channel with spectral nulls. The proposed AnLSD technique offers significant reduction in term of objective functions evaluation as compared to the other renowned methods.

Radius selection for lattice sphere decoder-based block data transmission systems

Lattice sphere decoder (LSD) searches lattice points in space within a certain radius (d), where the closest point obtained is considered the solution. It is well known in LSD, when the initial radius (d) increases, the complexity increase. Therefore, this paper aims to obtain an initial radius (d) exact expression to reduce the system complexity with reasonable performance. The derived expression shows that initial radius (d) depends on lattice dimension n, signal-to-noise ratio ($$\gamma$$?), and noise variance $$\sigma^{2}$$?2. Hence, this paper proposed a new LSD for BDTS based on this initial radius technique. The proposed LSD achieves a good balance between complexity and performance. Other analytical expressions for complexity and performance in relation with (d) are also derived. It has been observed that the convergence between the analytical system performance and complexity with their respective simulation results.

Regularized Lattice Sphere Decoding for Block Data Transmission Systems

This paper presents Lattice Sphere Decoding (LSD) with regularization techniques for block data transmission systems. It has shown that a small condition number ($$\tau $$?) results in better detection performance. This paper aims to reduce this value to its smallest possible value. Regularization technique offers reduction in condition number ($$\tau $$?) that improves LSD performance. In this work, two regularization techniques are utilized on LSD. First, $$\hbox {L}_{1}$$L1-regularization method is introduced, which sums the mixed norms. Second, $$\hbox {L}_{2}$$L2- regularization method, which is the most commonly used method of regularization for ill-conditioned problems in mathematics. We derive the exact relationship between the LSD performance and condition number ($$\tau $$?) as well as the relationship between LSD initial radius (d) and condition number ($$\tau $$?). The derived equations show their convergence to the fact that the performance increases as the radius (d) increases. Simulation results show that the LSD with $$\hbox {L}_{1}$$L1-regularization technique offers smaller condition number ($$\tau $$?), and therefore, produces better system performance. From the performance results and the complexity analysis, it is apparent that the proposed techniques achieve a good balance between complexity and performance.

Lattice Sphere Decoding for Data Transmission Systems with Special Channel Matrices

This paper presents the effects of condition number ( $$\tau $$ ? ) in communication system performance. It has been shown that a small condition number ( $$\tau $$ ? ) results a better performance. The proposed scheme is using special kind of matrices with Lattice Sphere Decoding (LSD) technique for Block Data Transmission Systems (BDTS). Hankel and Toeplitz matrices are used separately as a channel matrix (H) while circulant matrix is used in the previous works. The proposed scheme reduced the condition number ( $$\tau $$ ? ) and, therefore, improve the system performance. As a result; LSD-based BDTS with Toeplitz/Hankel matrix outperforms the LSD-based BDTS with circulant matrix. Complexity analysis is also done which based on lattice dimension and initial radius selection.

Near-<i>A<sub>n</sub></i>-Lattice Sphere Decoding Technique Assisted Optimum Detection for Block Data Transmission Systems

This letter proposes the use of a new near-An-lattice sphere decoding (LSD) technique for optimum detection in block-data transmission systems instead of the traditional LSD technique. The proposed channel matrix mimics the generator matrix of an An lattice. The condition number (λ) of the proposed channel matrix is less than those of traditional LSD matrices and the initial radius (d) is deterministic, thus the proposed technique achieves significant improvement in performance and complexity reduction.

An Investigation of Block Coding for Laplacian Noise

In many communication channels, the ambient disturbance is known through experimental evidence as well as theoretical considerations to deviate strongly from the Gaussian model. In order to evaluate the performance of digital signaling in such channels, the non-Gaussian noise must be properly modeled. The Laplace distribution is used here to model the non-Gaussian noise and study the performance of communication systems employing block data transmission in the presence of impulsive noise. Analytical expressions for assessing codeword error probability and bit error probability are derived for hard-decision decoders, soft-decision decoders and optimum maximum likelihood detectors in both nonfading and quasi-static Rayleigh fading scenarios. Numerical results are presented for different codes, block sizes and error rate levels. The characteristics of error performance are discussed for both nonfading and quasi-static Rayleigh fading channels.

Reduced complexity optimum detector for block data transmission systems using Lattice Sphere Decoding technique

The complexity of the exhaustive search decoding technique such as Maximum Likelihood Block Detection (MLBD) grows exponentially with the size of transmitted data. In this paper, a Lattice Sphere Decoding (LSD) technique is proposed for detection in block data transmission systems (BDTS). Simulation results at 10dB channel SNR of BDTS with LSD using block size of 20 performs are near Hybrid Micro Genetic Algorithm (HMGA) and slightly inferior than the exhaustive search technique using the channels with spectral nulls. In term of complexity, the proposed LSD technique requires only 460 and 126 objective functions evaluation using radius selection based on Babai Estimation (BE) and off-line observation respectively, while the HMGA and exhaustive search requires 3750 and 220 objective functions evaluation respectively.

Single-Carrier Cyclic Prefix-Assisted PLC Systems With Frequency-Domain Equalization for High-Data-Rate Transmission

Achieving reliable high-speed communications over the power line requires robust modulation and equalization techniques to mitigate various hostile channel impairments. Multicarrier orthogonal frequency-division multiplexing (OFDM) has been proposed as the dominant modulation format for power-line communications (PLC). In this paper, we study a single-carrier cyclic prefix (SCCP)-assisted PLC system that employs block data transmission similar to OFDM and propose two frequency-domain equalizers based on the zero forcing and minimum mean-square error criteria. Performance comparisons with OFDM systems of identical system specifications are made via extensive computer simulations under different realistic channel parameters and data rates. The results show that the SCCP-assisted scheme outperforms the OFDM counterpart in most cases through higher frequency diversity exploitation while maintaining almost identical computational complexity. Other salient features of the SCCP technique for PLC applications are discussed. The proposed SCCP-assisted scheme is found to be an attractive alternative modulation technique for broadband PLC.

Reduced complexity optimum detector for Block Data Transmission Systems

Block Data Transmission Systems (BDTS) are used in high-speed wireless communication systems with time dispersive channel characteristics. In such systems, blocks of data are separated by zeros to mitigate the effect of Inter-Symbol-Interference (ISI) between the blocks. An optimal detection process employs the Maximum Likelihood Block Detection (MLBD) technique on each block individually in the presence of ISI and Gaussian noise based on the Euclidean distance as an objective function. The detection process is computationally expensive therefore Genetic Algorithms have been used to reduce the overall design complexity. In this work, three types of Genetic Algorithms have been incorporated in the detection process i.e. the conventional GA, Micro GA(µGA), and Hybrid µGA to reduce computational load. In particular, a novel training method for Hybrid µGA has been proposed. Simulation results at 10dB channel SNR for the BDTS with Hybrid µGA executes as low as 3,750 number of objective functions evaluation for a block size of 20. The Bit Error Rate (BER) performance of this system is relatively good i.e. around 1dB inferior to the BDTS using the Exhaustive Search method that requires as many as 220 number of objective functions evaluation.

Hearing instrument with data transmission interference blocking

One aspect relates to a method to block data transmission interference from an input of a receiver in a hearing instrument. In various embodiments, an acoustic-based signal representative of sound received at a microphone system is receiver. It is determined if a trigger associated with a data transmission has occurred. A signal representative of the acoustic-based signal is presented to the input of the receiver when the trigger has not occurred such that the receiver converts the acoustic-based signal into an output acoustic signal. The signal representative of the acoustic-based signal is blocked from the input of the receiver when the trigger has occurred such that data transmission interference is blocked from being converted into the acoustic signal. In various embodiments, the method further comprises presenting a signal representative of a substitute waveform to the input of the receiver when the trigger has occurred. Other aspects are provided herein.

Frequency-domain interference cancellation and nonlinear equalization for CDMA systems

In wireless broadband communications using code division multiple access (CDMA), interference cancellation (IC) techniques have been proposed to reduce multiuser access interference (MAI); however, their performance is limited by complexity constraints that still favor the use of rake receivers. In this paper, we propose an IC architecture that makes use of a block decision feedback equalizer (DFE) to remove intersymbol interference (ISI) and whose overall complexity is much lower than equivalent (in terms of performance) existing structures. In fact, by making use of a particular block data transmission format, all filters are implemented in the frequency domain (FD), and in particular, the DFE is iteratively designed according to the reliability of the detected data in the previous iteration. Due to the strong interaction of the FD-IC and the block DFE, error propagation in the receiver is reduced by simply interleaving (INT) chips before transmission. Simulations performed for an uplink communication on a wireless multipath channel show that the combination of FD-IC, block DFE, and chip INT provides an efficient solution with good performance for CDMA systems in dispersive channels.