Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.

5G construction is becoming increasingly important. This paper introduces the theoretical basis of multi-mode filter, and on the basis of theoretical calculation and analysis, a novel 5G cavity multi-mode resonator and filter is designed by using ads/HFSS simulation software. The electric field characteristic of resonator is analyzed, and the mutual coupling between modes is realized by the way of screw perturbation. The electric field distributions of the mode is changed by adding tuning screws, two coupled degenerate modes act as two coupled resonators, so that the numbers of resonator can be reduced while keeping the resonance loop unchanged. For example, the characteristics of 3N section filter can be realized in the physical space of a traditional n-section filter by using three modes of a resonator, thus greatly reducing the volume of the filter. The results show that in the pass-band (3.5 GHz ~ 3.6 GHz): return loss > 17.9 dB, standing wave ratio < 1.29, insertion loss < 0.31 dB, a transmission zero point is introduced at 4 GHz on the right side of the pass-band, which makes the right side out of band attenuation rapidly. The filter has the advantages of small insertion loss, small size and good rejection of out of band, which can be applied to 5G band wireless communication system for better reliability.

Orthogonal Sequences (as M-Sequences, Walsh Sequences,…) are used widely at the forward links of communication channels to mix the information on connecting to and at the backward links of these channels to sift through this information is transmitted to reach the receivers this information in a correct form, especially in the pilot channels, the Sync channels, and the Traffic channel. This research is useful to generate new sets of orthogonal sequences (with the bigger lengths and the bigger minimum distance that assists to increase secrecy of these information and increase the possibility of correcting mistakes resulting in the channels of communication) from quotient rings Z/<i>n</i>Z, where Z is the integers and <i>n</i> is not of the form <i>p^m</i>, where <i>p</i> is prime, replacing each event number by zero and each odd number by one, also, the increase in the natural number does not necessarily lead to an increase in the size of the biggest orthogonal set in the corresponding quotient ring. The length of any sequence in a biggest orthogonal set in the quotient ring Z/<i>n</i>Z is <i>n</i> and the minimum distance is between (<i>n</i>-3)/2 and (<i>n</i>-1)/2 and the sequences can be used as keywords or passwords for secret messages.

Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the most obliging element on the functionality of such systems as they are controlled with constrained vitality and replacement of vitality resources might be difficult. While sending the data in sensor network, there might be loss of information or miscalculation could occur in receiving data during transferring. The correctness of information has incredible impact on the performance of the network. To enhance the exactness of sensor information, minimizing vitality utilization and adaptation to internal failure is vital for some WSN’s applications as they operate in unpredictable conditions and ought to stay operational regardless of whether a network failure happen. This paper surveys the available energy efficient, reliability and fault tolerant in WSNs. It focuses on Residue Number System (RNS) and Agent technologies for energy-efficient and fault tolerant in WSNs respectively. However, performance evaluation was also conducted based on the energy consumption, reliability, delay in receiving the sent data and efficiency.

This research paper is intended to derive, simulate and analyze the capacity of cognitive radio (CR) system in fading channels. Capacity being an information theoretic perspective for a wireless system plays a role in the amount of information bits which can be transmitted. As wireless channel is subjected to multipath effects in a CR system caused by fading, capacity analysis needs to be done. Simulation carried out in terms of capacity, mean square error for channel estimation and bit error rate (BER) for the proposed system model of cognitive radio can give valuable information about performance of CR system in terms of data bits handling capacity. The amount of capacity in flat fading channels and frequency selective fading channels are simulated. The obtained results in terms of capacity can be used as reference for further analysis to be explored relating to design of cognitive radio systems for developing applications for 5G systems.

This paper describes a new approach for the visual pose estimation of an uncertain robotic manipulator using ANFIS (Artificial Neuro-Fuzzy Inference System) and two uncalibrated cameras. The main emphasis of this work is on the ability to estimate the positioning accuracy and repeatability of a low-cost robotic arm with unknown parameters under uncalibrated vision system. The vision system is composed of two cameras; installed on the top and on the lateral side of the robot, respectively. These two cameras need no calibration; thus, they can be installed in any position and orientation with just the condition that the end-effector of the robot must remain always visible. A red-colored feature point is fixed on the end of the third robotic arm link. In this study, captured image data via two fixed-cameras vision system are used as the sensor feedback for the position tracking of an uncertain robotic arm. LabVolt R5150 manipulator in our laboratory is used as case study. The visual estimation system is trained using ANFIS with subtractive clustering method in MATLAB. In MATLAB, the robot, feature point and cameras are simulated as physical behaviors. To get the required data for ANFIS, the manipulator was maneuvered within its workspace using forward kinematics and the feature point image coordinates were acquired with the two cameras. Simulation experiments show that the location of the robotic arm can be trained in ANFIS using two uncalibrated cameras; and problems for computational complexity and calibration requirement of multi-view geometry can be eliminated. Observing Mean Square Error (MSE), Root Mean Square Error (RMSE), Error Mean and Standard Deviation Errors, the performance of the proposed approach is efficient for using as visual feedback in uncertain robotic manipulator. Further, the proposed approach using ANFIS and uncalibrated vision system has better in flexibility, user-friendly manner and computational concepts over conventional techniques.

Energy harvesting tags with cooperative communication capabilities are recently emerging as a viable infrastructure for internet of things (IoT) applications. This letter studies the cooperative transmission strategy for a network of energy harvesting active networked tags (EnHANTs), that is adapted to the available energy resource and identification request. We consider a network of tags to communicate with the reader either directly or by cooperating with neighboring tags. We formulate the problem as a Markov decision process (MDP). The simulation results are provided to show the performance of the cooperative transmission policy under various energy harvesting scenarios.

The modern telecommunication is spread in every day live especially after 3G technologies and beyond. The traditional mass media (TV & Radio) stations has also influenced and get dramatic changes by the new information technologies. So the partnership between the carriers and the traditional media was Inevitable. Also contribution of the third party which called Mobile Value Added Service (MVAS) companies that works between the carriers and the traditional media as a joint support station, for both main parties. Value added services (VAS) in telecom is considered as a new financial source to the cellular companies beside its classical work (e.g. phone calls or fax). This type of services found its way to TV & Radio stations through the benefits from the huge audience or followers they got. One of the main VAS services is the SMS service, in which all the previous three parties try to get their share from the revenue. The security of SMS information is an important issue, to prevent the fabrication or changing the information flows between parties. This paper suggest and provide digital signature security method as a new mechanism that guaranties the security services concerned with SMS flows between all companions. Providing the SMS with the needed authentication and integrity to the weakest point in the flow scheme, which are the TV stations. The target is to overcoming the security threats for all partners, taking 3G component under consideration as the main new technology implemented in Iraq and Iraqia-TV station is taken as example.

The power consumption is an essential issue for designers of mobile devices. Orthogonal Frequency Division Multiplexing (OFDM) suffers from its Peak – to – Average Power Ratio (PAPR) problem. The Discrete Fourier Transmission Spread OFDM (DFTS-OFDM) based on Single Carrier Frequency Division Multiple Access (SC-FDMA) has been widely adopted due to its lower peak-to-average power ratio (PAPR) of transmits signals compared with OFDM. There are three types of mapping in SCFDMA. These namely Localized FDMA (LFDMA), Distributed FDMA (DFDMA), and Interleaved FDMA (IFDMA). In this paper, we propose a modified SCFDMA. This is based on using Hadamard transform instead of Fast Fourier Transform (FFT). Utilizing LFDMA Mapping techniques this is proposed for uplink scenario of LTE. Simulation results show that the proposed scheme reduces PAPR compared to the conventional SCFDMA while the BER does not degraded.

In this paper, we made a comprehensive study to evaluate the performance of MIMO MCCDMA wireless communication system on video signal transmission. The 4-by-4multi antenna supported MCCDMA system incorporates various digital signal processing techniques such as Minimum mean square error (MMSE) , Zero-Forcing (ZF), Ordered successive interference cancellation (OSIC) and Lattice Reduction aided MMSE for transmitted signal detection and two-dimensional nonlinear Median filtering for noise reduction. It is observable from MATLAB based simulations that the system shows quite satisfactory performance under scenario of MMSE signal detection scheme.