Evaluation Wireless Connection performance with respect to modulation scheme, transmitter power, effective interference and ECC threshold

Wireless communication has become more popular over the last decade. Although there are many advantages to use wireless over fixed line systems, there is a major disadvantage, which is a high transmission error rate in a temporal and permanent noisy environment. There are techniques to reduce effectiveness off transmission errors in wireless communications. We have discussed in this paper. Many methods and techniques have been implementing to deal and resist errors (by increasing transmission power, switching modulation scheme) as well as evaluation the wireless connection performance taking into account many factors.

Simulation and estimation for cooperative communication performance in wireless communication systems

Although Multi-Input-Multi-Output MIMO improve reliability of wireless transmission system and increase bit rate, but this improvement relay on higher cost in Hardware and increase in size as well as complex structure, so the cost-effective challenge still exists to implement these technique. Performance can be improved without increasing the cost significantly by using virtual MIMO systems where the spacing is achieved by using pre-existing devices within the network infrastructure, these systems called cooperative communication systems, which are the subject of this research. The simulation is based on standard software for modeling MATLAB and open sourced Network simulator-3 (NS-3) to characterize problems in wireless communications systems and propose appropriate solutions.

Studying the Effects of Bandwidth and Bit Error Rate on the OFDM Technique Using Fuzzy Logic

This work aims to analyze the performance of Orthogonal Frequency Division Multiplexing (OFDM) applied in the fourth generation mobile networks and WiFi. Fuzzy logic technique is used in this study to analyze the problem of OFDM, taking into consideration the modulation techniques applied in OFDM. Three input parameters in the fuzzy logic system are mainly considered: signal-to-noise ratio, the modulation degree and the number of sub-carriers. The output parameters are selected to be the bandwidth and bit error rate. This requires an analytical study to determine the optimal values of the input parameters used in this study. This means studying the membership of functions of each input and output parameter using fuzzy logic.