MATLAB WIRELESS

The large development of wireless communications tends to frequency spectra scarcity and radio spectrum available is a small amount of natural resource and it is being crowded day by day.Matlab wireless projects are supported by our concern and the paper title is updated regularly from Springer journal.

Several wireless data solutions are listed below

• Public safety.
• Field service.
• Telemetry.
• Financial.
• Identification.

2015 IEEE MATLAB WIRELESS PROJECTS

• Reliability Analysis for Wireless Sensor Networks Considering Environmental Parameters Using MATLAB.
• Simulation & performance study of wireless sensor network (WSN) using MATLAB.
• OFDM, SC-FDMA AND MC-CDMA educational wireless transceivers using Matlab and the TMS320C6713 DSK.
• CDMA Based Wireless Transceiver System MATLAB Simulation and FPGA Implementation.
• Wireless infrared communication between two computers by MATLAB.
• COSMO: CO-Simulation with MATLAB and OMNeT++ for Indoor Wireless Networks.
• MATLAB based codesign framework for wireless broadband communication DSPs.
• Design of a wireless power transfer system for EV application based on finite element analysis and MATLAB simulation.
• A MATLAB toolbox synthesizing reconfigurable delta-sigma modulators for multi-standard wireless applications.
• Building cognitive radios in MATLAB Simulink — A step towards future wireless technology.
• Deployment of 5GHZ real-time simplex wireless SISO- and MISO-OFDM transmission using matlab and the TMS320C6713 DSKS.
• Matlab-based fem ¿¿ parabolic-equation tool for path-loss calculations along multi-mixed-terrain paths [wireless corner].
• An approach to localization scheme of wireless sensor networks based on artificial neural networks and Genetic Algorithms.
• On the extension of traditional resource allocation algorithms in LTE-A to joint UL-DL scheduling with FDD carrier aggregation.
• QoS-aware joint uplink-downlink scheduling in FDD LTE-Advanced with carrier aggregation.
  

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MATLAB WIRELESS PROJECTS

In the wireless system, the conversion of analog signal to digital signal is possible. The main strength that guides the interface is Shannon’s sampling theorem.The drawbacks in wireless communication system are maintaining quality of service, mobility, connectivity and cost efficiency, coverage.Broadcast services are supplied by satellite systems over large space and also it is important to cover gap among large-density user area MATLAB, wireless projects are provided for all B.Tech students by our concern.The required entities should be there for a WSN simulation model for a correct representation. It is used in the following fields.

• Industrial and civilian applications areas.
• Environment and habitat monitoring.
• Machine health monitoring.
• Industrial process monitoring.
• Traffic control.
• Home automation.
• Healthcare applications.

Matlab simulation is used in adhoc network routing with the help of Dijkstra’s algorithm.

Mobile devices gets internet from wireless broadband added to it network operators to expand their network above the limit of their wired connections. In geographical area all the base stations are connected and it is high-speed communication link for MTSO (Mobile Telephone Switching Office). Co-simulation of controller task execution in network transmissions, real time kernels and continuous plant dynamics is facilitated by true time. End-user gets many data to process from sensor networks. Sensor network has data aggregation and data fusion.