The Wireless communication Project Aim

In the recent few years to overcome the scarcity of spectrum in the system of wireless communication, CR or the technology of cognitive radio is proposed. Preventing the cognitive radio from adverse interference from the spectrum sensing is considered a significant issue and problem in the system of cognitive radio. Investigations and evaluation and performances of different techniques of spectrum sending for using wireless networks like Simuling and MATLAB.

Background of the Project of Wireless communication

Wireless communication is a need for the wireless communication of the spectrum. Spectrum regulator has adopted the policy of FSA or fixed spectrum access to support various wireless applications that assign different spectrums to dedicated users. Only the licensed or assigned users seem to have the right of using a certain spectrum, whether the licensed are using it or not. Unlicensed persons may use the spectrum when primary users not using the spectrum, as spectrum is a limited resource. The SU can capture the radio environment. This capability, called (CR) Cognitive Radio Technology. CRS focal point is the spectrum sensing, which enables them to sense and identify spectrum holes which are vacant and utilize them without adversely affecting other licensed users or CRs. In general, spectrum bands are the frequency bands which are not utilized by licensed users or have a specific interference within them.

The methods of sensing spectrum are classified as cooperative sending, detection of transmitter, and receiver detection methods.

Transmission detection spectrum Method: using sensing channel band to a primary receiver that transmitting information to a primary user.Transmission detection method. Further, two techniques are specific sensing of signal and bliding sensing. The methods of blind spectrum are based on the samples of signal power. Generally, this method has other types as well including detection of Eigenvalue and detection of Energy.

Energy Detection: In the channel band, the signal power is estimated where the fundamental transmission is compared with the threshold which is predefined. Advantages of energy detection: Low computational complexity, Implementation simplicity. Secondary users are aware of the information which is utilized within the primary transmission. For spectrum sensing energy, the only solution is concerned with identification. This technique has several drawbacks.

Signal specific sensing: Having prior knowledge of transmitted signals is known as signal specific sensing. Then the energy detection method, the signal specific sensing method, has more computation power. Main Advantages: signal specific sensing does not require prior knowledge of noise power as compared to energy detectors.

The signal specific methods have two more categories: Detection of matched filiter, detection of cyberstational feature.

Match filtering:  To detect communication signals, optimally is match filtering. Consumoption of high power, requirements fo perfect synchronization, significant gain of processing in short time are the main advantages while the knowledge concerned with the transmission is a drawback.

Cyclostationary feature detection: In many wireless communication signals, cyclostationary inherently present. Change periodically as a function of time; this means the statistical properties of the transmitted signals. To aid spectrum signals, the cyclostationary produced by modulation, coding or by intentionally incurred.

At least two techniques of spectrum sensing we will use in this project to carry out the performance of different methods such as pf or profitability detection, pf or false detection’s probability, and pm or probability of misdetection.

Project Objectives:

Obj 1: To study different types of spectrum sensing techniques were used in the cognitive network.

Obj2: Analysis and Design of at least two of spectrum sensing techniques.

 Obj 3: selected Spectrum techniques by using MATLAB software to implement Simulation models.

Obj4: on the selected spectrum techniques carry out system performances.

Project Deliverables

D1 Project planning report

D2 Literature Review of spectrum sensing techniques

D3 Mathematical model and system of spectrum sensing techniques

D4 Models of simulation for the implementation of the Spectrum sensing technique

D5 Evaluation of system performances

D6 Project report

D7 Poster

Project Workpackage

WP1 Literature Review      <Workpackage duration>

This investigation will base on different types of spectrum sensing techniques, including cyclostationary, Matched Filter, Energy detection. In this workpackage we will investigates different aspects of each technique such as model, mathematical analysis, pros and cons.

WP2 Mathematical Model and System  <Workpackage duration>

In spectrum sensing techniques, the system model will be able to address several issues and challenges such as sensing interface limit, channel uncertainty, and Noise uncertainty. We will formulate a mathematical model that describes each spectrum technique for implementation.

WP3 Design Simulation models for the spectrum technique

To stimulate the real-word scenario, the simulation model contains a complete signal chain. Channel model that simulates the effects of multipath fading scenario, the chain is starting from random data generation, modulation stage, pulse-shaping filter. Versus types of results that will be used later on in performance evaluation, will be produced by the model.

WP4 –Performance Evaluation

In terms of probability of detection, miss detection, and false alarms, the system performance of the selected spectrum sensing techniques would be evaluated. Different aspect techniques and stimulation and theoretical results versus comparison will make.

WP4-Project Report

The report includes an introduction, research background that includes past work in the report. Corresponding mathematical model and analysis are the design procedures of the spectrum sensing techniques. Simulation model made performance evaluation and evaluation would be presented.

WP5 Project poster

Project Milestones- Typically, the project can be evaluated and related to the work package as a reference for project progress is related to major Milestones. On the Gantt charge, millstones indicated.