Development of a Database-Assisted Spectrum Access Scheme for Cognitive Radio Utilizing Radar Bands
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This report discusses the development of a database-assisted spectrum access scheme for cognitive radio utilizing radar bands. It covers the project background, objectives, distinctive activities, engineering knowledge and skills applied, technical difficulties and solutions, and project review.
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COMPETENCY DEMONSTRATION REPORT Career Episode 3
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CE 3.1 Project Information Name of the project:Development of a Database-Assisted Spectrum Access Scheme for Cognitive Radio Utilizing Radar Bands Location of the project:[Malaysia] Project Duration:[2016] Organization:International Islamic University Malaysia Role and Designation during the time:Communication Engineer CE 3.2 Project Background CE 3.2.1 Characteristics of the project I considered the scarcity of the spectrum in the field of the wireless communication system as the concerning sector that could be eliminated through my approach. Ideveloped the technique of spectrum access that uses both temporal and spatial spectrum opportunities. I combined the technique of the dynamic frequency selection and energy detector-based sensing scheme with database scheme. I compared and analyzed the performance of the spectrum developed using these techniques separately. I mathematically modeled the proposed schemes and implemented the simulation in the MATLAB. The delivered analysis results better detection performanceachievementinadditiontothehigherSNRvalues.Ialsofoundthatthe performance detection is higher in the Nakagami channel as compared with the Rayleigh channel as the fading severity has been higher in Rayleigh channel.
CE 3.2.2 Objectives developed for the project The major objectives for the development of this research was to develop the Hybrid Spectrum Access Technique through the application of both the temporal and spatial spectrum opportunities. I used the technique of combining the spectrum sensing with the geo-location database scheme. The performance of the proposed method is compared and analyzed with the different techniques separately. The objectives can be listed as following: To examine the energy detectors’ detection performance To establish the model that combines the sensing database and scheme. To examine the efficiency and performance of the model that was proposed. CE 3.2.3My particular work area Considering the leadership attribute, I was successful in establishing the scope and objectives of the project those were strictly followed for meeting the results of the project. As a learner, I performed the literature review, secondary data analysis that was very helpful and effective in clearing the concepts the direction that need to be followed in manner to meet the necessary objectives and goals of the project. I also developed a feasible methodology that I followed till the end of my research and gained positive outcome through reaching at the conclusion. I also developed and used the energy detection model under the fading channels and the AWGN channels. In the experimental sector, I also analysed the search radar noise limited model and determined the minimum required SNR. Thereafter, I moved towards the analysis of the interreference limited radar including then multiple secondary user and single secondary user.
CE 3.2.4 Project Group CE 3.2.5 My responsibilities throughout the project I was responsible for delivering all the theoretical and practical work in this experimental analysis. I had to make sure that the developed objectives met through the successful and proper delivery of the entire project. I was responsible for establishing regular communication with the supervisor and co supervisor for assuring that the project moves in a single direction. It was my responsibility to make sure that the literature review being made is based on the analysis of the peer-reviewed journals and the later experiments are related to the same context with my innovative additions. I considered the cost of the project as a major aspect considering its mass application among the targeted customers and hence, I managed to keep the budget of the project low as much possible.
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CE 3.3 Distinctive Activity CE 3.3.1 Comprehending the theory of the project In the coexistence approaches of all the primary secondary users, Interference to the primary system from Secondary system must be within the permissible ranges. WE also analyzed the first interference to Secondary devices of Radarfrom to the Radar and the analysis has been done for estimating the distance any secondary uses are restricted to perform the transmission. Moreover, the discussion of the interference from the Radar to Secondary devices has been done for assessing the effect on the achievable output as the function of the distance to the radar. I analyzed the performance and influence of the radar pulse signals those are of high-power over theWi-Finetwork’sthroughput.Firstly,Isimulatedtheenergydetector’sperformance thereafter, I also analyzed them in manner to record and collect results or the elements those are capable of influencing the detector’s performance. The SNR’s effect on the probability of the performance under the various detection platforms of the false alarm. In addition, CE 3.3.2 Engineering knowledge and skills applied in the project I used my theoretical knowledge gained during my course and performed the various mathematical calculations for calculating the various parameters those were necessary for the simulation and result finding. I used these calculations: I found the angle definitions: Very High-Gain (G>48dBi) High-Gain (22>G<48dBi) Medium-Gain (10<G<22dBi)
Equations for Very High-Gain Antennas (G>48dBi): Angular Interval (Degrees)Gain (dBi) 0 toM MtoR RtoB Bto Equations for High-Gain Antennas (22>G<48dBi): Angular Interval(Degrees)Gain(dBi)
0 toM MtoR RtoB Bto Equations for Medium -Gain Antennas (10<G<22dBi): Angular Interval (Degrees) Gain (dBi) 0 toM MtoR RtoB
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Bto Finally, considering these data, I extended my further calculation for identifying the achievable data rate for 802.11n specifications as: SNRData Rate (Mbps) 6.513 4.56.5 819.5 13.539 10.526 17.552 21.565 19.558.5 CE 3.3.3Technical difficulties and solutions The performance of the detector can be influenced by many parameters and so, I performed the simulation on the energy detector that helped in identifying the parameters those arecapableofinfluencingtheperformanceofthisdetector.Westudiedthedetector’s performance under AWGN for various SNR values. Additionally, we also discussed the effect of the detected pulses’ number on detection performance. CE 3.3.4 Plan to produce creative and innovative work I proposed an interference detection algorithm and run the simulations that was used in further calculations and the result findings. In addition to these simulations, I made sure that the otherfactorsshouldbeanalysedandhence,Ianalysedandsimulatedthescenariosof interference limited and the protection distance under the noise limited. The evidence was found that the distance of the protection reduces expressively when any information is possessed by the
secondary user regarding the rotation of the radar and the pattern of the radar antenna. It is because of the situation, when the secondary user do not have information about any Radar rotation, it needs to be assumed that any persistent determined gain; hence, the distance of separation would be constant. On other hand, when the information about rotation of the Radar is exploited, the gain of the Radar would vary consequently. Same as this, throughput enhances with information about the rotation of the Radar and its pattern of antenna. CE 3.3.5 Collaborative work The project would have never been completed without the guidance of the supervisor that helped me through providing the better guidance and clarifications on the ways through which I delivered the project successfully. I built a better relationship with the supervisor and he always responded me in better way whenever I needed some directions. Other than the supervisor, co- supervisor also helped me in understanding the valuable suggestions in the same work. CE 3.4 Project Review CE 3.4.1 Project Results I successfully analysed thedetection performance of energy detector simulation. I found that the detection performance under AWGN channel was better while compared to the fading channels such as Nakagami and Rayleigh. In addition to this result; finding that the Rayleigh fading channel detection performance is worse as compared to that of the Nakagami because of the Rayleigh environments’ high fading severity however, it was also identified that the fading severity has low parameters in the Nakagami parameter m, higher the parameter less severe is the fading effect. Moreover, analysis has been conducted on the protection distance of the search
Radar and resulting Wi-Fi throughput when any Wi-Fi network operates in the 2.7-2.9GHz frequency band allocated for the search Radars. CE 3.4.2My involvement in this project Implementing a Cognitive radio, (CR) will lead to development of a smart radio that allows configuration dynamically. This is a form of wireless communication. With the help of co-located transmitter and receiver, one can understand and sense the free communication channel and the channel already occupied. The aim of this project was to provide an access technique using spectrum that uses opportunities of both temporal and spatial spectrum. In this method, the sensing scheme based on energy detector and dynamic selection frequency are combined for achieving the database scheme. However, the technique can be analyzed and compared based on methods performance. While detecting the energy performance it is analyzed that better performance was achieved by using SNR values.