ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES
📄 Project Abstract
An important component of cognitive radio is spectrum sensing to detect the presence or absence of primary (licensed) user in the spectrum band of interest. However, the traditional static spectrum allocation strategies cause temporal and geographical holes of spectrum usage in licensed bands. Spectrum occupancy was categorized into completely free (white hole), partially free (grey hole) and fully occupied (black hole) in spectrum usage. Cognitive radio has a potential to improve spectrum utilization by opportunistically identifying and exploiting the available spectrum holes without causing harmful interference. One such detection method is the energy detection, used for this research, which is capable of sensing primary user transmitted energy signal. Furthermore, due to signal degradation caused by multipath fading and path loss, a single secondary user running the cognitive software on-board cannot accurately detect the presence of primary user and thus leads to missed detections....
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
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Full Citation:
MOHAMMED MIFTAHABDULLAHI. (). ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
MOHAMMED MIFTAHABDULLAHI. (). ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES. African and General Studies, 40, 14858.
MLA
MOHAMMED MIFTAHABDULLAHI. "ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
MOHAMMED MIFTAHABDULLAHI. "ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES." African and General Studies 40 (): 14858.
Full Citation:
MOHAMMED MIFTAHABDULLAHI. (). ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
MOHAMMED MIFTAHABDULLAHI. (). ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES. African and General Studies, 40, 14858.
MLA
MOHAMMED MIFTAHABDULLAHI. "ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
MOHAMMED MIFTAHABDULLAHI. "ESTIMATION OF DETECTION THRESHOLD FOR SPECTRUM SENSING IN COGNITIVE RADIO USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM AND MONTE CARLO TECHNIQUES." African and General Studies 40 (): 14858.
Document Details
| Author | MOHAMMED MIFTAHABDULLAHI |
|---|---|
| 📁 Field | Electrical And Computer Engineering Project Topics |
| 🏷️ Type | Engineering Project Topics |
| Pages | 175 Pages |
| Words | 32349 words |
| 📘 Chapters | 1 to 5 Chapters |