Spectrum Decision Support Framework for Cognitive Radio Networks / (Record no. 616105)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04198nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,AKH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Naeem Akhtar, Ahmad |
| 9 (RLIN) | 133118 |
| 245 ## - TITLE STATEMENT | |
| Title | Spectrum Decision Support Framework for Cognitive Radio Networks / |
| Statement of responsibility, etc. | Ahmad Naeem Akhtar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xx, 98 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | The exponential increase of mobile devices and the wide availability of bandwidth-hungry<br/>applications have created an eruption in mobile data traffic. Such extraordinary evolution<br/>in wireless data usage cause a severe capacity shortage in wireless mobile networks and<br/>presents substantial challenges to cellular operators and telecommunication regulatory authorities.<br/>Operators consider various technologies to improve their infrastructure, such as<br/>upgrading their entire network to LTE, taking advantage of existing available spectrum, or<br/>leveraging new spectrum opportunities such as the newly vacated TV band. However, such<br/>network designs do not facilitate robustness in spectrum usage. Cognitive Radio Network offers<br/>a capable solution for assuaging this problem. In mobile networks, the wireless spectrum<br/>bands are also used by the secondary users in the absence of the licensed users. Spectrum<br/>decision is to be performed by secondary users while catering for the inconsistent behavior<br/>of fluctuating nature of spectrum slots and diverse service requirements of various wireless<br/>applications, secondary users have to adopt, aiming at optimizing the transmission performance<br/>of SUs. A SU has to sense multiple target spectrum slots in the shortest possible<br/>time before deciding to select and occupy the most suitable to its QoS requirements idle<br/>slot for its transmission. Spectrum decision process selects the most suited slot from these<br/>available slots for opportunistic use by secondary users. A support framework for CRNs has<br/>been proposed, which is called Spectrum decision Support Framework (SDSF). SDSF offers<br/>an intelligent spectrum decision scheme that first senses the idle slots and then enables<br/>SUs to swiftly occupy them effectively. SDSF integrates various spectrum decision techniques<br/>and takes into account various spectrum slot characterization parameters. A scientific<br/>support framework has been developed for SUs in the CRN which includes spectrum slot viz-a-viz SUs’ QoS requirements, simulation evaluation duly validated by practical implementation.<br/>In this thesis, the proposed SDSF not only enables SUs to occupy the discretely<br/>time and frequency slotted channels in the entire wireless spectrum encompassing the spectrum<br/>bands of IEEE802.22, GSM, CDMA, LTE, IEEE802.11, Bluetooth, UWB and 5G, but<br/>also guarantees QoS requirements of SUs as per wireless service applications and ensures<br/>no interference with PUs. Initially the SDSF comprise of three wireless spectrum slot parameters;<br/>spectrum slot idle time, measured with the history of PUs’ access, spectrum slot<br/>possession by the PUs and the spectrum slot QoS. This scheme was validated by the achieved<br/>throughput of SUs at the end of its transmission. The achieved throughput leads to the logical<br/>architectural design of 5G services providing flexibility required to support efficiently<br/>a heterogeneous set of wireless services including Internet of Things traffic. The proposed<br/>SDFS guaranteed QoS requirements for these applications in terms of end-to-end latency,<br/>SUs’ mobility and no interference with PUs as well as with other SUs of CRN. An empirical<br/>SDSF for CRNs consisting of a signal generator, USRP2 and a network analyzer based on<br/>the sensing data achieved by a central SU from other (slave) SUs in the CRN has also been<br/>proposed. The results obtained validates that the proposed SDSF satisfies complementary<br/>receiver operating characteristics at various signal to noise ratio, end-to-end latency and the<br/>network congestion. The simulation results indicate the validity of the proposed schemes for<br/>spectrum decision for cognitive radio networks. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Fahim Arif |
| 9 (RLIN) | 132700 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 02/07/2026 | 621.382,AKH | MCSPhD EE-11 | 02/07/2026 | 02/07/2026 | Thesis | Almirah No.68, Shelf No.6 |