Status : Verified
| Personal Name | Vidal, Adrian R |
|---|---|
| Resource Title | Dynamic spectrum access protocol for community cellular networks |
| Date Issued | 18 July 2030 |
| Abstract | Due to low return of investment, several regions still have no access to cellular connectivity. Although advances in software-defined radio technology have lowered operation costs of installing base stations, the exclusive nature of spectrum licensing disallows transmissions of unaffiliated networks in licensed bands. To avoid interfering with primaries, secondaries must proactively detect transmissions from other networks and migrate to a vacant channel as necessary. In GSM, time-domain opportunities are rendered useless for secondary GSM networks due to idle transmissions. On the other hand, detecting frequency-domain opportunities through cyclostationarity feature detection, waveform-based sensing, and matched-filter detection are too computationally expensive for detecting GSM, which is the only radio access technology in its frequency band. Geolocation databases provide spectrum occupancy with low computational load, but may result in low frequency reuse. In this thesis, we present a dynamic spectrum access (DSA) protocol for community cellular networks operating over the GSM-900 band. Using IEEE 802.22 requirements for WRAN, we show that for a false alarm rate of 10%, downlink GSM signals as low as -80.1 dBm can be detected using energy detection with 90% probability. Under the same sensing requirements, broadcast control channels (BCCH) as low as -95 dBm using measurement reports from mobile handsets transmitted through the slow associated control channel (SACCH). Lastly, we study the effect of false alarm rates on frame erasure rates of traffic channels due to inter-timeslot handover. The sensing and error performance of the DSA protocol is evidence that licensed networks can be guaranteed of non-interference while unlicensed networks provide basic cellular communications in underserved communities. |
| Degree Course | MS Electrical Engineering |
| Language | English |
| Keyword | dynamic spectrum access, software defined radio, energy detection |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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