FLEXIBLE SPECTRUM ALLOCATION FOR NEXT GENERATION DISTRIBUTED WIRELESS NETWORKS
Author
Offidani, Serena
Term
10. term
Publication year
2008
Abstract
Trådløse netværk går ind i en ny Next Generation (NextG) fase i takt med at tjenester, teknologi og regulering udvikler sig. Samtidig vokser efterspørgslen efter radiospektrum, det frekvensområde der bærer trådløse signaler. Det nuværende fordelingssystem tildeler frekvensbånd til bestemte tjenestekategorier for at undgå interferens, men nye tilgange kan udnytte spektret mere effektivt ved at kombinere flere bånd med smartere teknologier. To delingsprincipper er centrale: en underlay-tilgang (som ved ultra-wideband, UWB) og en overlay-tilgang (cognitive radio, CR). Cognitive radio kan måle hvilke frekvenser der er ledige, vælge en passende måde at sende på og holde interferens lav. Denne afhandling har til mål at balancere, hvordan det tildelte radiospektrum deles mellem flere enheder, der kan forstyrre hinanden i samme geografiske område. Den overvejer intelligente metoder til spektumbrug, herunder en FSU-algoritme baseret på SINR (signal-til-interferens-plus-støj-forhold) og en interferens-tærskel-tilgang. Derudover undersøges Spectrum Load Balancing inspireret af water-filling, som fordeler ressourcer mere jævnt. Målet er at understøtte distribueret Quality of Service (QoS) og forbedre spektrumeffektiviteten.
Wireless networks are entering a new Next Generation (NextG) phase as services, technology, and regulation evolve. At the same time, demand for radio spectrum—the range of frequencies that carry wireless signals—keeps growing. Although the current model assigns frequency bands to specific service categories to prevent interference, newer approaches can use the spectrum more efficiently by combining more bands with smarter technologies. Two main sharing ideas are relevant: an underlay approach (as in ultra-wideband, UWB) and an overlay approach (cognitive radio, CR). Cognitive radio can sense which frequencies are unused, choose an appropriate way to transmit, and keep interference low. This thesis aims to balance how the allocated radio spectrum is shared among multiple devices that may interfere with each other in the same geographical area. It considers intelligent methods for spectrum use, including an FSU algorithm based on SINR (signal-to-interference-plus-noise ratio) and an Interference Threshold approach. In addition, it explores Spectrum Load Balancing inspired by the water-filling idea, which distributes resources more evenly. The overall goal is to support distributed Quality of Service (QoS) and improve spectrum efficiency.
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