Flexible Spectrum Allocation for Next Generation Distributed Wireless Networks
Author
Offidani, Serena
Term
10. term
Publication year
2008
Abstract
Ændringer i netværkstjenester, teknologi og regulering markerer en ny æra for netværksinnovation, kaldet Next Generation (NextG). Samtidig stiger efterspørgslen efter radiofrekvensspektrum, men flere frekvensbånd og nye teknologier gør en mere effektiv udnyttelse mulig. I dag tildeles spektret typisk som faste frekvensbånd til bestemte tjenestekategorier for at undgå interferens. For at muliggøre mere fleksibel deling bruges to hovedkoncepter: underlay-tilgangen (for eksempel ultra-bredbånd, UWB), hvor meget svage signaler kan sameksistere med eksisterende brugere, og overlay-tilgangen (kognitiv radio), hvor enheder sanser ledige frekvenser, tilpasser deres kommunikationsform og holder interferens på et minimum. Dette arbejde har til mål at fordele de tildelte radioressourcer retfærdigt mellem mange potentielt interfererende enheder i samme geografiske område. Det undersøger intelligente metoder, herunder en FSU-algoritme baseret på signal-til-interferens-plus-støj-forhold (SINR), en interferenstærskel-tilgang og Spectrum Load Balancing inspireret af vandfyldningsprincippet, som fordeler belastningen jævnt på tværs af frekvenser. Formålet er at understøtte distribueret Quality of Service (QoS) og dermed forbedre spektrumeffektiviteten.
Changes in network services, technology, and regulation are ushering in a new era of network innovation called Next Generation (NextG). At the same time, demand for the radio spectrum is growing, but the availability of more bands and new technologies makes more efficient use possible. Today, spectrum is typically licensed as fixed frequency bands for specific service categories to avoid interference. To enable more flexible sharing, two main concepts are used: the underlay approach (such as ultra-wideband, UWB), which allows very low-power signals to coexist with current users, and the overlay approach (cognitive radio), where devices sense which frequencies are free, adapt their communications, and keep interference to a minimum. This thesis aims to distribute allocated radio spectrum resources fairly among many potentially interfering devices operating in the same geographic area. It examines intelligent methods, including an FSU algorithm based on the signal-to-interference-plus-noise ratio (SINR), an interference threshold approach, and Spectrum Load Balancing inspired by the water-filling principle, which spreads load evenly across frequencies. The goal is to support distributed Quality of Service (QoS) and thereby improve spectrum efficiency.
[This summary has been rewritten with the help of AI based on the project's original abstract]
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