Dynamic Spectrum Allocation using Regional Spectrum Brokers
Abstract
Currently radio network resource is rigidly partitioned for dedicated purposes. Most of the spectrum is already allocated, but a large part of it is underutilized and the utilization varies greatly in time and space. The exclusive license of fixed size spectrum blocks separated by fixed guard bands easily solves the interference problems; however the fixed allocation of spectrum is clearly inadequate for providing optimal spectrum efficiency for spatially and temporarily varying loads. Dynamic spectrum allocation is a new and promising alternative to fixed allocation schemes. In Dynamic Spectrum Access (DSA) networks the assigned spectrum block may vary in time and space, too. We describe a new spectrum management model for Dynamic Spectrum Access (DSA) networks. We also propose an architecture that splits the complex problem into Temporal and Spatial Dynamic Spectrum Allocation (TDSA and SDSA). In our model Regional Spectrum Brokers (RSB) coordinate the temporal dynamic spectrum allocation for a given region within which we assume that the spatial distribution of the spectrum demand is homogeneous. To coordinate the spatial dynamic spectrum allocation between the neighboring regions, the Regional Spectrum Brokers need to communicate to take into account the overlapping regions. One solution is to deploy a centralized entity also, called Spectrum Broker Coordinator (SBC), which stores the spectrum demands of the regions, and the spectrum management at the borders of the regions is realized based on this information. A more robust and scalable solution is to build the network without the central SBC where the regional brokers communicate peer-to-peer and on demand. We propose algorithms for managing at the region-borders and brokering inside the regions and between the regions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2006
- Accession Number
- ADA478775
Entities
People
- Attila Vidacs
- Laszlo Kovacs
Organizations
- Budapest University of Technology and Economics