A Spectrum Pooling-based Algorithm in Spectrum Aggregation and Allocation
Peilun Feng, Jianzhao Zhang, Hangsheng Zhao, Renfu Liu, LI Da-li
Abstract
Open-access reader
Peilun Feng, Jianzhao Zhang, Hangsheng Zhao, Renfu Liu, LI Da-li
Abstract
Open-access reader
Most of existing spectrum allocation algorithms for cognitive radio network are based on continuous spectrum assignment and the user demands are not considered.For this reason, many small spectrum fragments that are smaller than the user demands are generated and these spectrum fragments can't be fully utilized which make a wasteful use of spectrum resources.A new spectrum aggregation and allocation algorithm based on spectrum pooling is proposed in this paper.The discontinuous small spectrum fragments could be aggregated to meet the user demands as much as possible to enhance the spectrum efficiency by using the new algorithm.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Most of existing spectrum allocation algorithms for cognitive radio network are based on continuous spectrum assignment and the user demands are not considered.For this reason, many small spectrum fragments that are smaller than the user demands are generated and these spectrum fragments can't be fully utilized which make a wasteful use of spectrum resources.A new spectrum aggregation and allocation algorithm based on spectrum pooling is proposed in this paper.The discontinuous small spectrum fragments could be aggregated to meet the user demands as much as possible to enhance the spectrum efficiency by using the new algorithm.
Key concepts: Cognitive radio, Frequency allocation, Spectrum (functional analysis), Computer science, Pooling, Algorithm, Spectrum management, Mathematical optimization