TY - GEN
T1 - The study on spectrum/channel fragmentation from dynamic spectrum aggregation in CRNs
AU - Lee, Haeyoung
AU - Vahid, Seiamak
AU - Moessner, Klaus
PY - 2014
Y1 - 2014
N2 - We study the dynamic spectrum aggregation and allocation problem in cognitive radio networks (CRNs). When the available spectrum is fragmented and the bandwidth of the spectrum holes is narrow, spectrum aggregation can be a solution to use multiple holes. Since the spectrum holes can have different bandwidth and cognitive radios can dynamically adjust the centre frequency and the bandwidth for each transmission, the CRN has the high flexibility in spectrum use with aggregation. However, aggregation of fragmented spectrum can lead to channel fragmentation and further spectrum fragmentation. In this context, we formulate the dynamic spectrum aggregation problem considering practical hardware constraints whilst aiming to minimise spectrum/channel fragmentation. Then, we study the application of three well-known memory allocation techniques, to spectrum aggregation, and analyse the impacts of the spectrum aggregation on spectrum/channel fragmentation. Based on the analysis, we derive guidelines that govern the design of the efficient spectrum aggregation and allocation algorithms.
AB - We study the dynamic spectrum aggregation and allocation problem in cognitive radio networks (CRNs). When the available spectrum is fragmented and the bandwidth of the spectrum holes is narrow, spectrum aggregation can be a solution to use multiple holes. Since the spectrum holes can have different bandwidth and cognitive radios can dynamically adjust the centre frequency and the bandwidth for each transmission, the CRN has the high flexibility in spectrum use with aggregation. However, aggregation of fragmented spectrum can lead to channel fragmentation and further spectrum fragmentation. In this context, we formulate the dynamic spectrum aggregation problem considering practical hardware constraints whilst aiming to minimise spectrum/channel fragmentation. Then, we study the application of three well-known memory allocation techniques, to spectrum aggregation, and analyse the impacts of the spectrum aggregation on spectrum/channel fragmentation. Based on the analysis, we derive guidelines that govern the design of the efficient spectrum aggregation and allocation algorithms.
KW - Cognitive Radio Networks
KW - Spectrum Aggregation
KW - Spectrum Fragmentation
UR - http://www.scopus.com/inward/record.url?scp=84906972205&partnerID=8YFLogxK
U2 - 10.1109/EuCNC.2014.6882690
DO - 10.1109/EuCNC.2014.6882690
M3 - Conference contribution
AN - SCOPUS:84906972205
SN - 9781479952809
T3 - EuCNC 2014 - European Conference on Networks and Communications
BT - EuCNC 2014 - European Conference on Networks and Communications
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2014 European Conference on Networks and Communications, EuCNC 2014
Y2 - 23 June 2014 through 26 June 2014
ER -