TY - GEN
T1 - A QoE-aware adaptive spectrum allocation framework for secondary mobile networks
AU - Cui, Liu
AU - Znati, Taieb
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Recent statistics show that mobile wireless broadband penetration has exceed that of fixed broadband, with 96.2% of the world’s population subscribing to wireless services and over 40% of US citizens carry smartphones. This trend is expected to continue in the future at much faster growth rates, and spectrum scarcity becomes a problem. Dynamic spectrum allocation has been proposed as a solution to improve spectrum efficiency and increase the spectrum access opportunities for wireless devices. However, the majority of the research focus on fixed usage. In this paper, we aim at providing high Quality of Experience for mobile devices, whose services cannot be finished within one coverage. We propose an adaptive spectrum allocation framework that optimizes spectrum utilization based on spectrum users’ hierarchy, requirements, as well as mobility. The simulation results show that the proposed adaptive spectrum allocation model lead to higher spectrum utilization efficiency, shorter average waiting time and lower probability of call dropping.
AB - Recent statistics show that mobile wireless broadband penetration has exceed that of fixed broadband, with 96.2% of the world’s population subscribing to wireless services and over 40% of US citizens carry smartphones. This trend is expected to continue in the future at much faster growth rates, and spectrum scarcity becomes a problem. Dynamic spectrum allocation has been proposed as a solution to improve spectrum efficiency and increase the spectrum access opportunities for wireless devices. However, the majority of the research focus on fixed usage. In this paper, we aim at providing high Quality of Experience for mobile devices, whose services cannot be finished within one coverage. We propose an adaptive spectrum allocation framework that optimizes spectrum utilization based on spectrum users’ hierarchy, requirements, as well as mobility. The simulation results show that the proposed adaptive spectrum allocation model lead to higher spectrum utilization efficiency, shorter average waiting time and lower probability of call dropping.
UR - http://www.scopus.com/inward/record.url?scp=84981298078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981298078&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-42836-9_13
DO - 10.1007/978-3-319-42836-9_13
M3 - Conference contribution
AN - SCOPUS:84981298078
SN - 9783319428352
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 139
EP - 148
BT - Wireless Algorithms, Systems, and Applications - 11th International Conference, WASA 2016, Proceedings
A2 - Challal, Yacine
A2 - Yang, Qing
A2 - Yu, Wei
PB - Springer Verlag
T2 - 11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016
Y2 - 8 August 2016 through 10 August 2016
ER -