Paper Info
Title
The Achievable Capacity Scaling Laws Of 3d Cognitive Radio Networks
Abstract
The exploitation of spectrum opportunities in the dimension of height will bring another transmission degree of freedom for wireless networks. Besides, the modern wireless networks are deployed in the three dimensional (3D) space, which need cognitive radio technologies to enhance their performances. With these motivations, the capacity of 3D cognitive radio networks (CRNs) is addressed in this paper. Since there is one additional dimension of interference in 3D CRNs, the network protocols need to be designed to coordinate the interference and guarantee the connectivity of CRNs. Then the link capacity and routing density of 3D CRNs are investigated. Finally, we have derived the per-node capacity of primary network and secondary network respectively. We have verified that the path loss factor alpha has an impact on the capacity of 3D CRNs, namely, alpha = 3 is a watershed of capacity scaling laws. Besides, when alpha > 2.5, the capacity of 3D CRNs is higher than 2D CRNs with the same amount of nodes asymptotically. Therefore our results may provide an insight into the design of 3D cognitive radio networks.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511544
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
3D Cognitive Radio Networks, Capacity Scaling Laws, Height Dimension
Radio resource management,Wireless network,Computer science,Computer network,Path loss,Interference (wave propagation),Wireless ad hoc network,Law,Cognitive network,Communications protocol,Distributed computing,Cognitive radio
Conference
ISSN
Citations 
PageRank 
1550-3607
1
0.38
References 
Authors
7
6
Name
Order
Citations
PageRank
Zhiqing Wei110728.35
Zhiyong Feng2794167.21
Xin Yuan3185.37
Xinyu Feng444330.52
Qixun Zhang515728.59
Xin Wang640851.21