Paper Info
Title
Capacity bounds of finite secondary cognitive radio networks
Abstract
Though there are works that show the asymptotic capacity bounds in a wireless network considering interference constraints from all transmitting nodes, there are no such evaluation of capacity bounds for finite secondary cognitive radio networks where the primaries pose additional constraints. In this paper, we find the bounds for the maximum achievable capacity of a randomly deployed secondary cognitive radio network with finite number of nodes in the presence of primary users, i.e., in the underlay mode. Since solving the functional constrained optimization problem of maximizing the secondary network's capacity subject to other radio constraints is computationally complex, we derive analytical bounds for the solution. We also show how a pre-engineered deployment with the best possible pairings of transmitters and receivers can help attain the best possible system capacity. The bounds are based on the maximum signal to interference and noise ratio (SINR) of all transmitter-receiver pairs and their geometrical placement. The derived bounds provide an insight about the network's maximum and minimum achievable capacities since solving the optimization problem shows in-scalability both in time and search space dimensionality.
Year
DOI
Venue
2015
10.1109/ICCNC.2015.7069390
Computing, Networking and Communications
Keywords
DocType
Citations 
cognitive radio,optimisation,radio networks,radio receivers,radio transmitters,capacity bounds,finite secondary cognitive radio networks,functional constrained optimization problem,geometrical placement,primary users,search space dimensionality,secondary network capacity,signal to interference and noise ratio,transmitter-receiver pairs
Conference
1
PageRank 
References 
Authors
0.35
8
4
Name
Order
Citations
PageRank
Osama Abbas Al Tameemi110.35
Mainak Chatterjee21562175.84
Kevin A. Kwiat332044.19
Charles A. Kamhoua427642.52