Paper Info
Title
Energy allocation optimization for AF multi-hop in a cognitive radio system.
Abstract
In this paper, novel optimal energy allocation schemes for the secondary users in an amplify-and-forward multi-hop underlay cognitive network are proposed. The optimization problem is formulated as a maximization of the instantaneous received signal to noise ratio, under interference power constraints that are imposed to protect the primary network. First, a novel geometrical approach is proposed for the two and three hop cases. Simulations show that the proposed approach combined with adaptive modulation outperforms the cooperative cognitive system with uniform energy distribution. Then, a Lagrange-based analytical approach solution is proposed to the problem for the 2-hop case. Numerical results show that the Lagrangian resolution leads to the same results as the geometrical one. The advantage of the geometrical approach is to get more insight for the 2-hop case and makes the resolution tractable for more hops in the network.
Year
DOI
Venue
2018
10.1016/j.phycom.2017.10.016
Physical Communication
Keywords
Field
DocType
Cognitive network,Multi-hop,Amplify and forward,Adaptive modulation,Interference constraint,Resource allocation,Geometrical optimization,Lagrange multipliers
Link adaptation,Mathematical optimization,Lagrange multiplier,Computer science,Signal-to-noise ratio,Underlay,Optimization problem,Maximization,Cognitive radio,Cognitive network
Journal
Volume
ISSN
Citations 
26
1874-4907
0
PageRank 
References 
Authors
0.34
16
4
Name
Order
Citations
PageRank
Imen Sahnoun151.15
Inès Kammoun21614.53
Mohamed Siala37337.81
Ridha Hamila421446.80