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Joint Power Allocation and Route Selection for
Outage Minimization in Multihop Cognitive Radio
Networks with Energy Harvesting
Avik Banerjee, Student Member, IEEE, Anal Paul, Student Member, IEEE, and Santi P. Maity, Member, IEEE
Abstract—This work explores joint power allocation and route
selection in a multi-hop cognitive radio network consisting of
secondary transmitter and receiver connected through decodeand-
forward relays. A novel frame structure of radio frequency
energy harvesting (EH)-cooperation-transmission is considered
that operates in time switching mode. The relays also help
(cooperation phase) in data transmission between the primary
transmitter and receiver using a fraction of the harvested energy.
An optimization problem is formulated to minimize the endto-
end secondary outage probability under the constraints of
energy causality and primary user cooperation rate. Closed form
expressions of the optimal time duration for EH and power
allocation factor on each relay are also derived. In order to
minimize the total power consumption (cost) and to enhance
the network lifetime, optimal route selection is also explored
using Bellman-Ford algorithm and the efficacy of the same
over Dijkstra’s algorithm is also demonstrated by a large set
of simulation results. Simulation results also show that a gain in
outage probability 47:9% and 55:73% is achieved for the
proposed approach when compared with the existing works
