1. POWER ALLOCATION FOR STATISTICAL QOS PROVISIONING IN
OPPORTUNISTIC MULTI-RELAY DF COGNITIVE NETWORKS
ABSTRACT:
We propose a power allocation scheme for statistical quality-of-service (QoS) provisioning in
multi-relay decode-and-forward (DF) cognitive networks (CN). By considering the direct link
between the source and destination, the CN first chooses the transmission mode (direct
transmission or relay transmission) based on the channel state information. Then, according to
the determined transmission mode, efficient power allocation will be performed under the given
QoS requirement, the average transmit and interference power constraints as well as the peak
interference constraint.
Our proposed power allocation scheme indicates that, in order to achieve the maximum
throughput, at most two relays can be involved for the transmission. Simulation results show that
our proposed scheme outperforms the max-min criterion and equal power allocation policy.
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