Optimal Power Allocation in Multi-Hop Cognitive Radio Networks
Optimal power allocation in a multi-hop cognitive radio network is investigated. Information transmitted from the source passes through several wireless relay nodes before reaching the destination. At each hop, the received signal is decoded, re-encoded and retransmitted to the following node. Transmissions at every hop are overheard by nearby nodes and therefore cause interference. The authors study optimal power allocation strategies that maximize the end-to-end throughput of the network under the constraint of strictly limited interference to external users. They show that for networks that can be modeled as a line topology the optimal solution is achieved when the capacities of every intermediate link are equal and the interference power constraint is satisfied with equality.