Design and Optimization of Agent-and-Forward System with Multi-Source and Multi-Relay

摘要

A novel agent-and-forward system with multi-source and multi-relay is designed. In this system, several identical sources transmit analog signals to relay nodes, the destination receives digital signals from relay nodes, so the direct links between the sources and destination are invalid. As a result, relays are used to receive analog signals, and carry on distributed coding to transmit them into digital signals. Subsequently, relays send the digital signals to the destination via wireless channel. Under the help of Chief Executive Officer (CEO) theory, the minimum information rate of multi-relay network is derived, and then a theoretical analysis framework is proposed from combining the minimum information rate and Shannon channel capacity. Finally, the power allocation is optimized under limited system power constraint. Simulation results show that the signal-to-noise ratio (SNR) performance of the proposed system will increase with the total system power and the number of the relay nodes. Moreover, when total system power is lower than 10W, the SNR performance of the proposed agent-and-forward system outperforms that of amplify-and-forward (AF) system in the case of the same total power or with the same number of relays.