Distributed compression forwarding system of multi-relay network under Gaussian source and design method

Abstract

The invention discloses a distributed compression forwarding system of a multi-relay network under a Gaussian source and a design method. A source sends a simulated Gaussian signal, performs distributed source coding at a relay node, and performs the digital transmission. Since the simulated signal is transmitted, the index for system performance evaluation is the signal-to-noise ratio. A theoretical analysis frame of the system is proposed in consideration that the sending power of each relay node is the same and all noises powers are the same under an additive Gaussian white noise channel, a rate-distortion function of the multi-relay network is established by use of the CEO theory, and the connection between a sensing network and a digital communication network is established in combination with a Shannon channel capacity theory. An optimal design theory method of the system is proposed, and the power distribution is performed between the sensing network and a communication network based on the signal-to-noise rate under a condition that the total power is limited, thereby enabling the signal-to-noise rate to achieve the maximum. The theoretical analysis and the simulation result show that the optimal compression forwarding system provided by the invention can provide better signal-to-noise ratio in comparison with an amplification forwarding system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a distributed compression and forwarding system and a design method of a multi-relay network under a Gaussian source. Background technique [0002] Wireless relay technology can effectively combat channel fading, expand wireless network coverage, increase system capacity, increase diversity gain, improve information reliability, and improve communication quality, and is widely used in various wireless communication systems. For example, satellite communication and microwave relay communication system are classic wireless relay communication systems. In mobile communication, the use of relay stations to expand signal coverage and improve system capacity has become a key technology in mobile communication systems. In addition, the popularity and wide application of wireless analog sensor networks in military reconnaissance, environmental monitoring, smar...

AI Technical Summary

Problems solved by technology

[0021] Regarding the CEO problem of distributed source coding in the simulated sensor network, only the rate-distortion area and code rate after the distributed compression coding of the relay are studied, and the transmission performance of the entire sensor communication network is not studied and designed.

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