Information processing method of MIMO (Multiple Input Multiple Output) relay broadcast system

Abstract

The invention relates to an information processing method of an MIMO (Multiple Input Multiple Output) relay broadcast system in the technical field of wireless communication. In the information processing method, a base station sends a training sequence to a relay, and the relay carries out backward channel estimation processing to obtain an estimation channel and a channel estimation error variance between the base station and the relay; the relay sends the training sequence to a user, and the user carries out forward channel estimation processing to obtain an estimation channel and a channel estimation error variance between the relay and the user; the base station preprocesses a signal to be sent and sends the preprocessed signal to the relay; the relay carries out linear processing on the received signal to obtain a signal subject to the linear processing and sends the signal to the user; and the user detects the received signal to obtain information which is transmitted to the user by the base station. In the invention, a precise expression of a relay signal processing relay, the information processing complexity is greatly reduced, and the processing time is shortened. In addition, channel estimation error is taken into consideration, thereby the mean-square error and bit error rate performance of the system can be effectively improved.

Description

technical field [0001] The present invention relates to a method in the technical field of wireless communication, in particular to an information processing method for a MIMO (Multiple-Input Multiple-Output, multiple-input multiple-output) relay broadcast system. Background technique [0002] The relay technology in the mobile communication system can effectively expand the network coverage and improve the system capacity. -Advanced) standard adopted. At present, the relay methods mainly include DF (Decode-and-Forward, decoding-forwarding), AF (Amplify-and-Forward, amplification-forwarding), etc., among which the AF method has been widely studied due to its simple implementation and low complexity. In addition, base stations and relays can be equipped with multiple antennas, combined with MIMO technology to further improve system performance. In order to give full play to the advantages of diversity and spatial multiplexing of MIMO technology, it is necessary to further d...

AI Technical Summary

Problems solved by technology

In order to design an efficient processing method, the system must master the channel state information. In practice, the channel is obtained through training and estimation, so there are always errors, which affect the system performance.

[0003] After searching the existing literature, it was found that C.B.Chae, T.Tang, R.W.Heath, Jr, and S.Cho, "MIMO relaying with linear processing for multiuser transmission in fixed relay networks," IEEE Trans.SignalProcess., vol.56, no .2, pp.727-738, Feb.2008 ("Linear Processing Technology of MIMO Relay for Multi-User Communication in Fixed Relay Network," IEEE Journal of Signal Processing, Vol. 56, No. 2, Page: 727-738, 2008.2) , in this paper, the base station and the relay adopt zero-forcing dirty paper coding and linear processing respectively, and optimize the power allocation to maximize the system rate and sum, but the technical complexity is high, and the influence of channel estimation error is not considered

[0004] After searching, it was found that R.Zhang, C.C.Chai, and Y.C.Liang, "Joint beamforming and powercontrol for multiantenna relay broadcast channel with QoS constraints," IEEE Trans.SignalProcess., vol.57, no.2, pp.726-737 , Feb.2009 (“Joint Beamforming and Power Control for Quality of Service Requirements in Multi-antenna Relay Broadcast Channels,” IEEE Journal of Signal Processing, Vol. 57, No. 2, Pages: 726-737, 2009.2), the paper Joint optimization of beamforming and power allocation to meet the quality of service requirements of different users, but this technology does not give a Bi-style solution, the computational complexity is high, and the influence of channel estimation error is not considered, resulting in a large error

[0005] After retrieval, it was also found that G.Li, Y.Wang, T.Wu, and J.Huang, "Joint linear filter design in multi-user non-regenerative MIMO-relay systems," IEEE International Conference on Communications, 2009 ("Multi-user non-regenerative Joint Linear Filter Design in Regenerative MIMO Relay Systems," IEEE International Conference on Communications, 2009), this paper jointly designs the signal processing of the base station and the relay to minimize the mean square error of the detected signal, but the technique does not consider the channel estimation The effect of the error, so the mean square error and bit error rate performance of the system is very poor

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