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Multi-user relay selection method based on CSI prediction

A multi-user, user-based technology, applied in the direction of advanced technology, electrical components, climate sustainability, etc., to achieve high signal-to-interference-noise ratio, simple implementation, and guaranteed system performance

Inactive Publication Date: 2015-11-11
GUANGXI NORMAL UNIV
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Problems solved by technology

The existing multi-user relay selection methods, such as maximizing the sum of the minimum network rate, the sum of the user's reachability, and the sum of the user's receiving signal-to-noise ratio, are mostly based on the research of the signal-to-noise ratio, while ignoring the multi-user communication. channel interference, the existence of interference is a problem that cannot be underestimated in multi-user networks
In addition, the prediction of signal-to-noise ratio or signal-to-interference-noise ratio helps the system to overcome the influence of outdated CSI, but in the existing relay selection methods, only the relay selection method based on predicted signal-to-noise ratio is Relay selection method not reported

Method used

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  • Multi-user relay selection method based on CSI prediction

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Embodiment Construction

[0073] The system model of the multi-user relay selection method based on CSI prediction in the present invention consists of a user user set S user ={1,2,...,N user}, a destination node D and including N relay A DF (Decode-and-Forward, decoding and forwarding) relay node set S relay ={1,2,...,N relay}, without loss of generality, the destination node cannot receive the signal from the user due to being far apart or being blocked, and the channel is a Rayleigh channel.

[0074] [Relay option 1]:

[0075] (1) Calculate the predicted SINR of the link between user u and relay node i γ S I N u i , u = 1 , 2 , ... , N u s e r , i = ...

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Abstract

The invention discloses a multi-user relay selection method based on CSI prediction. The method comprises: solution 1, selecting relays for users according to a descending order of QoS requirements of user services, and selecting a relay node with the maximum predicated signal to interference plus noise ratio of the link from the user to each relay to perform data forwarding for the users; solution 2, minimizing the sum of mean values of communication interruption probabilities of all users under a specific energy limitation to perform power distribution, and measuring the signal to interference plus noise power ratio under the distributed power and then calculating the predicated signal to interference plus noise ratio, and selecting relays for users according to a descending order of QoS requirements of user services and selecting the relay node with maximum predicated signal to interference plus noise ratio of the link from the user to each relay to perform data forwarding for the users. The multi-user relay selection method of the invention effectively avoids the influence of outdated CSI to the system performance, and fully considers the interferences among users so as to be more close to the actual condition and further ensure the system performance. The multi-user relay selection method of the invention is simple in operation, few in calculating amount and relative high in precision.

Description

technical field [0001] The invention relates to the field of wireless cooperative communication, in particular to a multi-user relay selection method based on CSI prediction. Background technique [0002] Existing methods for multi-user relay selection and power allocation are generally based on outdated channel state information (CSI, ChannelStatusInformation), which may be significantly different from the CSI during relay forwarding. Existing multi-user relay selection methods, such as maximizing the sum of the minimum rate of the network, the sum of the user's reachability, and the sum of the user's receiving signal-to-noise ratio, are mostly based on the research of the signal-to-noise ratio, while ignoring the multi-user communication. The existence of interference is a problem that cannot be underestimated in multi-user networks. In addition, the prediction of signal-to-noise ratio or signal-to-interference-noise ratio helps the system to overcome the influence of out...

Claims

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Application Information

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IPC IPC(8): H04W40/22
CPCH04W40/22Y02D30/70
Inventor 覃彩玲肖琨
Owner GUANGXI NORMAL UNIV
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