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Patent

Joint Destination-Relay Selection and Antenna Mode Selection in Full-Duplex Relay Network

Yanan Tang, +3 more
- 01 Feb 2017 - 
- Vol. 11, Iss: 6, pp 2831-2847
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TLDR
In this article, the authors proposed a joint destination relay selection and antenna selection in a full duplex relay network, where the relay node, relay node and relay antenna selection operation steps are as follows: a source node calculates signal-to-noise ratio SNRs of direct transmission links from the SN to destination node DNs and selects the optimum DN according to the SNRs.
Abstract
The invention relates to joint destination relay selection and antenna selection in a full duplex relay network. In the relay network, the united destination node, relay node and relay antenna selection operation steps are as follows that (1), a source node SN calculates signal-to-noise ratio SNRs of direct transmission links from the SN to destination node DNs and selects the optimum DN according to the SNRs; and (2), two antennas exist at each RN, each antenna can work in a sending or receiving mode, the optimum DN feeds back channel state information from two antennas at each relay node to the optimum destination node to the RN, each RN obtains the channel state information from the SN to each antenna of the relay node, and on the basis of the received CSI, each RN calculates a signal-to-interference-plus-noise ratio SINR of a relay link when the two antennas of the relay node work in the sending/receiving or receiving/sending mode and selects the sending/receiving mode of the relay antenna according to the SINR of the relay link. According to the joint destination relay selection and antenna selection, the partial CSI is utilized, the system complexity is reduced, the optimum DN, the optimum RN and the antenna working mode are selected, and the system performance is improved.

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TL;DR: In this paper, a relay selection method applied to a cognitive hybrid duplex network is described, where the relay selection model in a cognitive relay network is built; then a minimum interference optimization model is built by aiming at minimizing the interference on a main user from a cognitive user on the condition of ensuring that the cognitive user can achieve communication, thus model description can be accurate.
References
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