Cooperation congestion strategy method based on near-end gradient algorithm
A near-end gradient and strategy technology, applied in the field of wireless communication, can solve the problems of the number of relays, relay power, and ignoring interference signals, so as to reduce the total power consumption and improve the relay efficiency.
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[0027] Such as figure 1 As shown, a cooperative congestion strategy method based on the near-end gradient algorithm for wiretapping channel systems, such as figure 2 As shown, the eavesdropping channel system includes a source node S, a destination node D, an eavesdropping node E and n relay nodes R, and the core step is to obtain the optimal beamforming factor w opt It is used to adjust the weight of n relay nodes R transmitting interference signal z, and the ultimate goal is to increase the safety capacity R S-CJ , to get a local optimum.
[0028] Specifically include the following steps:
[0029] S1 When the source node S broadcasts a complex signal x to the destination node D, n relay nodes transmit an interference signal z with a beamforming factor w independent of the complex signal x, so as to confuse the signal received by the eavesdropper E , get the safety capacity R S-CJ , the beamforming factor is w=(w 1 ,w 2 ,...,w n ) T , also represents the weight facto...
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