An Asymptotically Compact Approximation Bit Error Rate Performance Analysis Method
An analysis method and bit error rate technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problems of bit error rate performance without quantitative analysis and theoretical basis, and without forwarding power
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Embodiment 1
[0033] see figure 1 , this embodiment introduces an asymptotically compact approach bit error rate performance analysis method, which compares and analyzes the bit error rate performance of the intelligent reflector-assisted communication system and the single-slot amplifying and forwarding multi-relay system. The analytical method comprises the steps of:
[0034] Step S1, constructing a model of the intelligent reflector-assisted communication system, and calculating the signal-to-noise ratio γ output by the maximum ratio combiner.
[0035] Wherein, the intelligent reflective surface auxiliary communication system model is composed of a source node, a destination node, and an intelligent reflective surface with N reflective units. The deterministic channel from the source node to the destination node is h s,d , the deterministic channel from the source node to the smart reflector is h s,r , the deterministic path from the smart reflector to the destination node is h r,d ,...
Embodiment 2
[0051] This embodiment introduces the relationship between the theoretical value and the simulation value of the asymptotically compact bit error rate (SER) of the system with direct link and the system without direct link in the intelligent reflective surface assisted communication system. see figure 2 , the Monte Carlo method is used, the maximum likelihood method is used at the destination node to detect the output signal of the maximum ratio combiner, and the system simulation adopts the QPSK modulation mode, that is, M=4, SNR=P / N 0 , and assuming N 0 =1, wherein, N=32,
[0052] Depend on figure 2 It can be seen that when the signal-to-noise ratio SNR is greater than 10dB, that is, under the condition of a low bit error rate, there is a good fitting effect between the theoretical value and the simulated value, thus proving that the derived asymptotically tight approximation bit error rate SER validity of the formula. As the signal-to-noise ratio increases, the bit ...
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