Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (10): 3401-3409.doi: 10.13229/j.cnki.jdxbgxb.20231445

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Analysis of intelligent communication system with multi-UAVs based on SC/MRC

Hai-yan HUANG1(),Hong-sheng ZHANG1,Lin-lin LIANG2,Chun-li WANG1,Xue-jun ZHANG1   

  1. 1.School of Electronic and Information Engineering，Lanzhou Jiaotong University，Lanzhou 730070，China
    2.School of Cyber Science and Engineering，Xidian University，Xi’an 710071，China
  • Received:2023-12-26 Online:2025-10-01 Published:2026-02-03

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Abstract:

To address the issues of the increase in the number of communication devices and the co-channel interference existing in unmanned aerial vehicle （UAV） cooperative communication process， in this paper a multi-UAVs system with multi-channel co-channel interference is constructed. In this system， there is a direct link between the source node and the destination node， the destination employs either selection combining （SC） or maximal ratio combining （MRC） technology to integrate the signals transmitted from the source node and the optimal UAV relay. Considering the correlation between signal to interference plus noise ratio （SINR） caused by co-channel interferences， the precise expressions for the system outage probabilities with the SC strategy and MRC strategy separately under Nakagami-m fading channels are derived. To further discuss the impact of co-channel interference on the performance of the UAV communication system， the asymptotic outage probability of the system under high signal to noise ratio （SNR） is derived and analyzed in detail. The results show that due to the influence of co-channel interference， the system outage probability exhibits a saturation value in the high signal to noise ratio region； as the Nakagami-m fading parameter m increases， the system outage performance is significantly enhanced； with the increase in the number of UAVs， the system outage probability gains more diversity benefits before reaching the saturation value.

Key words: unmanned aerial vehicle communication, co-channel interference, selection combining, maximal ratio combining, outage probability

CLC Number: 

  • TN929.5

Fig.1

System model"

Fig.2

Relationship between system outage probability and γ"

Fig.3

Curve of system outage probability vearyingwith γ when mimber of co-channel interference at Ri and D varies"

Fig.4

Curve of system outage probability with respect to γ as m varies"

Fig.5

Curve of system outage probability during UAV flight"

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