Interference-Aware Secure Communication in Dense Access Scenarios

Abstract

Wireless access networks are dense, which means that there is severe co-channel interference and much more susceptible to eavesdropping, which deteriorates the reliability and secrecy of communications. The present paper presents an interference-aware secure communication scheme that optimized concurrently on transmission power, interference reduction, and secrecy capacity with the help of an optimization-based adaptive scheme. It develops a mathematical model of Signal-to-Interference-plus-Noise Ratio (SINR) and secrecy throughput and then a convex optimization-based transmission strategy is developed. The experimental simulation shows that the proposed framework can attain a secrecy rate of 4.21 ±0.18 bits/s/Hz, secure throughput of 33.7±1.2 Mbps and a success rate of 97.4 ± 0.6 packet success rate with high network density (200 users/km 2). The proposed model has a secrecy capacity that is 34.9% higher than conventional and NOMA-based schemes and secrecy outage probability is 58.6 times lower. The findings validate an increase in the ability to suppress interference and strong secure communication performance in crowded wireless environments. The given framework is a scalable solution to secure the IoT and next-generation wireless systems.