| 摘要: |
| 针对可疑用户通过时分多址（Time Division Multiple Access,TDMA）进行广播通信场景，提出了一种基于半双工机制的主动监听方案。在该方案中，合法监听器通过主动干扰某些可疑传输时隙，以诱导可疑用户在其他时隙增加发射功率，从而截获更多的可疑信息。为了实现这一目的，联合优化合法监听器的干扰功率分配和干扰集，以最大化总平均监听速率。面对构建的非凸优化问题，提出了一个两阶段的联合优化算法。在第一阶段，通过固定干扰集以优化干扰功率分配，而后运用连续凸近似和标准凸优化技术转化非凸问题并求解。在第二阶段，提出了一种低复杂度的启发式干扰集选择方法。仿真结果表明，提出的主动监听方案不仅具有较低的复杂度，且在干扰功率为26~45 dB时，获取的总平均监听速率显著优于其他基准方案。 |
| 关键词: 广播通信 主动监听 半双工 |
| DOI：10.20079/j.issn.1001-893x.240429002 |
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| 基金项目:国家自然科学基金资助项目（62071480） |
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| Design and Optimization of Proactive Eavesdropping Scheme Based on Half-duplex Mechanism |
| LIAO Jiacheng,ZHU Fengchao,HU Guoji |
| (School of Operational Security,Rocket Force University of Engineering,Xi揳n 710025,China) |
| Abstract: |
| A proactive eavesdropping scheme based on a half-duplex mechanism is proposed for the broadcast communication scenarios of suspicious users via time division multiple access(TDMA).In this scheme,the legitimate monitor intercepts more suspicious information by proactively jamming the certain suspicious transmission time slots,which induces the suspicious users to increase the transmission power in other time slots.In order to achieve this,an approach is taken to jointly optimize the jamming power allocation and jamming sets of legitimate monitor to maximize the total average eavesdropping rate.Given the constructed non-convex optimization problem,a two-stage joint optimization algorithm is proposed.In the first stage,the jamming power allocation is optimized by fixing the jamming sets,and then the non-convex problem is transformed and solved by applying successive convex approximation(SCA)and standard convex optimization techniques.In the second stage,a low-complexity heuristic jamming sets selection method is proposed.Simulation results show that the proposed proactive eavesdropping scheme not only has low complexity but also achieves a significantly better total average eavesdropping rate than other benchmark schemes when the jamming power is 26~45 dB. |
| Key words: broadcast communication proactive eavesdropping half-duplex |
