Throughput Optimization of Secondary Link in Cognitive UAV Network
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摘要:
无人机(UAV)的便携性和高机动性使其与认知无线电(CR)结合的应用场景更加实用。在构建的无人机认知无线网络(CRN)模型中，该文提出UAV单弧度吞吐量优化方案，在确保检测概率的前提下优化感知弧度最大化UAV平均吞吐量。考虑在信道条件不理想情况下进一步改善感知性能，提出基于协作频谱感知(CSS)的多弧度吞吐量优化方案，利用交替迭代优化(AIO)算法对感知弧度和弧度数量进行联合优化以最大化吞吐量。仿真结果表明，该文提出的多弧度协作频谱感知方案在信道衰落严重时，对于主用户(PU)服务质量(QoS)和UAV吞吐量有明显提升。
Abstract:The application of Unmanned Air Vehicles (UAV)-enabled Cognitive Radio (CR) is widely used due to the convenience and high mobility of the UAV. In the UAV-based Cognitive Radio Network (CRN), the throughput optimization scheme in single radian is firstly investigated, in which the sensing radian is optimized to maximize the average throughput of UAV. Then, a multi-radian throughput optimization scheme based on Cooperative Spectrum Sensing (CSS) is studied to improve the sensing performance under the non-ideal channel, and the throughput of the UAV is maximized by utilizing an Alternative Iterative Optimization (AIO) algorithm. The simulation results show that the proposed scheme has better performance on improving the throughput of the UAV and ensuring the Quality-of-Service (QoS) of the Primary User (PU) when the channel fading is serious.
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Key words:
- Cognitive Radio (CR) /
- Unmanned Air Vehicle (UAV) /
- Spectrum Sensing (SS) /
- Frame structure /
- Throughput
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表 1 交替迭代优化算法
初始条件：$k = 0,i = 0,N = {N_i}$，误差精度为$\delta $； 1：while $\left| {{R_{\rm{A}}}({\beta _0}_{_k},{N_i}) - {R_{\rm{A}}}({\beta _0}_{_{k - 1}},{N_{^{i - 1}}})} \right| > \delta $ do 2： 利用二分法，求出$N = {N_{^i}}$时的最优弧度${\beta _0}^*$ 3： 令${\beta _0}_{_{^{k + 1}}} = {\beta _0}^*$ 4： 利用枚举法，求出${\beta _0}_{_{^{k + 1}}}$对应的最优数量${N^*}$ 5： 令${N_{^{i + 1}}} = {N^*}$ 6： 求出${R_{\rm{A}}}({\beta _0}_{_{^{k + 1}}},{N_{^{i + 1}}})$ 7： 令$k = k + 1,\;\;\;i = i + 1$ 8：end 输出：${\beta _0}^* = {\beta _0}_{_k},{N^*} = {N_{^i}}$ 
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表 2 仿真参数
参数 数值 参数 数值 参数 数值 ${R_{\rm{P}}}$(m) 320 $B$(rad) $\pi /3$ ${P_{\rm{r}}}(\mu = 1)$ 0.2 ${R_{\rm{S}}}$(m) 50 ${\omega _1}$ 9.6 ${L_{{\rm{LoS}}}}$ 3 $H$(m) 60 ${\omega _{\rm{2}}}$ 0.28 ${L_{{\rm{NLoS}}}}$ 10 $f$(kHz) 500 ${f_{\rm{s}}}$(kHz) 60 ${\bar P_{\rm{d}}}$ 0.9 ${P_{\rm{S}}}$(W) 10 ${P_{\rm{P}}}$(W) 10 ${\bar Q_{\rm{d}}}$ 0.9
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