多无人机协作的认知通信网络中能/谱效折中优化

在无人机（Unmanned Aerial Vehicle,UAV）认知通信网络中，其能量受限和通信高吞吐量问题备受关注。然而，能量效率（Energy Efficiency,EE）的提升可能会导致频谱效率（Spectrum Efficiency,SE）的下降。针对此问题，对UAV协作认知通信网络中EE和SE的折中优化进行了研究。首先，进行了感知时间、UAV通信的发射功率和判决门限各自对SE与EE两者的优化；其次，通过二分法求解使得EE和SE最大化的感知时间值，并通过穷尽搜索法分别求解感知时间、UAV通信的发射功率和判决门限对EE和SE折中优化问题的最优参数值。在此基础上，提出一种联合参数迭代优化算法，求解EE和SE的折中优化问题。仿真实验表明，SE和EE之间存在折中的权衡，并验证了所提优化方案的有效性。

Energy-spectrum efficiency tradeoff optimization for multiple UAVs cooperative cognitive radio network

In unmanned aerial vehicle(UAV) cognitive radio network,the problems of energy limitation and high communication throughput have attracted much attention.However,the improvement of energy efficiency(EE) leads to the decrease of spectrum efficiency(SE).In order to solve this problem,the tradeoff between EE and SE for UAV cooperative cognitive radio network is investigated.Firstly,the sensing time,the transmission power of UAV communication and the decision threshold are optimized respectively for SE and EE.Secondly,the sensing time which maximizes the SE and EE is solved by the binary search,and the sensing time,the transmission power of UAV communication and the decision threshold are solved separately for EE and SE by the exhaustive search.On this basis,a joint parameter iterative algorithm is proposed to solve the optimization problem of tradeoff between SE and EE.Simulation results show that there is a tradeoff between SE and EE,and the effectiveness of the proposed optimization scheme is verified.