混合频谱共享方式下多用户动态频谱分配算法

为解决混合overlay/underlay频谱共享方式下多用户动态频谱分配问题，构建了混合频谱共享方式下动态频谱分配模型，提出了基于Q学习的多用户动态频谱分配算法. 该算法在不对主用户产生有害干扰的前提下，以最大化次用户总吞吐量为目标，构建了与次用户相对应的虚拟次用户作为智能体. 通过与环境交互学习，进行信道和共享方式初选；频谱分配系统根据冲突情况和各智能体的学习结果调整信道分配策略直至次用户间无冲突. 仿真结果表明，该算法在无信道检测和信道先验知识的条件下，能根据前一时隙信道状态和次用户传输速率需求，实现动态信道分配和频谱共享方式确定，避免次用户间冲突，减少主次用户间冲突，有效提升次用户总吞吐量.

Multi-user dynamic spectrum allocation algorithm under hybrid spectrum sharing mode

To solve the problem of multi-user spectrum resource allocation under hybrid overlay/underlay spectrum sharing mode, a dynamic spectrum allocation model under hybrid spectrum sharing is constructed, and a multi-user dynamic spectrum allocation algorithm based on Q learning is proposed. Aiming at maximizing the total throughput of secondary users without causing harmful interference to primary users, the proposed algorithm establishes some virtual secondary users (SUs) corresponding to the actual SUs, and treats them as agents. Through interactive learning with the environment, channels and sharing patterns allocated to SUs are selected preliminarily. The channel allocation strategy is adjusted by spectrum allocation system according to the conflict states and the learn results of each agent until there is no conflict between SUs. Simulation results show that according to the channel states of the previous time slot and the transmission rate requirements of the SUs without any channel detection and prior knowledge of the channels, the dynamic channel allocation and spectrum sharing patterns can be determined. The proposed algorithm can also effectively avoid conflicts between SUs and reduce conflicts between primary users and SUs so that it effectively improves the total throughput of SUs.