无线回传网络中队列感知在线功率分配策略

Queue-aware online power allocation strategy in wireless backhaul networks

无线回传技术因其能大幅降低运营商成本开销、给用户终端提供根本上的灵活性并提高网络整体频谱效率等优势,是下一代移动网络中具有前景的解决方案之一。通过利用李雅普诺夫(Lyapunov)优化框架和凸优化理论,提出了一种基于队列感知的带内全双工无线回传网络功率分配算法。该算法在每个离散的资源调度时隙内,通过综合考虑信道和队列状态信息,动态地为各用户的接入链路和小基站的回传链路分配功率,以实现在保证网络稳定性和满足各用户服务质量需求的同时,最大化网络平均和频谱效率。此外,理论分析和仿真结果显示,所提出的算法可通过调整引入的控制参量的取值灵活地实现时延与谱效间的动态平衡。

Wireless backhaul technology is one of the promising solutions for next-generation mobile communication networks due to its merits of significantly reducing operator’s cost,providing user equipment(UE)with fundamental flexibility and improving the network overall spectrum efficiency.By leveraging the Lyapunov stochastic optimization framework and convex optimization theory,this paper proposes a queue-aware power allocation algorithm for in-band full-duplex wireless backhaul networks.Specifically,in each discrete resource scheduling time slot,the algorithm dynamically allocates power for each user’s downlink backhaul and access links by comprehensively taking channel state information(CSI)and queue state information(QSI)into consideration,so as to maximize the network average total spectrum efficiency(SE)while ensuring network stability and meeting the quality of service(QoS)requirements of users.In addition,the theoretical analysis and simulation results reveal that the proposed algorithm can flexibly strike a balance between SE and delay by simply tuning an introduced control parameter.