Terahertz wireless backhaul is expected to meet the high-speed backhaul requirements of future ultra-dense networks using millimeter-wave (mmWave) base stations (BSs). In order to achieve higher network capacity with limited resources and meet the quality of service (QoS) requirements of more users in the integrated mmWave access and terahertz backhaul network, this paper formulates a problem of maximizing the number of users successfully served in both the access and backhaul links. Since the problem is a non-linear integer optimization problem, a minimum rate ratio user association and transmission scheduling algorithm is proposed to obtain a suboptimal solution. The proposed algorithm takes the minimum rate ratio as the user association criterion and schedules first the users with fewer backhaul transmission slots. In addition, the algorithm will update the number of access transmission slots allocated to users and the access scheduling results after the backhaul scheduling phase. Numerical results show that the proposed algorithm outperforms several benchmark algorithms in terms of the number of served users and system throughput, and it can cope with a large number of bursty user requests.

翻译：太赫兹无线回传有望满足未来使用毫米波基站的超密集网络的高速回传需求。为了在集成毫米波接入与太赫兹回传网络中利用有限资源实现更高网络容量，并满足更多用户的服务质量要求，本文提出一个最大化接入与回传链路中成功服务用户数的问题模型。由于该问题属于非线性整数优化问题，本文提出一种基于最小速率比的用户关联与传输调度算法以获取次优解。该算法以最小速率比作为用户关联准则，并优先调度回传传输时隙较少的用户。此外，算法在回传调度阶段结束后更新分配给用户的接入传输时隙数量及接入调度结果。数值结果表明，所提算法在服务用户数与系统吞吐量方面优于多种基准算法，并能有效应对突发性的大量用户请求。