By allowing a large number of links to be simultaneously transmitted,
directional antenna arrays with beamforming have been envisioned as a promising
candidate to reach unprecedented levels of spatial isolation. To achieve the
high efficiency of spatial reuse in improving system performance, an
optimization problem that maximizes the achievable data rate of a multihop
heterogeneous network, which incorporates the concept of integrated access and
backhaul and supports both downlink and uplink transmissions on access and
backhaul links, is formulated. The optimization problem is then systematically
decomposed and demonstrated as NP-hard, and a heuristic joint scheduling and
resource allocation algorithm is proposed to maximize the achievable data rate.
In addition, an efficient dynamic routing algorithm is proposed to further
enhance the data rate. With extensive system-level simulations, it is
demonstrated that the proposed algorithms achieve significant gain over
benchmark schemes, in terms of data rate, and closely approach the theoretical
optimum, yet with lower latency. Besides, the proposed algorithms enable a
flexible adjustment of downlink and uplink transmission duration allocation and
support both half- and full-duplex modes with considerable performance
enhancement. In particular, the proposed algorithms are capable of fulfilling
different performance requirements for both point-to-point and
point-to-multipoint communications.

研究旨在达到更高的空间隔离水平，通过制定最大化多跳异构网络可达数据速率的优化问题，并提出一种启发式联合调度和资源分配算法来最大化可达数据速率，同时在数据速率上实现了显著收益。