Xiao Qiao, Bi Zhicheng, Wang Chaofeng
School of Computer Science, University of South China, Hengyang 421001, China.
School of Electrical Engineering, University of South China, Hengyang 421001, China.
Sensors (Basel). 2024 Dec 26;25(1):68. doi: 10.3390/s25010068.
In exploiting large propagation delays in underwater acoustic (UWA) networks, the time-domain interference alignment (TDIA) mechanism aligns interference signals through delay-aware slot scheduling, creating additional idle time for improved transmission at the medium access control (MAC) layer. However, perfect alignment remains challenging due to arbitrary delays. This study enhances TDIA by incorporating power allocation into its transmission scheduling framework across the physical and MAC layers, following the cross-layer design principle. The proposed quasi-interference alignment (QIA) mechanism enables controlled interference on useful signals by jointly optimizing the transmission schedule and power. The formulated optimization problem to maximize network throughput is divided into two sub-problems: one for coarse slot scheduling and another for refining both scheduling and power allocation. The simulation results validate the QIA framework's superiority over the traditional TDIA and genetic algorithm benchmarks.
在利用水下声学（UWA）网络中的大传播延迟时，时域干扰对齐（TDIA）机制通过延迟感知时隙调度来对齐干扰信号，在介质访问控制（MAC）层创建额外的空闲时间以改善传输。然而，由于任意延迟，实现完美对齐仍然具有挑战性。本研究遵循跨层设计原则，通过将功率分配纳入其跨物理层和MAC层的传输调度框架来增强TDIA。所提出的准干扰对齐（QIA）机制通过联合优化传输调度和功率，对有用信号实现可控干扰。将用于最大化网络吞吐量的公式化优化问题分为两个子问题：一个用于粗时隙调度，另一个用于细化调度和功率分配。仿真结果验证了QIA框架相对于传统TDIA和遗传算法基准的优越性。
