论文标题
智能反射表面辅助上行链路传输的延迟感知的多访问设计
Delay-aware Multiple Access Design for Intelligent Reflecting Surface Aided Uplink Transmission
论文作者
论文摘要
在本文中,我们通过合并IRS辅助的时间划分MA(I-TDMA)协议和IRS辅助的非正交MA(I-NOMA)协议来开发一种智能反射表面(IRS)帮助上行链路传输网络的混合多重访问(MA)协议。考虑了两种典型的通信方案,即发射功率有限的情况和发射能量有限的情况,如果设备的重新排列订单,时间和功率分配以及随时间推移的动态IRS光束图案进行了联合优化,以最大程度地减少总和传输延迟。为了阐明所提出的IRS辅助混合MA(I-HMA)方案比常规方案的优越性,通过表征其相应的最佳解决方案,I-HMA优于I-HMA胜过I-TDMA和I-NOMA的条件。然后,提出了一种计算有效的算法,以获得相应优化问题的高质量解决方案。仿真结果验证了我们的理论发现,证明了所提出的设计的优越性,并提出了一些有用的见解。具体而言,发现所提出的协议可以通过将动态IRS光束的额外增益与NOMA的高光谱效率相结合,从而显着减少总和传输延迟,从而表明将IRS整合到提出的HMA协议中是延迟意识到优化的有效解决方案。此外,它揭示了所提出的设计不仅从系统中心的视图中,而且从以设备为中心的视图中降低了时间消耗。
In this paper, we develop a hybrid multiple access (MA) protocol for an intelligent reflecting surface (IRS) aided uplink transmission network by incorporating the IRS-aided time-division MA (I-TDMA) protocol and the IRS-aided non-orthogonal MA (I-NOMA) protocol as special cases. Two typical communication scenarios, namely the transmit power limited case and the transmit energy limited case are considered, where the device's rearranged order, time and power allocation, as well as dynamic IRS beamforming patterns over time are jointly optimized to minimize the sum transmission delay. To shed light on the superiority of the proposed IRS-aided hybrid MA (I-HMA) protocol over conventional protocols, the conditions under which I-HMA outperforms I-TDMA and I-NOMA are revealed by characterizing their corresponding optimal solution. Then, a computationally efficient algorithm is proposed to obtain the high-quality solution to the corresponding optimization problems. Simulation results validate our theoretical findings, demonstrate the superiority of the proposed design, and draw some useful insights. Specifically, it is found that the proposed protocol can significantly reduce the sum transmission delay by combining the additional gain of dynamic IRS beamforming with the high spectral efficiency of NOMA, which thus reveals that integrating IRS into the proposed HMA protocol is an effective solution for delay-aware optimization. Furthermore, it reveals that the proposed design reduces the time consumption not only from the system-centric view, but also from the device-centric view.