论文标题
部分可观测时空混沌系统的无模型预测
Energy-Efficient Hybrid Offloading for Backscatter-Assisted Wirelessly Powered MEC with Reconfigurable Intelligent Surfaces
论文作者
论文摘要
我们研究了具有{可重新配置的智能表面（RIS）}的基于无线电源传递（WPT）基于反向散射的摩托车边缘计算（MEC）网络。在此网络中，无线设备（WDS）卸载任务位并收获能量，并且它们可以在反向散射（BC）和活跃的传输（在）模式下进行切换。我们利用RIS来最大化能源效率（EE）。为此，我们优化了时间/功率分配，本地计算频率，执行时间，反向散射系数和RIS相移。}这个目标导致与目标相互矛盾的多目标优化问题（MOOP）。因此，我们同时通过Tchebycheff方法最大化系统吞吐量并最大程度地减少能源消耗，从而转变为两个单目标优化问题（SOOPS）。对于吞吐量最大化，我们利用交替优化（AO）产生两个子问题。对于第一个，我们得出了封闭形式的资源分配。在第二个方面，我们通过半定义松弛，凸功能编程的差异，大分化最小化技术和罚款功能来设计RIS相移的差异。为了最小化能量，我们得出了封闭形式的资源分配。我们证明了几个基准的收益。例如，凭借$ 20 $元素的RI，EE可以高达3（MBITS/JOULE），比无RIS案例的150 \％提高（仅达到2（MBITS/JOULE））。
We investigate a wireless power transfer (WPT)-based backscatter-mobile edge computing (MEC) network with a {reconfigurable intelligent surface (RIS)}.In this network, wireless devices (WDs) offload task bits and harvest energy, and they can switch between backscatter communication (BC) and active transmission (AT) modes. We exploit the RIS to maximize energy efficiency (EE). To this end, we optimize the time/power allocations, local computing frequencies, execution times, backscattering coefficients, and RIS phase shifts.} This goal results in a multi-objective optimization problem (MOOP) with conflicting objectives. Thus, we simultaneously maximize system throughput and minimize energy consumption via the Tchebycheff method, transforming into two single-objective optimization problems (SOOPs). For throughput maximization, we exploit alternating optimization (AO) to yield two sub-problems. For the first one, we derive closed-form resource allocations. For the second one, we design the RIS phase shifts via semi-definite relaxation, a difference of convex functions programming, majorization minimization techniques, and a penalty function for enforcing a rank-one solution. For energy minimization, we derive closed-form resource allocations. We demonstrate the gains over several benchmarks. For instance, with a $20$-element RIS, EE can be as high as 3 (Mbits/Joule), a 150\% improvement over the no-RIS case (achieving only 2 (Mbits/Joule)).
