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Mobile edge computing (MEC) has been regarded as a promising technique tosupport latencysensitivity and computation-intensive serves. However, the lowoffloading rate caused by the random channel fading characteristic becomes amajor bottleneck in restricting the performance of the MEC. Fortunately,reconfigurable intelligent surface (RIS) can alleviate this problem since itcan boost both the spectrum- and energy- efficiency. Different from theexisting works adopting either fully active or fully passive RIS, we propose anovel hybrid RIS in which reflecting units can flexibly switch between activeand passive modes. To achieve a tradeoff between the latency and energyconsumption, an optimization problem is formulated by minimizing the totalcost. In light of the intractability of the problem, we develop an alternatingoptimization-based iterative algorithm by combining the successive convexapproximation method, the variable substitution, and the singular valuedecomposition (SVD) to obtain sub-optimal solutions. Furthermore, in order togain more insight into the problem, we consider two special cases involving alatency minimization problem and an energy consumption minimization problem,and respectively analyze the tradeoff between the number of active and passiveunits. Simulation results verify that the proposed algorithm can achieveflexible mode switching and significantly outperforms existing algorithms.

Exploring Hybrid Active-Passive RIS-Aided MEC Systems: From the Mode-Switching Perspective