Joint Communication and Computation Design in Transmissive RMS Transceiver Enabled Multi-Tier Computing Networks

In this paper, a novel transmissive reconfigurable meta-surface (RMS) transceiver enabled multi-tier computing network architecture is proposed for improving capability, decreasing delay and reducing base station (BS) deployment cost, in which RMS equipped with feed antenna can be regarded as new type of multi-antenna system. We formulate total energy consumption minimization problem by joint optimization subcarrier allocation, task input bits, time slot transmit power allocation coefficient while taking into account the constraints communication resources resources. This formulated non-convex due to high coupling variables, NP-hard obtain its optimal solution. To address above challenging problems, block coordinate descent (BCD) technique employed decouple variables solve problem. Specifically, divided three subproblems applying BCD. Then, decoupled are optimized alternately using successive convex approximation (SCA) difference-convex (DC) programming until convergence achieved. Numerical results verify that our algorithm superior compared other benchmarks.