Two Time-Scale Caching Placement and User Association in Dynamic Cellular Networks

With the rapid growth of data traffic in cellular networks, edge caching has become an emerging technology for offloading. We investigate placement and content delivery cache-enabling networks. To cope with time-varying popularity user location practical scenarios, we formulate a long-term joint dynamic optimization problem association minimizing delay which considers both transmission update delay. solve this challenging problem, decompose into two sub-problems, sub-problem short time scale long scale. Specifically, propose low complexity algorithm given Then develop deep deterministic policy gradient based involves time-scale decisions Finally, to obtain sub-optimal solution proposed problem. illustrate convergence performance by simulation results. Simulation results show that compared benchmark algorithms, reduces networks effectively.