Throughput Maximization of Network-Coded and Multi-Level Cache-Enabled Heterogeneous Network

One of the paramount advantages multi-level cache-enabled (MLCE) networks is pushing contents proximity to network edge and proactively caching them at multiple transmitters (i.e., small base-stations (SBSs), unmanned aerial vehicles (UAVs), device-to-device (CE-D2D) users). As such, fronthaul congestion between a core large number alleviated. We consider throughput maximization problem that optimizes jointly network-coded user scheduling power allocation, subject capacity, transmit power, NC constraints. Given intractability problem, we decouple it into two separate subproblems. In first subproblem, for given while in second use resulting schedule optimize levels. design an innovative two-layered rate-aware (RA-IDNC) graph solve subproblem using iterative function evaluation (IFE) approach. Simulation results are presented depict gain proposed approach over existing solutions.