期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 70, 期 10, 页码 11039-11043出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2021.3106148
关键词
Transmitters; Throughput; Resource management; Optimization; Interference; Signal to noise ratio; Schedules; Cache-enabled networks; file streaming; multi-level caching; network coding; power allocation
资金
- Natural Science and Engineering Research Council (NSERC), Canada
One of the main advantages of multi-level cache-enabled networks is pushing content proximity to the network edge and proactively caching them at multiple transmitters, reducing fronthaul congestion and optimizing throughput by jointly optimizing network-coded user scheduling and power allocation.
One of the paramount advantages of multi-level cache-enabled (MLCE) networks is pushing contents proximity to the network edge and proactively caching them at multiple transmitters (i.e., small base-stations (SBSs), unmanned aerial vehicles (UAVs), and cache-enabled device-to-device (CE-D2D) users). As such, the fronthaul congestion between a core network and a large number of transmitters is alleviated. We consider the throughput maximization problem that optimizes jointly the network-coded user scheduling and power allocation, subject to fronthaul capacity, transmit power, and NC constraints. Given the intractability of the problem, we decouple it into two separate subproblems. In the first subproblem, we consider the network-coded user scheduling problem for the given power allocation, while in the second subproblem, we use the NC resulting user schedule to optimize the power levels. We design an innovative two-layered rate-aware NC (RA-IDNC) graph to solve the first subproblem and solve the second subproblem using an iterative function evaluation (IFE) approach. Simulation results are presented to depict the throughput gain of the proposed approach over the existing solutions.
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