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

• Published in: IEEE transactions on vehicular technology Vol. 70; no. 10; pp. 11039 - 11043
• Main Authors: Al-Abiad, Mohammed S., Hassan, Md. Zoheb, Hossain, Md. Jahangir
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cache-enabled networks; Design optimization; file streaming; Interference; Maximization; multi-level caching; network coding; Optimization; power allocation; Power management; Resource management; Schedules; Scheduling; Signal to noise ratio; Throughput; Transmitters; Unmanned aerial vehicles
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2021.3106148

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.