Abstract:
Next-generation mobile communication networks can provide high-speed and low-latency services by deploying small cell base stations (SBS) under a macro base station (MBS) and caching popular content at the SBSs.
This project examines edge computing content caching (CC) and user association (UA). CC and UA optimization reduces content download latency. We show that CC and UA optimization is NP-hard. To reduce content download latency, we propose a CC and UA algorithm (JCC-UA). JCC-UA has SCCP and DUA.
SCCP predicts content popularity using exponential smoothing and caches content accordingly. DUA uses rapid and delayed association methods. Simulations show that the JCC-UA algorithm reduces user content downloading latency and improves BS cache hit rates compared to baseline schemes.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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