Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach

TL;DR

This paper introduces a novel opportunistic probing and scheduling strategy for cache-aided wireless networks, significantly improving throughput by leveraging caching, cooperation, and time diversity through a dynamic decision framework.

Contribution

It presents a new RET-based strategy using SPD optimization for dynamic cooperative probing and scheduling in cache-aided networks.

Findings

Enhanced system throughput demonstrated in simulations

Effective exploitation of local caching and cooperative transmission

Practicality confirmed through simulation results

Abstract

This paper addresses the challenges of throughput optimization in wireless cache-aided cooperative networks. We propose an opportunistic cooperative probing and scheduling strategy for efficient content delivery. The strategy involves the base station probing the relaying channels and cache states of multiple cooperative nodes, thereby enabling opportunistic user scheduling for content delivery. Leveraging the theory of Sequentially Planned Decision (SPD) optimization, we dynamically formulate decisions on cooperative probing and stopping time. Our proposed Reward Expected Thresholds (RET)-based strategy optimizes opportunistic probing and scheduling. This approach significantly enhances system throughput by exploiting gains from local caching, cooperative transmission and time diversity. Simulations confirm the effectiveness and practicality of the proposed Media Access Control (MAC) strategy.