Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929482406821888 |
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| author | Zhang, Zhou Atapattu, Saman Wang, Yizhu Di Renzo, Marco |
| author_facet | Zhang, Zhou Atapattu, Saman Wang, Yizhu Di Renzo, Marco |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2409_00905 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach Zhang, Zhou Atapattu, Saman Wang, Yizhu Di Renzo, Marco Signal Processing 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. |
| title | Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2409.00905 |