Network Coding-Based Socially-Aware Caching Strategy in D2D
By caching the most popular content into mobile devices, users can retrieve content directly from nearby devices through Device to Device (D2D) communications, which can significantly reduce backhaul traffic and improve network performance. Most existing D2D cache placement strategies are proactive...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8957465/ |
| _version_ | 1818578156788908032 |
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| author | Jun Cai Xiaoping Wu Yan Liu Jianzhen Luo Liping Liao |
| author_facet | Jun Cai Xiaoping Wu Yan Liu Jianzhen Luo Liping Liao |
| author_sort | Jun Cai |
| collection | DOAJ |
| description | By caching the most popular content into mobile devices, users can retrieve content directly from nearby devices through Device to Device (D2D) communications, which can significantly reduce backhaul traffic and improve network performance. Most existing D2D cache placement strategies are proactive approaches, which cannot deal with the problem of timely cache updating. In this paper, we propose a network coding-based socially-aware D2D caching strategy, which takes geographical proximity and the social relationships of users into consideration. First, a physical D2D network with high communication reliability is built according to the geographical proximity, composed of devices with high probability of communicating to each other through stable D2D communications. According to the social relationship between users within the physical D2D network, we partition the devices into communities and rank the devices within same community by their influence degree. Within a community, each caching decision is made independently according to the user-content contribution degree. To calculate the contribution degree, the impact between devices on requesting same content is modeled using an Indian Buffet Process. Devices cache coded blocks instead of the whole content to improve caching efficiency. Simulation results show that the proposed strategy achieves higher cache hit and sum rates compared to other schemes. |
| first_indexed | 2024-12-16T06:41:20Z |
| format | Article |
| id | doaj.art-7dddef00f2024885889224bead039975 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T06:41:20Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7dddef00f2024885889224bead0399752022-12-21T22:40:40ZengIEEEIEEE Access2169-35362020-01-018127841279510.1109/ACCESS.2020.29662898957465Network Coding-Based Socially-Aware Caching Strategy in D2DJun Cai0https://orcid.org/0000-0003-1695-483XXiaoping Wu1https://orcid.org/0000-0001-7022-4307Yan Liu2https://orcid.org/0000-0002-8257-2701Jianzhen Luo3https://orcid.org/0000-0002-5123-1306Liping Liao4https://orcid.org/0000-0002-1188-3123Guangdong Polytechnic Normal University, Guangzhou, ChinaGuangdong Polytechnic Normal University, Guangzhou, ChinaGuangdong Polytechnic Normal University, Guangzhou, ChinaGuangdong Polytechnic Normal University, Guangzhou, ChinaGuangdong Polytechnic Normal University, Guangzhou, ChinaBy caching the most popular content into mobile devices, users can retrieve content directly from nearby devices through Device to Device (D2D) communications, which can significantly reduce backhaul traffic and improve network performance. Most existing D2D cache placement strategies are proactive approaches, which cannot deal with the problem of timely cache updating. In this paper, we propose a network coding-based socially-aware D2D caching strategy, which takes geographical proximity and the social relationships of users into consideration. First, a physical D2D network with high communication reliability is built according to the geographical proximity, composed of devices with high probability of communicating to each other through stable D2D communications. According to the social relationship between users within the physical D2D network, we partition the devices into communities and rank the devices within same community by their influence degree. Within a community, each caching decision is made independently according to the user-content contribution degree. To calculate the contribution degree, the impact between devices on requesting same content is modeled using an Indian Buffet Process. Devices cache coded blocks instead of the whole content to improve caching efficiency. Simulation results show that the proposed strategy achieves higher cache hit and sum rates compared to other schemes.https://ieeexplore.ieee.org/document/8957465/D2Dcachingsocial communitynetwork codingIndian Buffet process |
| spellingShingle | Jun Cai Xiaoping Wu Yan Liu Jianzhen Luo Liping Liao Network Coding-Based Socially-Aware Caching Strategy in D2D IEEE Access D2D caching social community network coding Indian Buffet process |
| title | Network Coding-Based Socially-Aware Caching Strategy in D2D |
| title_full | Network Coding-Based Socially-Aware Caching Strategy in D2D |
| title_fullStr | Network Coding-Based Socially-Aware Caching Strategy in D2D |
| title_full_unstemmed | Network Coding-Based Socially-Aware Caching Strategy in D2D |
| title_short | Network Coding-Based Socially-Aware Caching Strategy in D2D |
| title_sort | network coding based socially aware caching strategy in d2d |
| topic | D2D caching social community network coding Indian Buffet process |
| url | https://ieeexplore.ieee.org/document/8957465/ |
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