Cache-aided mobile edge computing for B5G wireless communication networks
Abstract This paper investigates a cache-aided mobile edge computing (MEC) network, where the source offloads the computation task to multiple destinations with computation capacity, with the help of a cache-aided relay. For the proposed cache-aided MEC networks, two destination selection criteria h...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-019-1612-0 |
| _version_ | 1811270788344446976 |
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| author | Junjuan Xia Chao Li Xiazhi Lai Shiwei Lai Fusheng Zhu Dan Deng Liseng Fan |
| author_facet | Junjuan Xia Chao Li Xiazhi Lai Shiwei Lai Fusheng Zhu Dan Deng Liseng Fan |
| author_sort | Junjuan Xia |
| collection | DOAJ |
| description | Abstract This paper investigates a cache-aided mobile edge computing (MEC) network, where the source offloads the computation task to multiple destinations with computation capacity, with the help of a cache-aided relay. For the proposed cache-aided MEC networks, two destination selection criteria have been proposed to maximize the computation capacity of the selected destination, the channel gain of relay link and the channel gain of direct link, respectively. Similarly, three destination selection criteria have been proposed for the cache-free MEC networks based on the computation capacities of destinations and the channel gains of transmission links, respectively. To evaluate the system performance regarding the latency constraint, we provide the outage probability for the proposed network which is defined based on the transmission-plus-computation time. Our analysis suggests that caching can significantly alleviate the impact of increasing the size of computation task, since only half of the transmission time of cache-free network is required. However, the cache-aided network can not fully exploit the signal from both direct and relay links, thus the improvement by caching is less significant in the high signal-to-noise ratio (SNR) region, compared with the cache-free network employing the destination with maximal channel gain of direct link. Numerical results are given to validate our analysis. |
| first_indexed | 2024-04-12T22:08:18Z |
| format | Article |
| id | doaj.art-2c264ccc8a0149e4b6bdf2d578632fce |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-04-12T22:08:18Z |
| publishDate | 2020-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-2c264ccc8a0149e4b6bdf2d578632fce2022-12-22T03:14:50ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-01-012020111010.1186/s13638-019-1612-0Cache-aided mobile edge computing for B5G wireless communication networksJunjuan Xia0Chao Li1Xiazhi Lai2Shiwei Lai3Fusheng Zhu4Dan Deng5Liseng Fan6The School of Computer Science, Guangzhou UniversityThe School of Computer Science, Guangzhou UniversityThe School of Electronics and Information Technology, Sun Yat-Sen UniversityThe School of Computer Science, Guangzhou UniversityGuangdong New Generation Communication and Network Innovative Institute (GDCNi)Guangzhou Panyu PolytechnicThe School of Computer Science, Guangzhou UniversityAbstract This paper investigates a cache-aided mobile edge computing (MEC) network, where the source offloads the computation task to multiple destinations with computation capacity, with the help of a cache-aided relay. For the proposed cache-aided MEC networks, two destination selection criteria have been proposed to maximize the computation capacity of the selected destination, the channel gain of relay link and the channel gain of direct link, respectively. Similarly, three destination selection criteria have been proposed for the cache-free MEC networks based on the computation capacities of destinations and the channel gains of transmission links, respectively. To evaluate the system performance regarding the latency constraint, we provide the outage probability for the proposed network which is defined based on the transmission-plus-computation time. Our analysis suggests that caching can significantly alleviate the impact of increasing the size of computation task, since only half of the transmission time of cache-free network is required. However, the cache-aided network can not fully exploit the signal from both direct and relay links, thus the improvement by caching is less significant in the high signal-to-noise ratio (SNR) region, compared with the cache-free network employing the destination with maximal channel gain of direct link. Numerical results are given to validate our analysis.https://doi.org/10.1186/s13638-019-1612-0CacheMECB5GOutage probabilityRelay |
| spellingShingle | Junjuan Xia Chao Li Xiazhi Lai Shiwei Lai Fusheng Zhu Dan Deng Liseng Fan Cache-aided mobile edge computing for B5G wireless communication networks EURASIP Journal on Wireless Communications and Networking Cache MEC B5G Outage probability Relay |
| title | Cache-aided mobile edge computing for B5G wireless communication networks |
| title_full | Cache-aided mobile edge computing for B5G wireless communication networks |
| title_fullStr | Cache-aided mobile edge computing for B5G wireless communication networks |
| title_full_unstemmed | Cache-aided mobile edge computing for B5G wireless communication networks |
| title_short | Cache-aided mobile edge computing for B5G wireless communication networks |
| title_sort | cache aided mobile edge computing for b5g wireless communication networks |
| topic | Cache MEC B5G Outage probability Relay |
| url | https://doi.org/10.1186/s13638-019-1612-0 |
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