Dynamic hierarchical collaborative caching scheme in ultra-dense networks

doi:10.19682/j.cnki.1005-8885.2021.0001

The Journal of China Universities of Posts and Telecommunications ›› 2021, Vol. 28 ›› Issue (1): 78-86.doi: 10.19682/j.cnki.1005-8885.2021.0001

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Dynamic hierarchical collaborative caching scheme in ultra-dense networks

Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2020-03-26 Revised:2020-08-11 Online:2021-02-28 Published:2021-03-28
Supported by:
This work was supported by the National Natural Science Foundation of China (61771070 and 61671088).

Abstract

Abstract:

Pushing popular contents to the edge of the network can meet the growing demand for data traffic, reduce latency and relieve the pressure of the backhaul. However, considering the limited storage space of the base stations, it is impossible to cache all the contents, especially in ultra-dense network ( UDN). Furthermore, the uneven distribution of mobile users results in load imbalance among small base stations (SBSs) in both time and space, which also affects the caching strategy. To overcome these shortcoming, the impact of the changing load imbalance in UDN was investigated, and then a dynamic hierarchical collaborative caching (DHCC) scheme was proposed to optimize latency and caching hit rate. The storage of the SBS is logically divided into the independent caching layer and the collaborative caching layer. The independent caching layer caches the most popular contents for local users爷interest, and the collaborative caching layer caches contents as much as possible for the benefit of content diversity in the region. Different SBSs have respective storage space layer division ratios, according to their real-time traffic load. For SBSs with heavy load, the independent caching layers are allocated with more space. Otherwise, the collaborative caching layers could store more contents with larger space. The simulation results show that, DHCC improved both transmission latency and hit rate compared with existing caching schemes.

Key words: ultra-dense network, load imbalance, caching

CLC Number:

G202

Chen Jianing, Li Xi, Ji Hong, Zhang Heli. Dynamic hierarchical collaborative caching scheme in ultra-dense networks[J]. The Journal of China Universities of Posts and Telecommunications, 2021, 28(1): 78-86.

References

1. Gao T M. Chen M Z, Gu H Z, et al. Reinforcement learning based resource allocation in cache-enabled small cell networks with mobile users. Proceedings of the 2017 IEEE/CIC International Conference on Communications in China (ICCC’17), 2017, Oct 22-24, Qingdao, China. Piscataway, NJ, USA: IEEE, 2017: 6p

2. Li J, Chu S F, Shu F, et al. Contract-based small-cell caching for data disseminations in ultra-dense cellular networks. IEEE Transactions on Mobile Computing, 2019, 18(5): 1042-1053.

3. Budhiraja L, Tyagi S, Tanwar S, et al. Cross layer NOMA interference mitigation for femtocell users in 5G environment. IEEE Transactions on Vehicular Technology, 2019, 68(5): 4721-4733

4. Parvez I, Rahmati A, Guvenc I, et al. A survey on low latency towards 5G: RAN, core network and caching solutions. IEEE Communications Surveys and Tutorials, 2018, 20(4): 3098-3130

5. Wang S, Zhang X, Zhang Y, et al. A survey on mobile edge networks: Convergence of computing, caching and communications. IEEE Access, 2017, 5: 6757-6779

6. Yen C T, Chien F T, Chang M K. Cooperative online caching in small cell networks with limited cache size and unknown content popularity. Proceedings of the 3rd International Conference on Computer and Communication Systems (ICCCS’18), 2018, Apr 27-30, Nagoya, Japan. Piscataway, NJ, USA: IEEE, 2018: 173-177

7. Zhang T, Xiao L, Chen H L. Caching cooperation with energy harvesting based small cells in heterogeneous networks. Proceedings of the 2016 IEEE International Conference on Communication Systems (ICCS’16), 2016, Dec 14-16, Shenzhen, China. Piscataway, NJ, USA: IEEE, 2016: 6p

8. Chen Y T, Yen C C, Lin Y T, et al. Cooperative caching plan of popular videos for mobile users by grouping preferences. Proceedings of the IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, 16th International Conference on Pervasive Intelligence and Computing, 4th International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech’18), 2018, Aug 12-15, Athens, Greece. Piscataway, NJ, USA: IEEE, 2018: 762-769

9. Kumar S, Franklin A A. Consolidated caching with cache splitting and trans-rating in mobile edge computing networks. Proceedings of the 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS’17), 2017, Dec 17-20, Bhubaneswar, India. Piscataway, NJ, USA: IEEE, 2017: 6p

10. Al-Habashna A, Wainer G, Boudreau G, et al. Distributed cached and segmented video download for video transmission in cellular network. Proceedings of the 2016 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS’16), 2016, Jul 24-27, Montreal, Canada. Piscataway, NJ, USA: IEEE, 2016: 8p

11. Dai J M, Zhang Z L, Liu D P. Proactive caching over cloud radio access network with user mobility and video segment popularity awared. IEEE Access, 2018, 6:. 44396-44405

12. Huang X N, Zhao G D, Chen Z. Segment-based random caching in device-to-device (D2D) caching networks. Proceedings of the 2015 International Symposium on Wireless Communication Systems (ISWCS’15), 2015, Aug 25-28, Brussels, Belgium. Piscataway, NJ, USA: IEEE, 2015: 731-735

13. Wang N, Shen G X, Bose S K, et al. Zone-based cooperative content caching and delivery for radio access network with mobile edge computing. IEEE Access, 2019, 7: 4031-4044

14. Zhang X, Zhu Q X. Collaborative hierarchical caching over 5G edge computing mobile wireless networks. Proceedings of the 2018 IEEE International Conference on Communications (ICC’18), 2018, May 20-24, Kansas City, MO, USA. Piscataway, NJ, USA: IEEE, 2018: 6p

15. Wu T H, Li X, Ji H, et al. An energy-efficient sleep management algorithm for UDN with edge caching. Proceedings of the 2017 IEEE Globecom Workshops (GC Wkshps’17), 2017, Dec 4-8, Singapore. Piscataway, NJ, USA: IEEE, 2017: 5p

16. Gao S, Li P, Pan Z W, et al. Machine learning based small cell cache strategy for ultra dense networks. Proceedings of the 9th International Conference on Wireless Communications and Signal Processing (WCSP’17), 2017, Oct 11-13, Nanjing, China. Piscataway, NJ, USA: IEEE, 2017: 6p

17. Wang N, Shao W D, Bose S K, et al. Mixco: Optimal cooperative caching for mobile edge computing in ﬁber-wireless access networks. Proceedings of the 2018 Optical Fiber Communications Conference and Exposition (OFC’18), 2018, Mar 11-15, San Diego, CA, USA. Washington, DC, USA: Optical Society of America, 2018: Th1B.6

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Dynamic hierarchical collaborative caching scheme in ultra-dense networks

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