Successful offloading probability analysis in device-to-device caching network based on stochastic geometry

doi:10.11772/j.issn.1001-9081.2019010141

Journal of Computer Applications ›› 2019, Vol. 39 ›› Issue (8): 2346-2353.DOI: 10.11772/j.issn.1001-9081.2019010141

• Network and communications • Previous Articles Next Articles

Successful offloading probability analysis in device-to-device caching network based on stochastic geometry

LONG Yanshan^1,2, FU Qinxue¹, GUO Jibin¹, ZHANG Mengqi³, CAI Yueming¹

1. College of Communications Engineering, Army Engineering University, Nanjing Jiangsu 210007, China;
2. 61416 Force, Beijing 100000, China;
3. Navy 91208 Force, Qingdao Shandong 266100, China

Received:2019-02-13 Revised:2019-03-21 Online:2019-08-10 Published:2019-04-17
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61671474), the Jiangsu Provincial Science Fundation for Excellent Young Scholars (BK20170089).

D2D缓存网络中基于随机几何的成功卸载概率分析

龙彦汕^1,2, 富勤学¹, 郭继斌¹, 张孟其³, 蔡跃明¹

1. 陆军工程大学通信工程学院, 南京 210007;
2. 61416部队, 北京 100000;
3. 海军 91208部队, 山东青岛 266100

通讯作者: 龙彦汕
作者简介:龙彦汕(1989-),女,山东荣成人,工程师,博士,主要研究方向:终端直传(D2D)缓存网络、随机几何、资源管理;富勤学(1980-),男,内蒙古乌兰察布人,博士研究生,主要研究方向:D2D缓存网络、资源管理;郭继斌(1973-),男,河北唐山人,讲师,硕士,主要研究方向:协同通信、资源分配;张孟其(1985-),男,河北邯郸人,硕士,主要研究方向:舰艇通信、海洋战略;蔡跃明(1961-),男,福建永泰人,教授,博士,主要研究方向:协同无线网络、信号处理。
基金资助:
国家自然科学基金资助项目（61671474）；江苏省优秀青年基金资助项目（BK20170089）。

Abstract

Abstract: In the Device-to-Device (D2D) caching network where mobile user terminals are all cache-enabled, the spatial distributions of all users were modeled as the Homogeneous Poisson Point Processes (HPPP). On this basis, combined with the randomness of content caching and requesting, the network interference was analyzed exactly and then approximately under specific scenarios. Considering that the D2D caching technique has the dual characteristics of both caching at terminals and D2D communications, which means that the content offloadeding includes self-offloading way and D2D-offloading way, and the content transmission has to meet the constraints of received Signal-to-Interference Ratio (SIR) and D2D maximal communication distance simultaneously, the closed-form expressions of Successful Offloading Probability (SOP) of the random D2D caching network was deducted. Simulation results show that the proposed SOP is a general metric and can be reduced to the special cases of existing research results. For example, when the users are distributed densely and the D2D maximal communication distance is relatively large, the SOP is reduced to the Successful Transmission Probability (STP) without considering the D2D distance constraint.

Key words: Device-to-Device (D2D) caching network, network interference, successful offloading probability, self-offloading, stochastic geometry

摘要： 针对所有移动用户均具有缓存能力的终端直传（D2D）缓存网络，将移动用户的位置分布建模为均匀泊松点过程（HPPP），并在此基础上结合内容缓存和内容请求的随机性，对网络干扰进行了精确分析和特定场景下的近似分析。考虑到D2D缓存技术融合了用户终端缓存与D2D通信的双重特点，即内容卸载包括自卸载和D2D卸载两种卸载方式、内容传输需要满足接收端信干比（SIR）和D2D距离的双重约束，利用随机几何理论推导出D2D缓存网络的成功卸载概率（SOP）的闭式表达式。仿真结果表明，结合D2D缓存网络特点的SOP更具有一般性，在特定场景下可以退化成已有研究中的特例。例如，在用户密集分布以及D2D最大通信距离较大的情况下SOP会退化成不考虑D2D距离约束的成功传输概率（STP）。

关键词: 终端直传缓存网络, 网络干扰, 成功卸载概率, 自卸载, 随机几何

CLC Number:

TN929.5

LONG Yanshan, FU Qinxue, GUO Jibin, ZHANG Mengqi, CAI Yueming. Successful offloading probability analysis in device-to-device caching network based on stochastic geometry[J]. Journal of Computer Applications, 2019, 39(8): 2346-2353.

龙彦汕, 富勤学, 郭继斌, 张孟其, 蔡跃明. D2D缓存网络中基于随机几何的成功卸载概率分析[J]. 计算机应用, 2019, 39(8): 2346-2353.

References

[1] HERBAUT N, NEGRU D, CHEN Y, et al. Content delivery networks as a virtual network function: a win-win ISP-CDN collaboration[C]// Proceedings of the 2016 IEEE Global Communications Conference. Piscataway, NJ: IEEE, 2016: 1-6.
[2] SHENG M, XU C, LIU J, et al. Enhancement for content delivery with proximity communications in caching enabled wireless networks: architecture and challenges[J]. IEEE Communications Magazine, 2016, 54(8): 70-76.
[3] WANG X, CHEN M, TALEB T, et al. Cache in the air: exploiting content caching and delivery techniques for 5G systems[J]. IEEE Communications Magazine, 2014, 52(2): 131-139.
[4] BASTUG E, BENNIS M, DEBBAH M. Living on the edge: the role of proactive caching in 5G wireless networks[J]. IEEE Communications Magazine, 2014, 52(8): 82-89.
[5] PERABATHINI B, BAŞTUĞ E, KOUNTOURIS M, et al. Caching at the edge: a green perspective for 5G networks[C]// Proceedings of the 2015 IEEE International Conference on Communication Workshop. Piscataway, NJ: IEEE, 2015: 2830-2835.
[6] LIU D, CHEN B, YANG C, et al. Caching at the wireless edge: design aspects, challenges, and future directions[J]. IEEE Communications Magazine, 2016, 54(9): 22-28.
[7] GOLREZAEI N, MOLISCH A F, DIMAKIS A G, et al. Femtocaching and device-to-device collaboration: a new architecture for wireless video distribution[J]. IEEE Communications Magazine, 2014, 51(4): 142-149.
[8] KANG H J, PARK K Y, CHO K, et al. Mobile caching policies for device-to-device (D2D) content delivery networking[C]// Proceedings of the 2014 IEEE Conference on Computer Communications Workshops. Piscataway, NJ:IEEE, 2014: 299-304.
[9] CUI Y, JIANG D, WU Y. Analysis and optimization of caching and multicasting in large-scale cache-enabled wireless networks[J]. IEEE Transactions on Wireless Communications, 2016, 15(7): 5101-5112.
[10] MALAK D, AL-SHALASH M. Optimal caching for device-to-device content distribution in 5G networks[C]// Proceedings of the 2014 IEEE Globecom Workshops. Piscataway, NJ:IEEE, 2014: 863-868.
[11] KRISHNAN S, DHILLON H S. Distributed caching in device-to-device networks: a stochastic geometry perspective[C]// Proceedings of the 2016 Asilomar Conference on Signals, Systems and Computers. Piscataway, NJ: IEEE, 2016:1280-1284.
[12] 龙彦汕,吴丹,蔡跃明,等.多缓存容量场景下的D2D内容缓存布设优化方案[J].计算机应用,2018,38(5):1453-1457. (LONG Y S, WU D, CAI Y M, et al. Cache placement optimization scheme in D2D networks with heterogeneous cache capacity[J]. Journal of Computer Applications, 2018, 38(5): 1453-1457.)
[13] BRESLAU L, CAO P, FAN L, et al. Web caching and Zipf-like distributions: evidence and implications[C]// Proceedings of the 1999 IEEE Conference on Computer Communications. Piscataway, NJ:IEEE, 1999: 126-134.
[14] CHEN Y, DING M, LI J, et al. Probabilistic small-cell caching: performance analysis and optimization[J]. IEEE Transactions on Vehicular Technology, 2017, 66(5): 4341-4354.
[15] XU X, YANG W, CAI Y, et al. On the secure spectral-energy efficiency tradeoff in random cognitive radio networks[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(10): 2706-2722.
[16] STOYAN D, KENDALL W S, MECKE J. Stochastic Geometry and Its Applications[M]. 2nd Edition. New York: John Wiley & Sons, 1996: 263-266.
[17] YU S M, KIM S L. Downlink capacity and base station density in cellular networks[C]// Proceedings of the 11th IEEE International Symposium on Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks. Piscataway, NJ:IEEE, 2013: 119-124.
[18] LONG Y, CAI Y, WU D, et al. Content-related energy efficiency analysis in cache-enabled device-to-device network[C]// Proceedings of the 8th IEEE International Conference on Wireless Communications & Signal Processing. Piscataway, NJ:IEEE, 2016: 1-5.
[19] ANDREWS J G, BACCELLI F, GANTI R K. A tractable approach to coverage and rate in cellular networks[J]. IEEE Transactions on Communications, 2011, 59(11): 3122-3134.
[20] DHILLON H S, GANTI R K, BACCELLI F, et al. Modeling and analysis of k-tier downlink heterogeneous cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(3): 550-560.

Successful offloading probability analysis in device-to-device caching network based on stochastic geometry

D2D缓存网络中基于随机几何的成功卸载概率分析

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics