Probabilistic Caching for Small-Cell Networks With Terrestrial and Aerial Users

被引:21
作者
Song, Fei [1 ]
Li, Jun [1 ]
Ding, Ming [2 ]
Shi, Long [3 ]
Shu, Feng [1 ]
Tao, Meixia [4 ]
Chen, Wen [4 ]
Poor, H. Vincent [5 ]
机构
[1] Nanjing Univ Sci Technol, Sch Elect & Opt Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] CSIRO, Data61, Sydney, NSW 2015, Australia
[3] Singapore Univ Technol & Design, Sci & Math Cluster, Singapore 487372, Singapore
[4] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai Inst Adv Commun & Data Sci, Shanghai 200240, Peoples R China
[5] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Small-cell caching; successful download probability; UAV; optimization; stochastic geometry; PERFORMANCE IMPACT; SKY; LTE;
D O I
10.1109/TVT.2019.2929839
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The support for aerial users has become the focus of recent Third-Generation Partnership Project standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper, probabilistic caching is studied for ultradense small-cell networks with terrestrial and aerial users, where a dynamic on-off architecture is adopted under a sophisticated path loss model incorporating both line-of-sight and non-line-of-sight transmissions. Generally, this paper focuses on the successful download probability (SDP) of user equipments (UEs) from small-cell base stations (SBSs) that cache the requested files under various caching strategies. To be more specific, the SDP is first analyzed using stochastic geometry theory, by considering the distribution of such two-tier UEs and SBSs as homogeneous poisson point processes. Second, an optimized caching strategy (OCS) is proposed to maximize the average SDP. Third, the performance limits of the average SDP are developed for the popular caching strategy (PCS) and the uniform caching strategy (UCS). Finally, the impacts of the key parameters, such as the SBS density, the cache size, the exponent of Zipf distribution, and the height of aerial user, are investigated on the average SDP. The analytical results indicate that the UCS outperforms the PCS if the SBSs are sufficiently dense, while the PCS is better than the UCS if the exponent of Zipf distribution is large enough. Furthermore, the proposed OCS is superior to both the UCS and PCS.
引用
收藏
页码:9162 / 9177
页数:16
相关论文
共 38 条
[1]   Modeling Cellular-to-UAV Path-Loss for Suburban Environments [J].
Al-Hourani, Akram ;
Gomez, Karina .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (01) :82-85
[2]   A Tractable Approach to Coverage and Rate in Cellular Networks [J].
Andrews, Jeffrey G. ;
Baccelli, Francois ;
Ganti, Radha Krishna .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2011, 59 (11) :3122-3134
[3]  
[Anonymous], 2017, 36777 TR 3GPP
[4]  
[Anonymous], 2017, Cisco7 Feb.
[5]  
[Anonymous], 2017, RP170779 3GPP
[6]   Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications [J].
Anwar, Muhammad Zohaib ;
Kaleem, Zeeshan ;
Jamalipour, Abbas .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) :2526-2534
[7]  
Ashraf I, 2010, IEEE ICC
[8]   Cache-enabled small cell networks: modeling and tradeoffs [J].
Bastug, Ejder ;
Bennis, Mehdi ;
Kountouris, Marios ;
Debbah, Merouane .
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2015,
[9]  
Blaszczyszyn B, 2015, IEEE ICC, P3358, DOI 10.1109/ICC.2015.7248843
[10]   LEARN TO CACHE: MACHINE LEARNING FOR NETWORK EDGE CACHING IN THE BIG DATA ERA [J].
Chang, Zheng ;
Lei, Lei ;
Zhou, Zhenyu ;
Mao, Shiwen ;
Ristaniemi, Tapani .
IEEE WIRELESS COMMUNICATIONS, 2018, 25 (03) :28-35