无人机辅助5G网络中基于合同的缓存租赁机制

doi:10.13190/j.jbupt.2019-133

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (3): 83-91.doi: 10.13190/j.jbupt.2019-133

无人机辅助5G网络中基于合同的缓存租赁机制

王敏, 张碧玲

1. 北京邮电大学网络教育学院, 北京 100876;
2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室, 西安 710071

收稿日期:2019-07-04 出版日期:2020-06-28 发布日期:2020-06-24
通讯作者: 张碧玲(1978-),女,副教授,硕士生导师,E-mail:bilingzhang@bupt.edu.cn. E-mail:bilingzhang@bupt.edu.cn
作者简介:王敏(1994-),女,硕士生.
基金资助:
国家自然科学基金项目（61501041）；综合业务网理论及关键技术国家重点实验室开放课题项目（ISN19-19）

Contract-Based Cache Renting Mechanism in UAV-Assisted 5G Networks

WANG Min, ZHANG Bi-ling

1. School of Network Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China

Received:2019-07-04 Online:2020-06-28 Published:2020-06-24
Supported by:

摘要/Abstract

摘要： 为了缓解回程链路的压力，移动网络运营商（MNO）在其宏基站（MBS）覆盖范围内的热点地区上方灵活部署具有缓存能力的无人机（UAVs）作为空中基站.此外，多个内容提供商（CPs）渴望租用MBS和UAVs的缓存空间以主动缓存其流行视频，从而降低订阅用户的服务时延.但每个CP租赁缓存空间的意愿程度是私有的，这导致MNO和CPs间的信息不对称.为了解决此问题，提出了基于合同理论的缓存资源租赁机制以最大化MNO的效用.理论上推导出了合同的可行条件，继而将目标优化问题放松为凸规划问题，采用KKT条件求得缓存租赁的最优合同.仿真结果验证了所提出的无人机辅助第5代移动通信系统（5G）网络缓存租用机制的有效性，并讨论了UAVs的飞行高度对系统性能的影响.

关键词: 无人机, 缓存租赁, 信息不对称, 合同理论, 5G网络

Abstract: To alleviate the load of the backhaul link, a mobile network operator (MNO) temporarily deploys cache-enabled unmanned aerial vehicles(UAVs) as aerial base stations to offload the traffic from a macro base station (MBS). While several content providers (CPs) desire to rent the cache space at both the MBS and UAVs to proactively place their popular videos so that their subscribers can receive low-latency services. However, the willingness for cache renting is privately for each (CP), resulting in asymmetric information between the MNO and CPs. To overcome this problem, the contract theory is exploited to formulate the cache renting problem and to maximize the utility of MNO. The feasible conditions for the contract are derived, and the target optimization problem is relaxed to the convex programming problem. Finally, the KKT condition is utilized to solve the optimal contract for the cache renting. Experiments validate the effectiveness of the proposed cache renting mechanism in UAV-assisted the 5th generation of mobile communications system(5G) networks, and the influence of UAVs' flight altitude on system performance is discussed.

Key words: unmanned aerial vehicles, cache renting, asymmetric information, contract theory, 5G networks

中图分类号:

TN911.22

王敏, 张碧玲. 无人机辅助5G网络中基于合同的缓存租赁机制[J]. 北京邮电大学学报, 2020, 43(3): 83-91.

WANG Min, ZHANG Bi-ling. Contract-Based Cache Renting Mechanism in UAV-Assisted 5G Networks[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 83-91.

参考文献

[1] Goian H S, Al-Jarrah O Y, Muhaidat S, et al. Popularity-based video caching techniques for cache-enabled networks:a survey[J]. IEEE Access, 2019, 7:27699-27719.
[2] 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.
[3] Le T H T, Tran N H, Vo P L, et al. Contract-based cache partitioning and pricing mechanism in wireless network slicing[C]//IEEE Global Communications Conference. Singapore:IEEE Press, 2017:1-6.
[4] Guo Yinghao, Duan Lingjie, Zhang Rui. Cooperative local caching under heterogeneous file preferences [J]. IEEE Transactions on Communications, 2017, 65(1):444-457.
[5] Lyu Jiangbin, Zeng Yong, Zhang Rui. UAV-aided offloading for cellular hotspot [J]. IEEE Transactions on Wireless Communications, 2018, 17(6):3988-4001.
[6] Masdung F, Septriani, Meiriza A, et al. Spatio-temporal analysis of south Sumatera hotspot distribution[C]//International Conference on Electrical Engineering and Computer Science. Palembang:IEEE Press, 2017:198-201.
[7] Zhang Yanru, Han Zhu. Contract theory for wireless networks [M].[S.l.]:Springer International Publishing, 2017:1-121.
[8] Li Jun, Chu Shunfeng, Shu Feng, et al. Contract-based small-cell caching for data disseminations in ultra-dense cellular networks[J]. IEEE Transactions on Mobile Computing, 2019, 18(5):1042-1053.
[9] Hamidouche K, Saad W, Debbah M. Breaking the economic barrier of caching in cellular networks:incentives and contracts[C]//IEEE Global Communications Conference. Washington:IEEE Press, 2016:1-6.
[10] Chu Shunfeng, Li Jun, Liu Tingting, et al. A contract-based incentive mechanism for data caching in ultra-dense small-cells networks[C]//IEEE Wireless Communications and Networking Conference. San Francisco:IEEE Press, 2017:1-6.
[11] Li Chenyu, Liu Jun, Ouyang Shuxin. Analysis and prediction of content popularity for online video service:a Youku case study[J]. China Communications, 2016, 13(12):216-233.
[12] Li Qiang, Zhang Yuanmei, Pandharipande A, et al. D2D-assisted caching on truncated Zipf distribution [J]. IEEE Access, 2019, 7:13411-13421.
[13] Duan Lingjie, Gao Lin, Huang Jianwei. Cooperative spectrum sharing:a contract-based approach[J]. IEEE Transactions on Mobile Computing, 2014, 13(1):174-187.

[1]	杨青青, 陈剑, 彭艺. 基于DDPG的无人机轨迹规划及功率控制算法[J]. 北京邮电大学学报, 2023, 46(3): 43-48.
[2]	林德平, 王亚祺, 钱荣荣, 彭涛, 王文博. 领导-跟随协同飞行无人网络的通信容量分析[J]. 北京邮电大学学报, 2023, 46(3): 97-102.
[3]	周理辉肖霖吴法辉杨鼎成王雅鹏. 无人机全双工双向中继的资源及轨迹优化设计[J]. 北京邮电大学学报, 2023, 46(1): 77-83.
[4]	李子能胡智群肖海林曾张帆. 基于智能反射面和协作干扰的无人机安全通信算法[J]. 北京邮电大学学报, 2023, 46(1): 69-76.
[5]	张天魁李亚楠沈鸿. 无人机蜂群通信的虚拟大规模MIMO信道估计算法[J]. 北京邮电大学学报, 2022, 45(6): 48-54.
[6]	蒋丽缪家辉郑镐谢正昊赖健鑫. 虚实映射误差条件下数字孪生辅助的无人机网络计算任务卸载及资源自适应优化机制[J]. 北京邮电大学学报, 2022, 45(6): 138-144.
[7]	刘金铭张玉艳张碧玲. 基于LSTM-KF的无人机航迹跟踪算法[J]. 北京邮电大学学报, 2022, 45(5): 121-128.
[8]	孙晶晶, 张治中, 邓炳光. A2G场景下三维宽带非平稳信道建模与分析[J]. 北京邮电大学学报, 2021, 44(5): 61-66.
[9]	汪萧萧, 淡振雷, 顾晨伟, 朱卫平, 林敏. 多天线无人机通信系统中的安全波束成形方案[J]. 北京邮电大学学报, 2020, 43(6): 103-109.
[10]	焦铭晗, 彭木根, 刘晨熙. 无人机网络的覆盖及切换性能研究[J]. 北京邮电大学学报, 2020, 43(6): 74-81.
[11]	刘志超, 赵宜升, 高锦程, 陈忠辉. 基于射频能量收集的无人机协助的分时段功率分配策略[J]. 北京邮电大学学报, 2020, 43(3): 24-31.
[12]	慕熹东, 郭莉, 董超, 林家儒. 一种基于无人机毫米波通信的波束选择方法[J]. 北京邮电大学学报, 2019, 42(3): 120-126.
[13]	张国敏, 王娜, 王睿, 陈秋丽, 刘方鑫. 基于访问密度的UAV三维移动模型[J]. 北京邮电大学学报, 2017, 40(s1): 112-116.
[14]	胡根生, 张学敏, 梁栋. 基于WWSVDD多分类的遥感图像病害松树识别[J]. 北京邮电大学学报, 2014, 37(2): 23-27.
[15]	林林, 孙其博, 王尚广, 杨放春. 多无人机协同航路规划研究[J]. 北京邮电大学学报, 2013, 36(5): 36-40.

无人机辅助5G网络中基于合同的缓存租赁机制

Contract-Based Cache Renting Mechanism in UAV-Assisted 5G Networks

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价