[1] |
3GPP.Service requirements for the 5G system:TS 22.261[S]. 2018.
|
[2] |
3GPP.Telefónica 5G vision:RWS-150005[S]. 2015.
|
[3] |
肖子玉, 韩研, 马洪源 ,等. 5G网络面向垂直行业业务模型[J]. 电信科学, 2019,35(6): 132-140.
|
|
XIAO Z Y , HAN Y , MA H Y ,et al. Business service model of 5G network for vertical industry[J]. Telecommunications Science, 2019,35(6): 132-140.
|
[4] |
ITU-T. QoS aspects for popular services in mobile networks[R]. 2014.
|
[5] |
杨燕 . 浅谈移动通信网中的 QoE[J]. 电信科学, 2007,23(8): 34-38.
|
|
YANG Y . Simple analysis of QoE in mobile communication network[J]. Telecommunications Science, 2007,23(8): 34-38.
|
[6] |
3GPP.Key performance indicators (KPI) for evolved universal terrestrial radio access network:TS32.450[S]. 2018.
|
[7] |
3GPP.Study on key quality indicator (KQI) for service experience:TR32.862[S]. 2016.
|
[8] |
潘思宇, 张云勇, 张溶芳 ,等. 5G时代,人工智能为运营商赋能[J]. 电信科学, 2019,35(4): 95-102.
|
|
PAN S Y , ZHANG Y Y , ZHANG R F ,et al. Empowering MNO with AI in 5G era[J]. Telecommunications Science, 2019,35(4): 95-102.
|
[9] |
陈森, 陈超, 张小勇 ,等. 基于大数据分析的移动互联网用户感知评估系统[J]. 电信科学, 2015,31(4): 147-154.
|
|
CHEN S , CHEN C , ZHANG X Y ,et al. Evaluation system of mobile internet user experience based on big data analysis[J]. Telecommunications Science, 2015,31(4): 147-154.
|
[10] |
林浩凌, 吴奕生, 郑伟旭 ,等. 基于移动互联网应用的感知评估体系研究[J]. 电信科学, 2014,30(Z1): 1-5.
|
|
LIN H L , WU Y S , ZHENG W X ,et al. Research on perception evaluation system based on mobile internet application[J]. Telecommunications Science, 2014,30(Z1): 1-5.
|
[11] |
张平, 崔琪楣, 侯延昭 ,等. 移动大数据时代:无线网络的挑战与机遇[J]. 科学通报, 2015,60(5-6): 433-438.
|
|
ZHANG P , CUI Q M , HOU Y Z.et al . Opportunities and challenges of wireless networks in the era of mobile big data[J]. Chinese Science Bulletin, 2015,60(5-6): 433-438.
|
[12] |
3GPP.System architecture for the 5G system:TS23.501[S]. 2018.
|
[13] |
3GPP.Study on architecture for next generation system:TR23.799[S]. 2016.
|
[14] |
3GPP.Policy and charging control framework for the 5G system:TS23.503[S]. 2018.
|
[15] |
3GPP.NR and NG-RAN overall description:TS38.300[S]. 2018.
|
[16] |
EKSTROM H . QoS control in the 3GPP evolved packet system[J]. IEEE Communications Magazine, 2009,47(2): 76-83.
|
[17] |
AMEIGEIRAS P , WANG Y Y , NAVARRO-ORTIZ J ,et al. Traffic models impact on OFDMA scheduling design[J]. EURASIP Journal on Wireless Communications and Networking, 2012
|
[18] |
CUI W , SHEN K M , YU W . Spatial deep learning for wireless scheduling[J]. IEEE Journal on Selected Areas in Communications, 2019,37(6): 1248-1261.
|
[19] |
SUN H R , CHEN X Y , SHI Q J ,et al. Learning to optimize:training deep neural networks for wireless resource management[C]// Proceedings of IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications. Piscataway:IEEE Press, 2017: 1-6.
|
[20] |
SUN Y H , PENG M G , ZHOU Y C ,et al. Application of machine learning in wireless networks:key techniques and open issues[J]. IEEE Communications Surveys & Tutorials, 2019,21(4): 3072-3108.
|
[21] |
HAN S F , CHIHL I , LI G ,et al. Big data enabled mobile network design for 5G and beyond[J]. IEEE Communications Magazine, 2017,55(9): 150-157.
|
[22] |
IMRAN A , ZAHA A , ABU-DAYYA A . Challenges in 5G:how to empower SON with big data for enabling 5G[J]. IEEE Network, 2014,28(6): 27-33.
|
[23] |
KLAINE P V , IMRAN M A , ONIRETI O ,et al. A survey of machine learning techniques applied to self organizing cellular networks[J]. IEEE Communications Survey & Tutorials, 2017,19(4): 2392-2431.
|
[24] |
HUAWEI. The future of wireless network–AI inside[R]. 2018.
|
[25] |
3GPP.Study on server and network-assisted dynamic adaptive streaming over HTTP (DASH) (SAND) for 3GPP multimedia services:TR26.957[S]. 2017.
|
[26] |
3GPP.Study on context aware service delivery in RAN for LTE:TR36.933[S]. 2017.
|
[27] |
周一青, 李国杰 . 未来移动通信系统中的通信与计算融合[J]. 电信科学, 2018,34(3): 1-7.
|
|
ZHOU Y Q , LI G J . Convergence of communication and computing in future mobile communication systems[J]. Telecommunication Science, 2018,34(3): 1-7.
|
[28] |
ETSI. Mobile edge computing (MEC); service scenarios[R]. 2015.
|
[29] |
马洪源, 肖子玉, 卜忠贵 ,等. 5G边缘计算技术及应用展望[J]. 电信科学, 2019,35(6): 114-123.
|
|
MA H Y , XIAO Z Y , BU Z G ,et al. 5G edge computing technology and application prospects[J]. Telecommunication Science, 2019,35(6): 114-123.
|
[30] |
OYMAN O , SINGH S . Quality of experience for HTTP adaptive streaming services[J]. IEEE Communications Magazine, 2012,50(4): 20-27.
|
[31] |
XU Z Y , TANG J , YIN C X ,et al. Experience-driven congestion control:when multi-path TCP meets deep reinforcement learning[J]. IEEE Journal on Selected Areas in Communications, 2019,37(6): 1325-1335.
|
[32] |
SHI H Z , PRASADR V , ONUR E ,et al. Fairness in wireless networks:issues,measures and challenges[J]. IEEE Communications Surveys & Tutorials, 2014,16(1): 5-22.
|
[33] |
BADIA L , LINDSTROM M , ZANDER J ,et al. Demand and pricing effects on the radio resource allocation of multimedia communication systems[C]// Proceedings of 2003 IEEE Global Telecommunications Conference. Piscataway:IEEE Press, 2004: 4116-4121
|
[34] |
BADIA L , SATURNI C , BRUNETTA L ,et al. An optimization framework for radio resource management based on utility vs.price tradeoff in WCDMA systems[C]// Proceedings of Third International Symposium on Modeling and Optimization in Mobile,Ad Hoc,and Wireless Networks. Piscataway:IEEE Press, 2005: 404-412.
|
[35] |
王睿, 张克落 . 5G 网络切片综述[J]. 南京邮电大学学报, 2018,38(5): 19-27.
|
|
WANG R , ZHANG K L . Survey of 5G network slicing[J]. Journal of Nanjing University of Posts and Telecommunications, 2018,38(5): 19-27.
|
[36] |
LUONG N C , WANG , NIYATO D ,et al. Resource management in cloud networking using economic analysis and pricing models:a survey[J]. IEEE Communications Surveys & Tutorials, 2017,19(2): 954-1001.
|
[37] |
ZHANG Y , LEE C , NIYATO D ,et al. Auction approaches for resource allocation in wireless systems:a survey[J]. IEEE Communications Surveys & Tutorials, 2013,15(3): 1020-1041.
|