Advanced Sleep Modes and their impact on flow-level performance of 5G networks

被引:0
|
作者
Salem, Fatma Ezzahra [1 ,2 ]
Gati, Azeddine [1 ]
Altman, Zwi [1 ]
Chahed, Tijani [2 ]
机构
[1] Orange Labs, Chatillon, France
[2] Telecom SudParis, Inst Mines Telecom, CNRS, UMR,SAMOVAR, Evry, France
来源
2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL) | 2017年
关键词
Energy Consumption; Advanced Sleep Modes; Throughput; Latency; Signaling periodicity;
D O I
暂无
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 concept of Advanced Sleep Modes (ASMs) corresponds to a gradual deactivation of the Base Station (BS)'s components in order to decrease the Energy Consumption (EC). We propose in this paper a strategy to implement the ASMs and to manage users whose service requests occur whilst the BS is sleeping. As the BS has to wake up periodically to send signaling bursts, we increase this periodicity in order to extend the sleep durations and hence maximize the energy gains. We study several scenarios with various traffic profiles and different periodicities of signaling bursts and quantify the outcomes of this solution, both in terms of EC reduction and quality perceived by the users (mainly throughput and latency). Our results show that high energy gains (up to 90%) can be obtained using ASMs, albeit some degradation in throughput (ranging from 3% to 19% in low loads depending on the signaling periodicity) and latency (less than 1ms for low periodicities and around 5ms for larger ones).
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Sleep-Scheduling and Joint Computation-Communication Resource Allocation in MEC Networks for 5G IIoT
    Zhu, Nengyu
    Xu, Xiaodong
    Han, Shujun
    Lv, Suyu
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [32] Channel estimation for advanced 5G/6G use cases on a vector digital signal processor
    Damjancevic S.A.
    Matus E.
    Utyansky D.
    Van Der Wolf P.
    Fettweis G.P.
    Damjancevic, Stefan A. (stefan.damjancevic@tu-dresden.de), 1600, Institute of Electrical and Electronics Engineers Inc. (02): : 265 - 277
  • [33] 5G QoS: Impact of Security Functions on Latency
    Gallemuller, Sebastian
    Naab, Johannes
    Adam, Iris
    Carle, Georg
    NOMS 2020 - PROCEEDINGS OF THE 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2020: MANAGEMENT IN THE AGE OF SOFTWARIZATION AND ARTIFICIAL INTELLIGENCE, 2020,
  • [34] Outdoor-to-Indoor Performance Analysis of a Commercial Deployment of 5G mmWave
    Rochman, Muhammad Iqbal
    Sathya, Vanlin
    Ghosh, Monisha
    2022 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2022, : 519 - 525
  • [35] A mechanism for 5G MIMO performance optimization and evaluation
    Tzanakos, Dimosthenis
    Allayiotis, Foivos
    Kokkinos, Vasileios
    Bouras, Christos
    PROCEEDINGS OF THE 2021 13TH IFIP WIRELESS AND MOBILE NETWORKING CONFERENCE (WMNC 2021), 2021, : 48 - 54
  • [36] Performance Analysis of Indoor 5G NR Systems
    Singh, Bikash Chandra
    Shetty, Sachin
    Chivate, Praneet
    Wright, David
    Alenberg, Alex
    Woodward, Peter
    2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2024, : 632 - 633
  • [37] PAPR Analysis of 5G and B5G Waveforms Using Advanced PAPR Algorithms
    Kumar, Arun
    Sharma, Himanshu
    Gaur, Nishant
    Gour, Nidhi
    IT PROFESSIONAL, 2024, 26 (04) : 17 - 21
  • [38] Performance Evaluation of 5G Wireless Network Slices Carrying Power Services
    Sun, Peng
    Lin, Hai
    Zhong, You
    Wu, Xiaoping
    Sun, Bing
    Zhao, Zhao
    2022 IEEE 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2022), 2022, : 114 - 120
  • [39] Non-Orthogonal Random Access for 5G Networks
    Liang, Yanan
    Li, Xu
    Zhang, Jiayi
    Ding, Zhiguo
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (07) : 4817 - 4831
  • [40] An Optimal Stopping Approach to Cell Selection in 5G Networks
    Wei, Ning
    Yue, Guangrong
    Zhang, Zhongpei
    IEEE ACCESS, 2019, 7 : 116094 - 116106