Towards 5G: Context Aware Resource Allocation for Energy Saving

被引:0
|
作者
Muhammad Alam
Du Yang
Kazi Huq
Firooz Saghezchi
Shahid Mumtaz
Jonathan Rodriguez
机构
[1] University of Averio,Instituto de Telecomunicações
来源
Journal of Signal Processing Systems | 2016年 / 83卷
关键词
5G; Context information; Scheduling; Energy efficiency;
D O I
暂无
中图分类号
学科分类号
摘要
With the objective of providing high quality of service (QoS), 5G system will need to be context-aware that uses context information in a real-time mode depends on network, devices, applications, and the environment of users’. In order to continue enjoying the benefits provided by future technologies such as 5G, we need to find solutions for reducing energy consumption. One promising solution is taking advantage of the context information available in today’s networks. In this paper, we take a step towards 5G by utilizing context information in the scheduling process as conventional packet scheduling algorithms are mainly designed for increasing throughput but not for the energy saving. We investigate a Context Aware Scheduling (CAS) algorithm which considers the context information of users along with conventional metrics for scheduling. An information model of context awareness along with a context aware framework for resource management is also presented in this paper. CAS is simulated applying a system level simulator and the results obtained show that considerable amount of energy is saved by utilizing the context information compare to conventional scheduling algorithms.
引用
收藏
页码:279 / 291
页数:12
相关论文
共 50 条
  • [1] Towards 5G: Context Aware Resource Allocation for Energy Saving
    Alam, Muhammad
    Yang, Du
    Huq, Kazi
    Saghezchi, Firooz
    Mumtaz, Shahid
    Rodriguez, Jonathan
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2016, 83 (02): : 279 - 291
  • [2] Towards Context Aware Computations Offloading in 5G
    Reale, Anna
    Toth, Melinda
    Horvath, Zoltan
    11TH EUROPEAN CONFERENCE ON SOFTWARE ARCHITECTURE (ECSA 2017) - COMPANION VOLUME, 2017, : 94 - 97
  • [3] Profit-Aware Resource Allocation for 5G Sliced Networks
    Oladejo, Sunday O.
    Falowo, Olabisi E.
    2018 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2018, : 43 - 47
  • [4] Energy Oriented Resource Allocation in Heterogeneous 5G Networks
    Gao, Yuan
    Ao, Hong
    Feng, Zenghui
    Zhou, Weigui
    Hu, Su
    Huang, Yixuan
    Li, Xiangyang
    COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2019, 463 : 208 - 217
  • [5] Energy Efficient Resource Allocation for 5G Heterogeneous Networks
    Saeed, Arsalan
    Katranaras, Efstathios
    Zoha, Ahmed
    Imran, Ali
    Imran, Muhammad Ali
    Dianati, Mehrdad
    2015 IEEE 20TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELLING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2015, : 119 - 123
  • [6] Virtual code resource allocation for energy-aware MTC access over 5G systems
    Condoluci, M.
    Araniti, G.
    Dohler, M.
    Iera, A.
    Molinaro, A.
    AD HOC NETWORKS, 2016, 43 : 3 - 15
  • [7] A QoE-based Energy-aware Resource Allocation Solution for 5G Heterogeneous Networks
    Gonzalez, Claudia Carballo
    Pupo, Ernesto Fontes
    Bingol, Gulnaziye
    Floris, Alessandro
    Porcu, Simone
    Murroni, Maurizio
    Atzori, Luigi
    2024 16TH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE, QOMEX 2024, 2024, : 29 - 35
  • [8] Traffic-Aware Beam Selection and Resource Allocation for 5G NR
    Liu, Yu-Hsuan
    Lin, Kate Ching-Ju
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [9] Poster: Transport-Aware Resource Block Allocation in 5G Slicing
    Pinto, Andrea
    Bin Hassan, Tanzil
    Restuccia, Francesco
    Esposito, Flavio
    2024 IEEE 10TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT 2024, 2024, : 322 - 323
  • [10] Clustered Virtualized Network Functions Resource Allocation based on Context-Aware Grouping in 5G Edge Networks
    Song, Sooeun
    Lee, Changsung
    Cho, Hyoungjun
    Lim, Goeun
    Chung, Jong-Moon
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 19 (05) : 1072 - 1083