Power Optimization and Throughput Enhancement in 6G Networks by Delay-Aware Resource Leverage

被引:0
|
作者
Mandelli, Silvio [1 ]
Lieto, Alessandro [1 ]
Weber, Andreas [1 ]
Wild, Thorsten [1 ]
机构
[1] Nokia Bell Labs, Stuttgart, Germany
来源
2021 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT (EUCNC/6G SUMMIT) | 2021年
关键词
Link Adaptation; Sub-networks; 6G; Power Optimization; Latency;
D O I
10.1109/EUCNC/6GSUMMIT51104.2021.9482470
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
While refining the specifics of the 5G wireless standards, the research community is already shifting its attention towards new 6G paradigms, like the "network of networks" topology. In that context, the sub-networks will be pivotal to support the advances of industrial internet of things or Industry 4.0, e.g. connecting an entire group of sensors and actuators of a robot. The unprecedented access points density in 6G sub-networks requires the design of schemes that can properly manage the interference. Targeting these high density scenarios, we describe the Power Optimization for Low Interference and Throughput Enhancement (POLITE) paradigm for link adaptation and power allocation which leverages all available radio resources to stabilize and reduce the interference. The baseline link adaptation schemes are compared with POLITE in their performance in a 3GPP-calibrated system level simulator for industrial scenarios. As services in industrial environments require high reliability under constrained delays, we propose delay-aware formulations in the POLITE design. In this work the emphasis is on the algorithmic implementation and performance assessment for generic delay requirements, leaving the investigation of extreme delay requirements for future work. Simulation results prove the benefits of POLITE in terms of increased throughput and delay satisfaction, with an overall reduced transmit power compared to the current baseline link adaptation schemes.
引用
收藏
页码:176 / 181
页数:6
相关论文
共 9 条
  • [1] Power Optimization for Low Interference and Throughput Enhancement for 5G and 6G systems
    Mandelli, Silvio
    Lieto, Alessandro
    Baracca, Paolo
    Weber, Andreas
    Wild, Thorsten
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2021,
  • [2] Power Optimization Model for Energy Sustainability in 6G Wireless Networks
    Taneja, Ashu
    Saluja, Nitin
    Taneja, Neeti
    Alqahtani, Ali
    Elmagzoub, M. A.
    Shaikh, Asadullah
    Koundal, Deepika
    SUSTAINABILITY, 2022, 14 (12)
  • [3] QoS-Aware Resource Management in 5G and 6G Cloud-Based Architectures with Priorities
    Louvros, Spiros
    Paraskevas, Michael
    Chrysikos, Theofilos
    INFORMATION, 2023, 14 (03)
  • [4] Power Allocation for 6G Sub-networks in Industrial Wireless Control
    Li, Dong
    Khosravirad, Saeed R.
    Tao, Tao
    Baracca, Paolo
    Wen, Pingping
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [5] Cost-Effective Power Management for Smart Homes: Innovative Scheduling Techniques and Integrating Battery Optimization in 6G Networks
    Al-Taie, Rana Riad
    Hesselbach, Xavier
    ELECTRONICS, 2024, 13 (21)
  • [6] Power Control for 6G In-Factory Subnetworks With Partial Channel Information Using Graph Neural Networks
    Abode, Daniel
    Adeogun, Ramoni
    Berardinelli, Gilberto
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 3120 - 3135
  • [7] Protocol design and resource allocation for power optimization using spectrum sharing for 5G networks
    Haneet Kour
    Rakesh Kumar Jha
    Sanjeev Jain
    Preetam Kumar
    Telecommunication Systems, 2019, 72 : 95 - 113
  • [8] Protocol design and resource allocation for power optimization using spectrum sharing for 5G networks
    Kour, Haneet
    Jha, Rakesh Kumar
    Jain, Sanjeev
    Kumar, Preetam
    TELECOMMUNICATION SYSTEMS, 2019, 72 (01) : 95 - 113
  • [9] Statistical Delay and Error-Rate Bounded QoS Provisioning for 6G mURLLC Over AoI-Driven and UAV-Enabled Wireless Networks
    Zhang, Xi
    Wang, Jingqing
    Poor, H. Vincent
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021), 2021,