Green concerns in federated learning over 6G

Zhao, Borui; Cui, Qimei; Liang, Shengyuan; Zhai, Jinli; Hou, Yanzhao; Huang, Xueqing; Pan, Miao; Tao, Xiaofeng

doi:10.23919/jcc.2022.03.004

Cited by 11 publications

(2 citation statements)

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“…However, the execution of tasks would consume a considerable amount of energy. Green communication in 6G should be manifested by reducing the total energy consumption in order to achieve an energy efficiency goal [7]. In addition, the dual carbon goal of future communication networks is to reduce carbon emissions by 50% [8].…”

Section: Introductionmentioning

confidence: 99%

Joint Latency-Oriented, Energy Consumption, and Carbon Emission for a Space–Air–Ground Integrated Network with Newly Designed Power Technology

Wang,

Li,

et al. 2023

Electronics

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Ubiquitous connectivity is envisaged for the space–air–ground-integrated network (SAGIN) of future communication to meet the needs of quality of service (QoS), green communication, and “dual carbon” targeting. However, the offloading and computation of massive latency-sensitive tasks dramatically increase the energy consumption of the network. To address these issues, we first propose a SAGIN architecture with energy-harvesting devices, where the base station (BS) is powered by both renewable energy (RE) and the conventional grid. The BS explores wireless power transfer (WPT) technology to power an unmanned aerial vehicle (UAV) for stable network operation. RE sharing between neighboring BSs is designed to fully utilize RE to reduce carbon emissions. Secondly, on the basis of task offloading decisions, the UAV trajectory, and the RE sharing ratio, we construct cost functions with joint latency-oriented, energy consumption, and carbon emission. Then, we develop a twin delayed deep deterministic policy gradient (TD3PG) algorithm based on deep reinforcement learning to minimize the cost function. Finally, simulation results demonstrate that the proposed algorithm outperforms the benchmark algorithm in terms of reducing latency, energy saving, and lower carbon emissions.

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Section: Introductionmentioning

confidence: 99%

Joint Latency-Oriented, Energy Consumption, and Carbon Emission for a Space–Air–Ground Integrated Network with Newly Designed Power Technology

Wang,

Li,

et al. 2023

Electronics

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show abstract

“…In the future, 6G mobile communication data traffic will dramatically increase [1][2][3]. Compared with increasing spectrum bandwidth and improving physical layer technology, Ultra-Dense Networks (UDN) improve network coverage through hhigh-density frequency space reuse, which is a more effective way to improve spectrum utilization and wireless network capacity [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

CSI-Impaired Beamforming Optimization for Dense MIMO Communication Networks

Ren

Tang

2022

Electronics

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This paper studied the robust beamforming for dense transmission systems with imperfect channel state information (CSI). The objective was to maximize the minimum signal to interference plus noise ratio (SINR) in the constraint of the per base station (BS) power. By performing the uplink–downlink duality theory, the referred non-convex optimization problem can be changed into the equivalent uplink decoupling optimization problem. Then, we proposed the instantaneous updating uplink–downlink power algorithm, which relies on instantaneous CSI for the finite system. For the massive MIMO system, to obtain the solution to the problem required for power to instantaneously update, we proposed the updating uplink–downlink power algorithm, which only requires statistical CSI, by applying the random matrix theory. The simulation results show the feasibility and effectiveness of our proposed algorithms.

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Research on future 6G green wireless networks

2025

Green Technologies and Sustainability

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Green concerns in federated learning over 6G

Cited by 11 publications

References 0 publications

Joint Latency-Oriented, Energy Consumption, and Carbon Emission for a Space–Air–Ground Integrated Network with Newly Designed Power Technology

Joint Latency-Oriented, Energy Consumption, and Carbon Emission for a Space–Air–Ground Integrated Network with Newly Designed Power Technology

CSI-Impaired Beamforming Optimization for Dense MIMO Communication Networks

Research on future 6G green wireless networks

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