A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …
(MEC) systems have been based on the assumption of synchronous offloading, where all …
A review on energy management issues for future 5G and beyond network
The much-awaited year—2021 that promises to deliver a great deal on the 5th generation
(5G) wireless systems' expectations is finally here. Several solutions have been proposed to …
(5G) wireless systems' expectations is finally here. Several solutions have been proposed to …
Opportunistic non-contiguous OFDMA scheduling framework for future B5G/6G cellular networks
HB Salameh, H Al-Obiedollah, R Mahasees… - … Modelling Practice and …, 2022 - Elsevier
In this paper, we consider the problem of resource allocation within Beyond 5G (B5G) and
the envisioned 6G wireless networks with Cognitive Radio (CR) capability. CR technology …
the envisioned 6G wireless networks with Cognitive Radio (CR) capability. CR technology …
Performance evaluation of the networks with Wi-Fi based TDMA coexisting with CSMA/CA
X Guo, S Wang, H Zhou, J Xu, Y Ling, J Cui - Wireless Personal …, 2020 - Springer
The wireless technology is widely used in industries with timing stringent tasks. However, it
lacks of the consideration of the co-channel interference when designing and estimating the …
lacks of the consideration of the co-channel interference when designing and estimating the …
Joint time allocation and power control in multicell networks with load coupling: Energy saving and rate improvement
In this paper, we consider the problems of minimizing sum power and maximizing sum rate
for multicell networks with load coupling, where coupling relation occurs among cells due to …
for multicell networks with load coupling, where coupling relation occurs among cells due to …
Deep learning based online power control for large energy harvesting networks
In this paper, we propose a deep learning based approach to design online power control
policies for large EH networks, which are often intractable stochastic control problems. In the …
policies for large EH networks, which are often intractable stochastic control problems. In the …
Optimizing the energy-spectrum efficiency of cellular systems by evolutionary multi-objective algorithm
Energy harvesting is one of the most important technologies in green communication.
Wireless systems usually have different traffic loads and available renewable energy, and …
Wireless systems usually have different traffic loads and available renewable energy, and …
TDMA scheduling schemes targeting high channel utilization for energy‐harvesting wireless sensor networks
As a contention‐free channel access protocol, Time Division Multiple Access (TDMA) is
widely applied in Energy Harvesting Wireless Sensor Networks (EH‐WSNs) due to ease of …
widely applied in Energy Harvesting Wireless Sensor Networks (EH‐WSNs) due to ease of …
Optimizing superframe and data buffer to achieve maximum throughput for 802.15. 4-based energy harvesting wireless sensor networks
Energy harvesting wireless sensor networks (EH-WSNs) intend to support sustainable
operations. It is important to design a high-throughput data delivery scheme that adapts to …
operations. It is important to design a high-throughput data delivery scheme that adapts to …
An effectual spectrum sharing and battery utilization strategy using fuzzy enabled dynamic relay polling transmission in WSN
BR Sathishkumar - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
Power dissipation at the network level to improve lifespan without degrading the bandwidth
and collaboration is a fundamental impediment to effective spectral efficiency in wireless …
and collaboration is a fundamental impediment to effective spectral efficiency in wireless …