Energy-Efficient Resource Allocation for Wireless Powered Massive MIMO System with Imperfect CSI

Zhou, Zhenyu; Chang, Zheng; Liao, Haijun

doi:10.1007/978-3-030-64054-5_11

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to tackle this fundamental issue and ensure the realization of an energy-efficient network, umpteen green networking approaches and novel strategies have been developed. In particular, energy-efficient resource allocation schemes, low-complexity power allocation algorithms, energy harvesting and energy exchange techniques, and hardware conditioning, amongst several other strategies, have been deployed [48,[77][78][79]. Indeed, it is of practical interest to provide an up-to-date review of current trends in green wireless communications to guide future research efforts.…”

Section: Selected Energy Maximization Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Energy Efficiency and Power Control Schemes in Ultra-Dense Cell-Free Massive MIMO Systems for Sustainable 6G Wireless Communication

et al. 2022

View full text Add to dashboard Cite

The traditional multiple input multiple output (MIMO) systems cannot provide very high Spectral Efficiency (SE), Energy Efficiency (EE), and link reliability, which are critical to guaranteeing the desired Quality of Experience (QoE) in 5G and beyond 5G wireless networks. To bridge this gap, ultra-dense cell-free massive MIMO (UD CF-mMIMO) systems are exploited to boost cell-edge performance and provide ultra-low latency in emerging wireless communication systems. This paper attempts to provide critical insights on high EE operation and power control schemes for maximizing the performance of UD CF-mMIMO systems. First, the recent advances in UD CF-mMIMO systems and the associated models are elaborated. The power consumption model, power consumption parts, and energy maximization techniques are discussed extensively. Further, the various power control optimization techniques are discussed comprehensively. Key findings from this study indicate an unprecedented growth in high-rate demands, leading to a significant increase in energy consumption. Additionally, substantial gains in EE require efficient utilization of optimal energy maximization techniques, green design, and dense deployment of massive antenna arrays. Overall, this review provides an elaborate discussion of the research gaps and proposes several research directions, critical challenges, and useful recommendations for future works in wireless communication systems.

show abstract

Section: Selected Energy Maximization Techniquesmentioning

confidence: 99%

“…It can also be extended to more practical and complicated setups 2021 [77] In resolving the EE problem of an mMIMO system coupled with wireless power transfer, a resource allocation scheme that optimizes the power and time allocation, antenna selection, and beamforming design is analyzed.…”

Section: Ref Focus and Coverage Key Findingsmentioning

confidence: 99%