Energy Efficiency Optimization of 5G Radio Frequency Chain Systems

Zi, Ran; Ge, Xiaohu; Thompson, John; Wang, Cheng-Xiang; Wang, Haichao; Han, Tao

doi:10.1109/jsac.2016.2544579

Cited by 149 publications

(154 citation statements)

References 41 publications

(65 reference statements)

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“…Learning tools are combined with fractional programming to develop an online optimization algorithm. The energy efficiency maximization of a massive MIMO system operating in the mmWave range is studied in [63], while the paper [64] focuses on a cognitive scenario wherein a secondary network co-exists, using the same frequency band, with a primary cellular network.…”

Section: Resource Allocationmentioning

confidence: 99%

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Buzzi

Chih‐Lin

Klein

et al. 2016

IEEE J. Select. Areas Commun.

697

431

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Abstract-After about a decade of intense research, spurred by both economic and operational considerations, and by environmental concerns, energy efficiency has now become a key pillar in the design of communication networks. With the advent of the fifth generation of wireless networks, with millions more base stations and billions of connected devices, the need for energy-efficient system design and operation will be even more compelling. This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.

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Section: Resource Allocationmentioning

confidence: 99%

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Buzzi

Chih‐Lin

Klein

et al. 2016

IEEE J. Select. Areas Commun.

697

431

View full text Add to dashboard Cite

show abstract

“…Clearly, η * I,∞ is a decreasing function of the goodput threshold T 0 . Moreover, when σ 1 2 = · · · = σ L 2 = 1 and ρ = 0, we have θ L = 1 based on its definition in (22). As shown in Appendix C, θ L is a decreasing function of the time correlation coefficient ρ.…”

Section: Appendix E Proof Of Theoremmentioning

confidence: 99%

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Shi

Yang

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-Energy efficiency of three common hybrid automatic repeat request (HARQ) schemes including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR), is analyzed and joint power allocation and rate selection to maximize the energy efficiency is investigated in this paper. Unlike prior literature, time-correlated fading channels is considered and two widely concerned quality of service (QoS) constraints, i.e., outage and goodput constraints, are also considered in the optimization, which further differentiates this work from prior ones. Using a unified expression of asymptotic outage probabilities, optimal transmission powers and optimal rate are derived in closed-forms to maximize the energy efficiency while satisfying the QoS constraints. These closed-form solutions then enable a thorough analysis of the maximal energy efficiencies of various HARQ schemes. It is revealed that with low outage constraint, the maximal energy efficiency achieved by Type I HARQ is 1 4 ln 2 bits/J, while HARQ-CC and HARQ-IR can achieve the same maximal energy efficiency as κ∞ 4 ln 2 bits/J where κ∞ = 1.6617. Moreover, time correlation in the fading channels has a negative impact on the energy efficiency, while large maximal allowable number of transmissions is favorable for the improvement of energy efficiency. The effectiveness of the energy-efficient optimization is verified by extensive simulations and the results also show that HARQ-CC can achieve the best tradeoff between energy efficiency and spectral efficiency among the three HARQ schemes.Index Terms-Energy efficiency, time-correlated fading channels, hybrid automatic repeat request, power allocation and rate selection.

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“…Maintaining the number of BS antennas, the number of users, the input SNR, and the number of RF chains constant, we will focus on finding the best input SNR that achieves the total achievable EE maximization. ( , 1 , , , , , , , ) constant, the optimal SNR is calculated as (18), which can be found below.…”

Section: Energy Efficiency Analysismentioning

confidence: 99%

“…For example, the 2 Wireless Communications and Mobile Computing authors in [16,17] proposed a novel algorithm for pointto-point MIMO systems, which aimed to reduce the computational complexity of system and maximize the total achievable spectral efficiency (SE) on different subcarriers. To handle the severe energy consumption and hardware cost, the authors in [18] proposed user scheduling algorithms and resource allocation schemes, which aimed to maximize the total achievable energy efficiency (EE) on hybrid massive system. However, all the aforementioned studies are based on the ideal phase shifters at the analog domain, which has a potential to enhance the complexity of the system, especially for a huge quantity of data.…”

Section: Introductionmentioning

confidence: 99%

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

Tan

Carvalho

et al. 2018

Wireless Communications and Mobile Computing

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Low cost and high efficiency, defined as energy efficiency (EE) and spectral efficiency (SE), have raised more and more attention in the fifth generation (5G) communication systems due to steadily rising hardware cost, energy consumption, and mobile traffic. This paper studies the hybrid architecture of multiuser massive MIMO systems, where the digital domain utilizes the zero-forcing (ZF) precoding scheme and the analog domain uses discrete Fourier transform (DFT) processing that significantly reduces hardware cost and energy consumption. We derive analytical expressions on the total achievable SE and EE, as well as offering insight into some engineering parameters in the system performance. Our aim is to achieve low cost and high efficiency massive MIMO system, with constraints on the overall transmit power, the number of users, and the number of radio frequency (RF) chains. Results exhibit that the total achievable SE of the hybrid architectures with DFT precessing is inferior to the full digital architectures and hybrid architectures with the ideal phase shifters, but the performance attenuation can be compensated by providing the more input SNR and higher number of RF chains. Moreover, we find that the total achievable EE of hybrid architectures with DFT precessing outperforms other massive MIMO architectures that include a full digital implementation, ideal phase shifters, and a switched network.

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Energy Efficiency Optimization of 5G Radio Frequency Chain Systems

Cited by 149 publications

References 41 publications

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

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