Energy Efficient Coordinated Beamforming for Multicell System: Duality-Based Algorithm Design and Massive MIMO Transition

In this paper, we investigate joint beamforming and power allocation in multicell multiple-input single-output (MISO) downlink networks. Our goal is to maximize the utility function defined as the ratio between the system weighted sum rate and the total power consumption subject to the users' q...

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Vydané v:IEEE transactions on communications Ročník 63; číslo 12; s. 4920 - 4935
Hlavní autori: Shiwen He, Yongming Huang, Luxi Yang, Ottersten, Bjorn, Wei Hong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.12.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Allocations
Array signal processing
Asymptotic properties
Beamforming
Beamforming and Power Allocation
Channels
Coordinated Energy-Efficient Transmission
Downlink
Interference
Massive Multiple-Input-Single-Output System
Mathematical analysis
Mathematical models
MIMO
Optimization
Signal to noise ratio
Uplink
Uplink-Downlink Duality
massive multiple-input-single-output system
beamforming and power allocation
Coordinated energy-efficient transmission
uplink-downlink duality
ISSN:0090-6778, 1558-0857, 1558-0857
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Abstract In this paper, we investigate joint beamforming and power allocation in multicell multiple-input single-output (MISO) downlink networks. Our goal is to maximize the utility function defined as the ratio between the system weighted sum rate and the total power consumption subject to the users' quality of service requirements and per-base-station (BS) power constraints. The considered problem is nonconvex and its objective is in a fractional form. To circumvent this problem, we first resort to an virtual uplink formulations of the the primal problem by introducing an auxiliary variable and applying the uplink-downlink duality theory. By exploiting the analytic structure of the optimal beamformers in the dual uplink problem, an efficient algorithm is then developed to solve the considered problem. Furthermore, to reduce further the exchange overhead between coordinated BSs in a large-scale antenna system, an effective coordinated power allocation solution only based on statistical channel state information is reached by deriving the asymptotic optimization problem, which is used to obtain the power allocation in a long-term timescale. Numerical results validate the effectiveness of our proposed schemes and show that both the spectral efficiency and the energy efficiency can be simultaneously improved over traditional downlink coordinated schemes, especially in the middle-high transmit power region.
AbstractList In this paper, we investigate joint beamforming and power allocation in multicell multiple-input single-output (MISO) downlink networks. Our goal is to maximize the utility function defined as the ratio between the system weighted sum rate and the total power consumption subject to the users' quality of service requirements and per-base-station (BS) power constraints. The considered problem is nonconvex and its objective is in a fractional form. To circumvent this problem, we first resort to an virtual uplink formulations of the the primal problem by introducing an auxiliary variable and applying the uplink-downlink duality theory. By exploiting the analytic structure of the optimal beamformers in the dual uplink problem, an efficient algorithm is then developed to solve the considered problem. Furthermore, to reduce further the exchange overhead between coordinated BSs in a large-scale antenna system, an effective coordinated power allocation solution only based on statistical channel state information is reached by deriving the asymptotic optimization problem, which is used to obtain the power allocation in a long-term timescale. Numerical results validate the effectiveness of our proposed schemes and show that both the spectral efficiency and the energy efficiency can be simultaneously improved over traditional downlink coordinated schemes, especially in the middle-high transmit power region.
Author Luxi Yang
Wei Hong
Shiwen He
Ottersten, Bjorn
Yongming Huang
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  surname: Luxi Yang
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  surname: Wei Hong
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Keywords massive multiple-input-single-output system
beamforming and power allocation
Coordinated energy-efficient transmission
uplink-downlink duality
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Snippet In this paper, we investigate joint beamforming and power allocation in multicell multiple-input single-output (MISO) downlink networks. Our goal is to...
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SubjectTerms Algorithms
Allocations
Array signal processing
Asymptotic properties
Beamforming
Beamforming and Power Allocation
Channels
Coordinated Energy-Efficient Transmission
Downlink
Interference
Massive Multiple-Input-Single-Output System
Mathematical analysis
Mathematical models
MIMO
Optimization
Signal to noise ratio
Uplink
Uplink-Downlink Duality
Title Energy Efficient Coordinated Beamforming for Multicell System: Duality-Based Algorithm Design and Massive MIMO Transition
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