On the Energy Efficiency-Spectral Efficiency Trade-Off of Distributed MIMO Systems

Onireti, Oluwakayode; Héliot, Fabien; Imran, Muhammad Ali

doi:10.1109/tcomm.2013.071813.120823

Cited by 76 publications

(78 citation statements)

References 27 publications

(59 reference statements)

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“…Subsequent to these works, the achievable rate has become the dominant choice to measure the quality of a communication system. Further studies that considered this approach are [22], and [23] for OFDMA systems, [24]- [26] for MIMO systems, [27]- [29] for relay-assisted communications, [30] and [31] for cognitive communications. -Throughput.…”

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.

696

397

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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.

696

397

View full text Add to dashboard Cite

show abstract

“…In that work, the authors also analyze the impact of considering a realistic PCM, while they derive closedform upper bounds for the EE-SE trade-off. Moreover, in [16], distributed MIMO and co-located MIMO are compared in terms of the EE-SE trade-off. The authors also consider different types of PCMs and show that distributed MIMO is more energy efficient than co-located MIMO for use at the cell edge.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency-Spectral Efficiency Trade-Off of Transmit Antenna Selection

Rayel

Brante

Rebelatto

et al. 2014

IEEE Trans. Commun.

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Abstract-We evaluate the Energy Efficiency-Spectral Efficiency (EE-SE) trade-off of Multiple-Input Multiple-Output (MIMO) and Transmit Antenna Selection/Maximum Ratio Combining (TAS/MRC) schemes. A realistic power consumption model (PCM) is considered, and it is shown that using TAS/MRC can provide significant energy savings when compared to MIMO in the low to medium spectral efficiency region, regardless the number of antenna elements. If the number of receive antennas is fixed, the energy efficiency gain of using TAS/MRC becomes even greater with the increasing number of transmit antennas. The optimal value of spectral efficiency that minimizes the energy consumption is obtained in closed-form, and confirmed by numerical results. Moreover, it is also shown that considering a non-realistic PCM can lead to mistakes when analyzing the gain obtained by using TAS/MRC instead of MIMO.

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“…The AEE of a communication system is the average amount of bits that can be delivered per joule consumed to do so, i.e. the ratio of the average ergodic rate to the total power consumed [17], [18]. The ergodic rate and the power consumed by a typical UT depend on its association, which could be with either a macro cell or small cell.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous Networks

Onireti

Imran

et al. 2016

IEEE Trans. Veh. Technol.

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In this paper, using stochastic geometry, we investigate the average energy efficiency (AEE) of the user terminal (UT) in the uplink of a two-tier heterogeneous network (HetNet), where the two tiers are operated on separate carrier frequencies. In such a deployment, a typical UT must periodically perform inter-frequency small cell discovery (ISCD) process in order to discover small cells in its neighborhood and benefit from the high data rate and traffic offloading opportunity that small cells present. We assume that the base stations (BSs) of each tier and UTs are randomly located and we derive the average ergodic rate and UT power consumption, which are later used for our AEE evaluation. The AEE incorporates the percentage of time a typical UT missed small cell offloading opportunity as a result of the periodicity of the ISCD process. In addition to this, the additional power consumed by the UT due to the ISCD measurement is also included. Moreover, we derive the optimal ISCD periodicity based on the UT's average energy consumption (AEC) and AEE. Our results reveal that ISCD periodicity must be selected with the objective of either minimizing UT's AEC or maximizing UT's AEE. Index TermsHeterogeneous cellular network, stochastic geometry, fractional power control, small cell discovery, energy efficiency.

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On the Energy Efficiency-Spectral Efficiency Trade-Off of Distributed MIMO Systems

Cited by 76 publications

References 27 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 Efficiency-Spectral Efficiency Trade-Off of Transmit Antenna Selection

Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous Networks

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