Spectral Efficiency of Distributed MIMO Cellular Systems in a Composite Fading Channel

Wang, Dongming; You, Xiaohu; Wang, Jiangzhou; Wang, Yan; Hou, Xihuan

doi:10.1109/icc.2008.245

Cited by 83 publications

(81 citation statements)

References 13 publications

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“…Surprisingly, little is still known for the capacity performance of D-MIMO systems and this can be attributed to the difficulty in averaging the channel eigen-statistics over the shadowing distribution. In [9], an asymptotic, in terms of antenna elements, capacity analysis was performed that took into account the effects of both spatial correlation and shadowing, while closed-form expressions for the mean/outage spectral efficiency in the high signal-to-noise (SNR) regime were presented in [10]. The generic approach of [11] used tools from majorization theory to derive upper and lower capacity bounds for Nakagami-D-MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, there has been growing interest in the area of distributed MIMO (D-MIMO) systems, which combine MIMO technology with the classical principle of distributed antenna systems to make use of both micro and macro-diversity [7]- [10]. In essence, multiple antennas at one end of the wireless channel are packed into multiple radio ports (or nodes) that are spatially separated.…”

Section: Introductionmentioning

confidence: 99%

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A New Lower Bound on the Ergodic Capacity of Distributed MIMO Systems

Matthaiou

Chatzidiamantis

Karagiannidis

2011

IEEE Signal Process. Lett.

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Abstract-We present a novel and analytical lower bound on the ergodic capacity of distributed multiple-input multiple-output (D-MIMO) systems operating in composite Rayleigh/lognormal (RLN) fading and assuming double-sided spatial correlation. The proposed lower bound is applicable for finite number of antennas and remains tight across the entire Signal-to-Noise (SNR) regime. In addition, we perform a detailed low-SNR analysis that provides useful insights into the implications of the system parameters on MIMO capacity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Lower Bound on the Ergodic Capacity of Distributed MIMO Systems

Matthaiou

Chatzidiamantis

Karagiannidis

2011

IEEE Signal Process. Lett.

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“…We consider only one active user in the system due to the use of an orthogonal access scheme. We assume as in [6], [9], [14] that all 2p antennas have a separate feeder to the central unit where all signal processing is done. We also assume that p ≥ q, which is a practical and reasonable assumption [7].…”

Section: System Modelmentioning

confidence: 99%

“…The DMIMO scheme combines both the advantages of point-topoint MIMO and distributed antenna system (DAS), i.e. micro and macro diversity, respectively [6], [7]. In [6], [8]- [10], closed-form expressions of the channel capacity of DMIMO were presented.…”

Section: Introductionmentioning

confidence: 99%

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On the Energy Efficiency-Spectral Efficiency Trade-Off of the 2BS-DMIMO System

Onireti

Héliot

Imran

2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-In this paper, we propose a novel closed-form approximation of the Energy Efficiency vs. Spectral Efficiency (EE-SE) trade-off for the uplink/downlink of distributed multipleinput multiple-output (DMIMO) system with two cooperating base stations. Our closed-form expression can be utilized for evaluating the idealistic and realistic EE-SE performances of various antenna configurations as well as assessing how DMIMO compares against MIMO system in terms of EE. Results show a tight match between our closed-form approximation and the Monte-Carlo simulation for both idealistic and realistic EE-SE trade-off. Our results also show that given a target SE requirement, there exists an optimal antenna setting that maximizes the EE. In addition, DMIMO scheme can offer significant improvement in terms of EE over the MIMO scheme.

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Energy efficiency comparison between distributed and co‐located MIMO systems

Sheng

Zhu

et al. 2012

Int J Communication

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SUMMARYEnergy efficiency (EE) is becoming more and more important in future wireless communications because of limited battery power in mobile terminals. In this paper, we compare EE of the distributed MIMO (D‐MIMO) and co‐located MIMO (C‐MIMO) in uplink systems. Taking into account both circuit and transmit power, we derive an analytical expression for EE of D‐MIMO and C‐MIMO systems in a composite Rayleigh‐lognormal channel. What is more, an optimization algorithm is proposed to get the optimal EE values while satisfying given spectral efficiency requirement for both D‐MIMO and C‐MIMO systems. Simulation results show that D‐MIMO systems are more energy effective than C‐MIMO systems when considering the realistic systems, and the optimal EE can be obtained by the proposed algorithm while satisfying given spectral efficiency requirement. Copyright © 2012 John Wiley & Sons, Ltd.

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Spectral Efficiency of Distributed MIMO Cellular Systems in a Composite Fading Channel

Cited by 83 publications

References 13 publications

A New Lower Bound on the Ergodic Capacity of Distributed MIMO Systems

A New Lower Bound on the Ergodic Capacity of Distributed MIMO Systems

On the Energy Efficiency-Spectral Efficiency Trade-Off of the 2BS-DMIMO System

Energy efficiency comparison between distributed and co‐located MIMO systems

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