Performance Analysis of Energy-Efficient Power Allocation for MIMO-MRC Systems

Prabhu, Raghavendra S.; Daneshrad, Babak

doi:10.1109/tcomm.2012.052412.100135

Cited by 27 publications

(13 citation statements)

References 20 publications

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“…Correspondingly, the approximate expression of overall ergodic throughput is 2 1 (5) and (21), the MU-MIMO system EE as a function of P can be defined as (12), the optimal value can be obtained as: …”

Section: The Case Of   mentioning

confidence: 99%

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Energy Efficiency Optimization for Uplink Multiuser MIMO Systems

Ma¹,

Li²,

Mu³

2016

IJMUE

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Section: The Case Of   mentioning

confidence: 99%

“…Energy efficiency (EE), defined as the ratio of achievable capacity to power, is becoming an increasingly critical indicator for wireless systems. How to maximize the bits-per-Joule energy efficiency (EE) is one of the major topics in the research of green wireless communications [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Uplink Multiuser MIMO Systems

Ma¹,

Li²,

Mu³

2016

IJMUE

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“…According to (12), EE(P d ) is a function of P d with fixed P p . −EE(P d ) can be expressed as We define the right side of (24) as…”

Section: Appendix 1: Proof Of Propositionmentioning

confidence: 99%

Energy‐efficient power allocation for training‐based multiple‐input multiple‐output system with and without feedback

Chen

Wei

2013

IET Communications

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In this study, the authors discuss energy-efficient power allocation for training-based multiple-input multiple-output (MIMO) system with and without feedback. Firstly, they consider the non-feedback MIMO system, where data power is equally allocated to transmit antennas. With pilot power fixed, the energy efficiency (EE)-optimal data power is derived based on the pseudo-concavity of the EE expression. When data power and pilot power are both variable, a convergent alternating optimisation algorithm is proposed to obtain EE-suboptimal data power and pilot power. Then, they consider the feedback MIMO system where data power is water-filling allocated to transmit antennas. Although the effective transmit antennas number at this scenario is discrete, they propose an algorithm to calculate it and its corresponding EE-optimal data power with pilot power fixed. When data power and pilot power are both variable, a similar convergent alternating optimisation algorithm is given. The numerical results demonstrate the EE performance of the training-based MIMO system with and without feedback. The impacts of multi-antennas configuration, circuit power and block length are also shown and analysed.

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“…Although SE measures how efficiently a limited frequency spectrum is utilized, it fails to account for efficient power consumption. Due to the high power consumption of cellular networks, research on energy efficiency (EE), which is typically concerned with maximizing the number of bits per Joule, has attracted much interest recently, e.g., single link optimization [1], single cell scenario [2], cognitive radio network [3] and cooperative relaying network [4] has been recently studied.…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency in multi-cell MIMO broadcast channels with interference alignment

Tang

Alsusa

et al. 2014

2014 IEEE Global Communications Conference

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Characterizing the fundamental metric of energy efficiency (EE) of multiple-input multiple-output interfering broadcast channels (MIMO-IFBC) is important for the development of green wireless communications. In this paper, we address the EE optimization problem for multi-cell MIMO-IFBC within the context of interference alignment (IA). We employ groupingbased IA scheme to cancel both inter-cell interference (ICI) and inter-user inference (IUI), and thus transform the MIMO-IFBC to a single cell single user MIMO scenario. A gradient-based optimal power adaptation scheme is proposed which utilizes water-filling approach and singular value decomposition (SVD) to maximize EE for each cell. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation algorithm can efficiently approach the optimal EE.

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Performance Analysis of Energy-Efficient Power Allocation for MIMO-MRC Systems

Cited by 27 publications

References 20 publications

Energy Efficiency Optimization for Uplink Multiuser MIMO Systems

Energy Efficiency Optimization for Uplink Multiuser MIMO Systems

Energy‐efficient power allocation for training‐based multiple‐input multiple‐output system with and without feedback

Energy efficiency in multi-cell MIMO broadcast channels with interference alignment

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