Power Allocation in Multi-Antenna Wireless Systems Subject to Simultaneous Power Constraints

Khoshnevisan, Mostafa; Laneman, J. Nicholas

doi:10.1109/tcomm.2012.091112.120071

Cited by 62 publications

(27 citation statements)

References 22 publications

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“…Hence, the denominator of the EE is constant, i.e., EE = SE (P C +Ptot) and the corresponding solution is the one that maximizes the SE, i.e., the water-filling power allocation (WPA) [17]. Hence, the solution is given by…”

Section: Ee Maximization With Active Constraintsmentioning

confidence: 99%

Energy-Efficient Power Allocation for UAV Cognitive Radio Systems

Sboui

Ghazzai

Rezki

et al. 2017

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)

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Abstract-We study the deployment of unmanned aerial vehicles (UAV) based cognitive system in an area covered by the primary network (PN). An UAV shares the spectrum of the PN and aims to maximize its energy efficiency (EE) by optimizing the transmit power. We focus on the case where the UAV simultaneously communicates with the ground receiver (G), under interference limitation, and with another relaying UAV (A), with a minimal required rate. We analytically develop the power allocation framework that maximizes the EE subject to power budget, interference, and minimal rate constraints. In the numerical results, we show that the minimal rate may cause a transmission outage at low power budget values. We also highlighted the existence of optimal altitudes given the UAV location with respect to the different other terminals.

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Section: Ee Maximization With Active Constraintsmentioning

confidence: 99%

Energy-Efficient Power Allocation for UAV Cognitive Radio Systems

Sboui

Ghazzai

Rezki

et al. 2017

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)

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“…When perfect CSI is assumed to be available at both transmitters and receivers in wireless communication systems, the water-filling power allocation scheme is used for improve the capacity of wireless communication systems [39]. The downlink capacity over wireless channels between the BS BS 0 and the MS M S 0 is expressed as…”

Section: Energy Efficiency Of Mimo Cellular Network Using Water-fillmentioning

confidence: 99%

5G green cellular networks considering power allocation schemes

Chen

Wang

et al. 2015

Sci. China Inf. Sci.

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It is important to assess the effect of transmit power allocation schemes on the energy consumption on random cellular networks. The energy efficiency of 5G green cellular networks with average and water-filling power allocation schemes is studied in this paper. Based on the proposed interference and achievable rate model, an energy efficiency model is proposed for MIMO random cellular networks. Furthermore, the energy efficiency with average and water-filling power allocation schemes are presented, respectively. Numerical results indicate that the maximum limits of energy efficiency are always there for MIMO random cellular networks with different intensity ratios of mobile stations (MSs) to base stations (BSs) and channel conditions. Compared with the average power allocation scheme, the water-filling scheme is shown to improve the energy efficiency of MIMO random cellular networks when channel state information (CSI) is attainable for both transmitters and receivers.

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“…This result was further extended to fading MIMO channels in [12], where it was shown that isotropic signaling is optimal if the fading distribution is right-unitary-invariant. A sub-optimal signaling strategy for ergodic-fading MIMO channel was developed in [7] under the long-term TPC and short-term PAC. The general MIMO case under the joint power constraints remains an open problem.…”

Section: Introductionmentioning

confidence: 99%

On the Capacity of Gaussian MIMO Channels Under the Joint Power Constraints

Loyka

2019

IEEE Wireless Commun. Lett.

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The capacity and optimal signaling over a fixed Gaussian MIMO channel are considered under the joint total and per-antenna power constraints (TPC and PAC). While the general case remains an open problem, a closed-form fullrank solution is obtained along with its sufficient and necessary conditions. The conditions for each constraint to be inactive are established. The high and low-SNR regimes are studied. Isotropic signaling is shown to be optimal in the former case while rank-1 signaling (beamforming) is not necessarily optimal in the latter case. Unusual properties of optimal covariance under the joint constraints are pointed out.

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Power Allocation in Multi-Antenna Wireless Systems Subject to Simultaneous Power Constraints

Cited by 62 publications

References 22 publications

Energy-Efficient Power Allocation for UAV Cognitive Radio Systems

Energy-Efficient Power Allocation for UAV Cognitive Radio Systems

5G green cellular networks considering power allocation schemes

On the Capacity of Gaussian MIMO Channels Under the Joint Power Constraints

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