Energy Efficient MIMO Relay Transmissions via Joint Power Allocations

Li, Chunguo; Sun, Fenggang; Cioffi, J.M.; Yang, Liu

doi:10.1109/tcsii.2014.2327317

Cited by 94 publications

(71 citation statements)

References 13 publications

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“…Recently, energy efficient (EE) resource allocation for MIMO cooperative communication has become attractive, such as [22][23][24][25][26][27]. Reference [22] considers the energy efficient joint source-relay power allocation problem for MIMO AF relaying system.…”

Section: Related Workmentioning

confidence: 99%

“…Reference [22] considers the energy efficient joint source-relay power allocation problem for MIMO AF relaying system. In [22], the objective of optimization is the number of the bits per second per hertz per Joule with the guarantee of the minimum spectral efficiency, and the objective function and the constraint are not convex. Firstly, [22] transforms the original problem into a pseudoconvex problem by employing the high signal-to-noise ratio (SNR) approximation.…”

Section: Related Workmentioning

confidence: 99%

“…In [22], the objective of optimization is the number of the bits per second per hertz per Joule with the guarantee of the minimum spectral efficiency, and the objective function and the constraint are not convex. Firstly, [22] transforms the original problem into a pseudoconvex problem by employing the high signal-to-noise ratio (SNR) approximation. Then, the authors in [22] propose a relaxation method according to the Jensen inequality to solve the pseudo-convex problem.…”

Section: Related Workmentioning

confidence: 99%

“…Firstly, [22] transforms the original problem into a pseudoconvex problem by employing the high signal-to-noise ratio (SNR) approximation. Then, the authors in [22] propose a relaxation method according to the Jensen inequality to solve the pseudo-convex problem. [23] studies the energy-spectral efficiency (EE-SE) trade-off of the uplink of a multi-user cellular virtual MIMO system.…”

Section: Related Workmentioning

confidence: 99%

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Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Wang

Chen

Lan

2018

Journal of Electrical and Computer Engineering

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In this paper, firstly, we study the linear processing of amplify-and-forward (AF) relays for the multiple relays multiple users scenario. We regard all relays as one special "relay", and then the subcarrier pairing, relay selection and channel assignment can be seen as a linear processing of the special "relay". Under fixed power allocation, the linear processing of AF relays can be regarded as a permutation matrix. Employing the partitioned matrix, we propose an optimal linear processing design for AF relays to find the optimal permutation matrix based on the sorting of the received SNR over the subcarriers from BS to relays and from relays to users, respectively. Then, we prove the optimality of the proposed linear processing scheme. Through the proposed linear processing scheme, we can obtain the optimal subcarrier paring, relay selection and channel assignment under given power allocation in polynomial time. Finally, we propose an iterative algorithm based on the proposed linear processing scheme and Lagrange dual domain method to jointly optimize the joint optimization problem involving the subcarrier paring, relay selection, channel assignment and power allocation. Simulation results illustrate that the proposed algorithm can achieve a perfect performance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Wang

Chen

Lan

2018

Journal of Electrical and Computer Engineering

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“…Moreover, [8] discussed the tradeoff between energy and spectral efficiency for a MIMO Rayleigh channel, where it has been shown that multiple antennas (in the spatial multiplexing sense) can be considerably less energy efficient than SISO transmissions. In [9], [10] another energy efficient power allocation scheme for a MIMO cooperative network was studied. The adopted technique is to divide the MIMO channel into several SISO subchannels, so that power allocation can be performed.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Distributed Power Allocation With Multiple Relays and Antenna Selection

Peron

Brante

Souza

2015

IEEE Trans. Commun.

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This paper proposes an iterative power allocation algorithm that maximizes the energy efficiency of a multiple-relay cooperative multiple antenna (MIMO) network. Energy efficiency is defined as the achievable spectral efficiency normalized by the total power consumption, which also accounts for the RF circuitry consumption, modeled in a wireless sensor network. Moreover, relay selection is performed using the distributed opportunistic selection protocol, while we derive closed-form expressions for outage probability and energy efficiency for a single antenna (SISO) and two MIMO scenarios: 1) based on antenna selection (AS) and 2) based on single value decomposition (SVD) beamforming. In order to evaluate the performance of the proposed algorithm, we compare it to an exhaustive search optimal power allocation method. Results show that the proposed algorithm performs very close to an exhaustive search approach and that, although MIMO SVD has the best outage performance, AS has the best energy efficiency for low and moderate source-destination distances and spectral efficiencies.

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Energy efficiency optimisation in full‐duplex relay systems

Jiang

Lau

Chen

et al. 2015

Trans. Emerging Tel. Tech.

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Energy efficiency of relay communications has attracted much interest recently. Most research efforts have focused on half‐duplex systems. As there has been significant progress in practical implementation of self‐interference cancellation, full‐duplex systems will have a promising potential in the near future. In this letter, energy efficiency of a full‐duplex relay system under the total power constraint and fixed circuitry power consumption is studied. An optimisation problem is formulated towards maximising the system energy efficiency. Unfortunately, this problem is non‐trivial and cannot be solved by conventional fractional programming methods, such as the Dinkelbach's method. To resolve this issue, an algorithm called sequential parametric convex approximation‐Dinkelbach is proposed in this letter. Simulation results show that the proposed algorithm can converge to the global optimum very quickly. Copyright © 2015 John Wiley & Sons, Ltd.

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Energy Efficient MIMO Relay Transmissions via Joint Power Allocations

Cited by 94 publications

References 13 publications

Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Energy-Efficient Distributed Power Allocation With Multiple Relays and Antenna Selection

Energy efficiency optimisation in full‐duplex relay systems

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