Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems

Khodamoradi, Vahid; Sali, Aduwati; Messadi, Oussama; Salah, Asem A.; Al-Wani, Mohanad M.; Ali, Borhanuddin Mohd; Abdullah, Rusli

doi:10.1109/access.2020.3037530

Cited by 16 publications

(16 citation statements)

References 37 publications

(63 reference statements)

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“…For instance, there is only a small throughput enhancement of 0.01 bps/Hz with M goes from 32 to 64 antennas when P PB = 15 dB. These remarks match prior studies investigating the effect of the transmitter antennas number on the system performance [6,8,9], where the higher number of antennas at the transmitter side will be grantee more degree of freedom (DoF), which enhance the beamforming efficiency.…”

Section: Numerical Results and Discussionsupporting

confidence: 80%

“…The PB equipped with multiantennas performs zero-forcing (ZF) precoder. This allows PB to design their beams to eliminate multiuser interference [ 6 , 8 , 32 ]. The multiuser interference term

is zero, thus the harvested energy at the S and N relay candidates given by

where

denotes the energy harvesting conversion efficiency factor, and

is the duration time of the PB broadcasting the RF signal.…”

Section: System Modelmentioning

confidence: 99%

“…The PB equipped with multiantennas performs zero-forcing (ZF) precoder. This allows PB to design their beams to eliminate multiuser interference [6,8,32]. The multiuser interference term…”

Section: Signal Modeling 221 Energy Beamforming Phasementioning

confidence: 99%

“…Present research interested in enabling the WPC in massive MIMO system focuses primarily on beamforming schemes design, where a portion of time slot was reserved for energy transfer and information transmission [ 6 , 7 , 8 , 9 ]. Moreover, in cooperative communication and relay selection, the distances between transmitter and receiver will significantly reduce, which made wireless power cooperative communication networks (WPCCN) an important technology that can efficiently combat signal propagation losses for information transmission and wireless energy [ 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks

Messadi

Sali

Khodamoradi

et al. 2020

Sensors

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Unlike the fixed power grid cooperative networks, which are mainly based on the reception reliability parameter while choosing the best relay, the wireless-powered cooperative communication network (WPCCN) and in addition to the reception reliability the transmission requirement consideration is important for relay selection schemes. Hence, enabling efficient transmission techniques that address high attenuation of radio frequency (RF) signals according to the distance without increasing the total transmission power is an open issue worth studying. In this relation, a multiantennas power beacon (PB) that assists wireless-powered cooperative communication network (PB-WPCCN) is studied in this paper. The communication between source and destination is achieved with the aid of multiple relays, where both the source and the multiple relays need to harvest energy from the PB in the first place to enable their transmission functionalities. A novel relay selection scheme is proposed, named as two-round relay selection (2-RRS), where a group of relays that successfully decode the source information is selected in the first round selection. In the second round, the optimal relay is selected to forward the recorded information to the destination. The proposed 2-RRS scheme is compared with two existing relay selection schemes, i.e., partial relay selection (PRS) and opportunistic relay selection (ORS). The analytical closed-form expressions of outage probability and average system throughput are derived and validated by numerical simulation. The comparison results between different relay selection schemes show: (I) The superiority of the proposed 2-RRS scheme as it achieves around 17% better throughput compared to the conventional ORS scheme and 40% better than the PRS scheme, particularly when PB transmit power is 10 dB; (II) The proposed 2-RRS scheme guarantees the lowest outage probability, especially when the PB is equipped with multiantennas and performs beamforming technique; (III) The optimal localisation of the PB between the source and N relays depends on the adopted relay selection scheme; (IV) The exhaustive search of the maximum system throughput value shows that the proposed 2-RRS scheme required shorter energy harvesting time compared to other schemes. The increase in energy harvesting time and number of relays do not necessarily reflect positively on the system throughput performance; hence tradeoffs should be taken into consideration.

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Section: Numerical Results and Discussionsupporting

confidence: 80%

“…The PB equipped with multiantennas performs zero-forcing (ZF) precoder. This allows PB to design their beams to eliminate multiuser interference [ 6 , 8 , 32 ]. The multiuser interference term

is zero, thus the harvested energy at the S and N relay candidates given by

where

denotes the energy harvesting conversion efficiency factor, and

is the duration time of the PB broadcasting the RF signal.…”

Section: System Modelmentioning

confidence: 99%

“…The PB equipped with multiantennas performs zero-forcing (ZF) precoder. This allows PB to design their beams to eliminate multiuser interference [6,8,32]. The multiuser interference term…”

Section: Signal Modeling 221 Energy Beamforming Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks

Messadi

Sali

Khodamoradi

et al. 2020

Sensors

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“…Therefore, optimizing the EE of massive MIMO systems has become an important research direction in the field of wireless communication [6,7]. At present, researchers have studied the optimization of the EE of the massive MIMO system by selecting the antenna, adjusting transmission power and multiparameter joint optimization [8].…”

Section: Introductionmentioning

confidence: 99%

On the Energy Efficiency of Multicell Massive MIMO with Antenna Selection and Power Allocation

Tan

et al. 2022

Wireless Communications and Mobile Computing

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The energy consumption of massive multiple-input multiple-output (MIMO) systems increases with the number of antennas. Optimizing the energy efficiency (EE) of massive MIMO systems is one of the ways to achieve green communication. This paper proposes an EE optimization method that genetic algorithm-based antenna selection and power allocation (GA-AS+PA) for the downlink of a multicell massive MIMO system under the restriction of the users’ sum-rate. First, we use the genetic algorithm to determine the active transmitting antenna of each base station (BS). Then, the transmission power for each user is allocated using the convex optimization method. Finally, the EE of system is optimized under the achieved optimum BS’s transmit power and the number of active antennas. From the simulation results, the GA-AS+PA method can improve the EE of the system while meeting user sum-rate requirements, which achieves better performance compared with random antenna selection+equal power allocation method (RAS+EPA), random antenna selection+power allocation method (RAS+PA), the antenna selection method based on genetic algorithm+equal power allocation method (GA-AS+EPA), and equal power allocation (EPA) these four methods. The EE of the proposed GA-AS+PA method is improved by 33.3% compared to the EPA method.

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New Hybrid Architecture for Energy Efficient and Low Complex Massive MIMO System

2021

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Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems

Cited by 16 publications

References 37 publications

Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks

Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks

On the Energy Efficiency of Multicell Massive MIMO with Antenna Selection and Power Allocation

New Hybrid Architecture for Energy Efficient and Low Complex Massive MIMO System

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