Wireless Networks with Energy Harvesting and Power Transfer: Joint Power and Time Allocation

In this paper, we propose joint sequencing and scheduling optimization for uplink machine-type communication (MTC). We consider multiple energy-constrained MTC devices that transmit data to a base station following the time division multiple access (TDMA) protocol. Conventionally, the energy efficiency performance in TDMA is optimized through multi-user scheduling, i.e., changing the transmission block length allocated to different devices. In such a system, the sequence of devices for transmission, i.e., who transmits first and who transmits second, etc., has not been considered as it does not have any impact on the energy efficiency. In this work, we consider that data compression is performed before transmission and show that the multi-user sequencing is indeed important. We apply three popular energy-minimization system objectives, which differ in terms of the overall system performance and fairness among the devices. We jointly optimize both multi-user sequencing and scheduling along with the compression and transmission rate control. Our results show that multi-user sequence optimization significantly improves the energy efficiency performance of the system. Notably, it makes the TDMA-based multi-user transmissions more likely to be feasible in the lower latency regime, and the performance gain is larger when the delay bound is stringent.

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“…1. We assume perfect synchronization among devices, which is in line with recent works [6], [9][10][11], [25].…”

Section: System Modelmentioning

confidence: 88%

“…where ς is the scale parameter for the pdf . We assume that the instantaneous channel gain for each device is perfectly estimated by the BS, which is a reasonable assumption when the BS has no constraint on energy and data processing capability [6], [9], [10], [27].…”

Section: System Modelmentioning

confidence: 99%

Sequencing and Scheduling for Multi-User Machine-Type Communication

Alvi

Zhou

Durrani

et al. 2020

IEEE Trans. Commun.

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“…Rayleigh fading with average channel power gains Ω S , Ω R , Ω D , and Ω E , respectively. Further, we assumed that maximal ratio combining (MRC) scheme is adopted at D and E Two time phases are required to complete the transmission from S to D that include α (0 ≤ α ≤ 1) portion for EH and 1 − α portion for information transmissions (IT) [38]. In EH phases, S harvests the energy from the RF signal received from P T by utilizing all antennas, and stores the harvested energy in an infinite capacity buffer 1 .…”

Section: System Modelmentioning

confidence: 99%

On Secure Underlay MIMO Cognitive Radio Networks With Energy Harvesting and Transmit Antenna Selection

Lei

Ansari

et al. 2017

IEEE Trans. on Green Commun. Netw.

117

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“…The harvested energy is environmentally friendly as it can greatly reduce carbon emissions and enable the energy-limited sensor node or low-power devices to operate continuously without periodic battery replacements [2]. Energy harvesting from radio frequency (RF) signals is more controllable and reliable than other ambient renewable resources, such as solar and wind; thus it is able to provide relatively stable power to wireless communication networks [3].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Design for Secure MISO Cognitive Radio Network Based on a Nonlinear EH Model

et al. 2018

Mathematical Problems in Engineering

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In this work, we investigate the secrecy energy efficiency (SEE) optimization problem for a multiple-input single-output (MISO) cognitive radio (CR) network based on a practical nonlinear energy-harvesting (EH) model. In particular, the energy receiver (ER) is assumed to be a potential eavesdropper due to the open architecture of a CR network with simultaneous wireless information and power transfer (SWIPT), such that the confidential message is prone to be intercepted in wireless communications. The aim of this work is to provide a secure transmit beamforming design while satisfying the minimum secrecy rate target, the minimum EH requirement, and the maximum interference leakage power to primary user (PU). In addition, we consider that all the channel state information (CSI) is perfectly known at the secondary transmitter (ST). We formulate this beamforming design as a SEE maximization problem; however, the original optimization problem is not convex due to the nonlinear fractional objective function. To solve it, a novel iterative algorithm is proposed to obtain the globally optimal solution of the primal problem by using the nonlinear fractional programming and sequential programming. Finally, numerical simulation results are presented to validate the performance of the proposed scheme.

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Wireless Networks with Energy Harvesting and Power Transfer: Joint Power and Time Allocation

Cited by 100 publications

References 14 publications

Sequencing and Scheduling for Multi-User Machine-Type Communication

Sequencing and Scheduling for Multi-User Machine-Type Communication

On Secure Underlay MIMO Cognitive Radio Networks With Energy Harvesting and Transmit Antenna Selection

Energy Efficiency Design for Secure MISO Cognitive Radio Network Based on a Nonlinear EH Model

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