Energy efficient resource allocation for machine-to-machine communications with NOMA and energy harvesting

Yang, Zhaohui; Pan, Yijin; Xu, Wei; Guan, Rui; Wang, Yinlu; Chen, Ming

doi:10.1109/infcomw.2017.8116367

Cited by 19 publications

(13 citation statements)

References 28 publications

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“…The above-mentioned energy consumption models, considered in [1], [8]- [10], [17]- [19], [28]- [31], are only concerned with the RF transmission power and ignore the circuit power consumption of MTCDs and MTCGs. However, as stated in [36], the circuit power consumption is non-negligible compared to RF transmission power.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT

Yang

Pan

et al. 2018

IEEE Internet Things J.

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172

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Abstract-This paper studies energy efficient resource allocation for a machine-to-machine (M2M) enabled cellular network with non-linear energy harvesting, especially focusing on two different multiple access strategies, namely non-orthogonal multiple access (NOMA) and time division multiple access (TDMA). Our goal is to minimize the total energy consumption of the network via joint power control and time allocation while taking into account circuit power consumption. For both NOMA and TDMA strategies, we show that it is optimal for each machine type communication device (MTCD) to transmit with the minimum throughput, and the energy consumption of each MTCD is a convex function with respect to the allocated transmission time. Based on the derived optimal conditions for the transmission power of MTCDs, we transform the original optimization problem for NOMA to an equivalent problem which can be solved suboptimally via an iterative power control and time allocation algorithm. Through an appropriate variable transformation, we also transform the original optimization problem for TDMA to an equivalent tractable problem, which can be iteratively solved. Numerical results verify the theoretical findings and demonstrate that NOMA consumes less total energy than TDMA at low circuit power regime of MTCDs, while at high circuit power regime of MTCDs TDMA achieves better network energy efficiency than NOMA.Index Terms-Internet of Things (IoT), machine-to-machine (M2M), non-orthogonal multiple access (NOMA), energy harvesting, resource allocation.

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Section: Introductionmentioning

confidence: 99%

Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT

Yang

Pan

et al. 2018

IEEE Internet Things J.

Self Cite

172

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“…Power domain Resource allocation [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] Energy harvesting and transfer [36][37][38][39][40][41][42][43][44][45][46][47][48][49] Interference cancellation techniques [50][51][52][53][54][55] Sleep/wake modes [56][57][58][59][60] Code domain Sparse code multiple access (SCMA) [61,62] Space time block coding (STBC) [56,63] Polar codes [64][...…”

Section: Domain Technology Citationsmentioning

confidence: 99%

“…This is specially effective for systems with low and medium interference. The authors of [40] address the challenge of enhancing the energy efficiency of a M2M communication network, where energy is limited. Here the uplink scenario is considered and energy efficiency enhancement is achieved by combining both power control and time scheduling schemes.…”

Section: Radio Frequency (Rf) Energy Harvestingmentioning

confidence: 99%

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally.The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.

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“…The authors considered non-linear EH model, where secondary users either harvest energy or decode information. The authors in [16] and [17] considered wireless power transfer and NOMA in machine-tomachine communication, where machine-type communication device harvests energy in the downlink while transmits arXiv:1803.09225v2 [cs.IT] 23 Jun 2018 information to BS via machine-type communication gateway in the uplink. In all the above works [11]- [17], the authors assume single antenna nodes and consider a simple power allocation problem.…”

Section: B Literature Surveymentioning

confidence: 99%

NOMA Throughput and Energy Efficiency in Energy Harvesting Enabled Networks

Nasir

Tuan

Debbah

2019

IEEE Trans. Commun.

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Wireless power transfer via radio-frequency (RF) radiation is regarded as a potential solution to energize energy-constrained users, who are deployed close to the base stations (near-by users). However, energy transfer requires much more transmit power than normal information transfer, which makes it very challenging to provide the quality of service in terms of throughput for all near-by users and cell-edge users. Thus, it is of practical interest to employ non-orthogonal multiple access (NOMA) to improve the throughput of all network users, while fulfilling the energy harvesting requirements of the near-by users. To realize both energy harvesting and information decoding, we consider a transmit time-switching (transmit-TS) protocol. We formulate two important beamfoming problems of users' max-min throughput optimization and energy efficiency maximization under power constraint and energy harvesting thresholds at the nearly-located users. For these problems, the optimization objective and energy harvesting are non-convex in beamforming vectors. Thus, we develop efficient path-following algorithms to solve them. In addition, we also consider conventional power splitting (PS)-based energy harvesting receiver. Our numerical results confirm that the proposed transmit-TS based algorithms clearly outperform PS-based algorithms in terms of both, throughput and energy efficiency.Index Terms-Wireless power transfer, energy harvesting, non-orthogonal multiple access (NOMA), nonconvex optimization, throughput, energy efficiency, quality-of-service (QoS).

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Energy efficient resource allocation for machine-to-machine communications with NOMA and energy harvesting

Cited by 19 publications

References 28 publications

Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT

Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

NOMA Throughput and Energy Efficiency in Energy Harvesting Enabled Networks

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