Analysis of RF Energy Harvesting in Uplink-NOMA IoT-Based Network

Ni, Zhou; Chen, Ziru; Zhang, Qinbo; Zhou, Chi

doi:10.1109/vtcfall.2019.8891557

Cited by 18 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The considered system model in Figure 1 comprises of a base station (BS), two destinations (U 1 , U 2 ) and a power splitting-based EH relay [18]- [21]. The channel gains h ab for link from node a to node b corresponding exponential distribution with means λ ab .…”

Section: System Model and Snr Computation 21 System Modelmentioning

confidence: 99%

Implement of multiple access technique by wireless power transfer and relaying network

2021

Bulletin EEI

View full text Add to dashboard Cite

In this paper, we investigate non-orthogonal multiple access (NOMA) network relying on wireless power transfer to prolong lifetime. The base station (BS) sends common signals to the relay with two functions (energy harvesting (EH) and signal processing) to further serve two NOMA users in downlink. Performance gap exists since different power allocation factor assigned from power splitting protocol adopted at the relay and such relay employs both amplify-and-forward (AF) and decode-and-forward schemes. To provide performance metrics, we prove formulas of the outage probability which is a function of transmit signal to noise ratio. Simulation results indicate specific parameters to adjust system performance of two user in the considered EH-NOMA system. This finding is important recommendation to design EH-NOMA which shows particular outage performance at required target rates.

show abstract

Section: System Model and Snr Computation 21 System Modelmentioning

confidence: 99%

Implement of multiple access technique by wireless power transfer and relaying network

2021

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…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%

“…Uplink energy efficient internet of things (IoT) NOMA based network which uses RF energy harvesting technology is given in [36]. Here, an efficient NOMA system is proposed which elaborates on the effect of energy harvesting radius against the user equipment density.…”

Section: Radio Frequency (Rf) Energy Harvestingmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

“…Therein, aggregators are employed to relay the NOMA transmissions from the IoT devices to the BS. The authors of [13] analyze RF energy harvesting based cellular IoT networks under the PPP setting. The IoT devices first harvest energy using downlink signals and then perform the data transmission in uplink using NOMA.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Rate NOMA for Cellular IoT Networks

Sreya¹,

Saigadha²,

Mankar³

et al. 2021

Preprint

View full text Add to dashboard Cite

Internet-of-Things (IoT) technology is envisioned to enable a variety of real-time applications by interconnecting billions of sensors/devices deployed to observe some random physical processes. These IoT devices rely on low-power widearea wireless connectivity for transmitting, mostly fixed-but small-size, status updates of their associated random processes. The cellular networks are seen as a natural candidate for providing reliable wireless connectivity to IoT devices. However, the conventional orthogonal multiple access (OMA) to these massive number of devices is expected to degrade the spectral efficiency. As a promising alternative to OMA, the cellular base stations (BSs) can employ non-orthogonal multiple access (NOMA) for the uplink transmissions of mobile users and IoT devices. In particular, the uplink NOMA can be configured such that the mobile user can adapt transmission rate based on its channel condition while the IoT device transmits at a fixed rate.For this setting, we analyze the ergodic capacity of mobile users and the mean local delay of IoT devices using stochastic geometry. Our analysis demonstrates that the above NOMA configuration can provide better ergodic capacity for mobile users compare to OMA when IoT devices' delay constraint is strict. Furthermore, we also show that NOMA can support a larger packet size for IoT devices than OMA under the same delay constraint.

show abstract

Analysis of RF Energy Harvesting in Uplink-NOMA IoT-Based Network

Cited by 18 publications

References 16 publications

Implement of multiple access technique by wireless power transfer and relaying network

Implement of multiple access technique by wireless power transfer and relaying network

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

Adaptive Rate NOMA for Cellular IoT Networks

Contact Info

Product

Resources

About