performance analysis of wireless powered communication

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Performance Analysis of Wireless Powered Communication Networks (WPCNs) with Imperfect CSI and Nonlinear Energy Harvesters Danyang Wang MSc Final Examination Department of Electrical and Computer Engineering University of Alberta 24 th August 2020

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Performance Analysis of Wireless Powered Communication Networks (WPCNs) with Imperfect

CSI and Nonlinear Energy Harvesters

Danyang Wang

MSc Final Examination

Department of Electrical and Computer EngineeringUniversity of Alberta

24th August 2020

Outline

❑ Radio Frequency (RF) Energy Harvesting

❑ Major Contributions

❑ Conclusion and Future Research

▪ Analysis of Imperfect Channel State Information (CSI)

▪ Two New Nonlinear EH Models

2

RF energy harvesting

Energy sourceInformation gateway

3

RF Energy Sources

Cellular Base Stations

FM & AM Transmitters

Satellite Transmitters

Wireless Routers

Radar

1.78W, 868MHz [1]

25m

2.3𝜇W

[1] X. Lu et al , “Wireless network with RF energy harvesting: A contemporary survey,” IEEE Commun. Surveys. Tuts.

Problem 1 - imperfect channel state information?

h = 𝜌h + 1 − 𝜌2n

True channelh −h −CSI𝜌 − Correlation coefficient

n − Noise

where

• 𝜌 = 1 Perfect CSI

• 0 ≤ 𝜌 < 1 Imperfect CSI

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DL Energy Transfer

UL Data TransferHybrid AP

User

h

g

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Negative effects for non-EH links

Imperfect CSI effects:

• Diversity gain loss

• Coding gain loss

Maximal ratio combining (MRC)

Transmitter: single antenna

Receiver: 4 antennas

Transmitter

Receiver

[1] W. Huang et al , “On the performance of multi-antenna wireless-powered communications with energy beamforming,” TVT 2016. [2] N. Deepan et al, “On the performance of wireless powered communication networks over generalized κ-μ fading channels,” Physical Communication. 2019.[3] A. Almradi, “Information and energy beamforming in MIMO wireless powered systems,” in Proc. GLOBE-COM, 2016.[4] G. Yang et al , “Throughput optimization for massive MIMO systems powered by wireless energy transfer,” IJSAC 2015.[5] Y. Wu et al, “Robust resource allocation for secrecy wireless powered communication networks,” COML,, 2016.[6] Y. Liu, K.-W. Chin, and C. Yang, “Uplinks schedulers for RF-energy harvesting networks with imperfect CSI,” TVT, 2020.

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• Some imperfect CSI for optimization, but no performance analysis [4-6].

State of the art of imperfect CSI on WPCNs

• Most works - perfect CSI but not imperfect CSI [1-3].

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Contributions

• Statistical distribution functions of received SNR at AP

• Performance analysis

• Asymptotic analysis in high SNR region

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SNR at the AP

𝛾𝐴 = 𝑐 ҧ𝛾∥መ𝐡𝑯𝐡∥𝟐

መ𝐡𝐻መ𝐡

∥ො𝐠𝐻𝐠∥𝟐

ො𝐠𝐻ො𝐠

where c =𝜏𝜂

1−𝜏, ҧ𝛾 =

𝑃

𝜎2.

Hybrid AP

User

DL Energy Transfer

h

UL Data Transfer

g

Maximal ratio transmission (MRT) with 𝐟 =መ𝐡

መ𝐡.

MRC with combining weight vector ො𝐠𝐻.

Energy harvested at the user: 𝐸ℎ = 𝜂𝜏 𝑃𝐟𝐻𝐡2

= 𝜂𝜏𝑃∥መ𝐡𝑯𝐡∥𝟐

መ𝐡𝐻መ𝐡.

Received signal at the AP: 𝑦𝐴 =𝐸ℎ

1−𝜏𝐠𝑠 + 𝐧.

𝜏 = energy transfer time fraction𝜂 = energy conversion efficiency𝑃 = transmit power of AP𝜎2 = noise power

Average Throughput

Delay-limited

Delay-tolerant

ReliabilityBER

SER

codeword

codeword codeword

Transmission block

buffer

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Average throughput

PDF of SNR (𝛾𝐴) at the APCDF of 𝛾𝐴 at the AP

Average throughput of delay-limited mode

where R is transmission rate.

where 𝛾𝑡ℎ = 2𝑅 − 1.

expresses 𝐾𝑣 ∙ in terms of Meijer G-function 𝐺2002 ∙ → calculate integral→ (b)

where 𝐾𝑣 ∙ is modified Bessel function of the second kind.

Numerical results

• More antenna, larger throughput

• Better CSI, larger throughput

Delay-limited throughput mode versus SNR ഥ𝛾 for 𝜏 =0.4, 𝜂 = 0.6, and 𝑅 = 0.5 bits/s/Hz.

• Higher SNR, larger throughput

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Numerical results

Delay-limit throughput versus EH time 𝜏 for 𝑃 = 10 dBm and 𝑁 = 3.

• Larger energy conversion efficiency, better throughput

• Optimal throughput depends on quality of CSI

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• Better CSI, larger throughput

Problem 2 – EH circuits are not linear!

Figure: S. Bi, et. al, “Wireless powered communication networks: An overview,” IEEE Wireless Commun., 2016.12

Problems of linear EH model

• Widely used

• Overly simplistic

• Inaccurate

• Design issues

[1] T. Le, K. Mayaram et.al, “Efficient far-field radio frequency energy harvesting for passively powered sensor networks,” IEEE J.Solid-State Circuits, 2008.

0

2

4

6

8

10

12

0 100 200 300 400 500 600

Har

ves

ted P

ow

er (

Mic

row

att)

Input Power (Microwatt)

Measurement Data[1] Linear Model

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New nonlinear EH model (NLEH)

• Newly proposed

• Three parameters

• Accurate

• Asymptotic version0

2

4

6

8

10

12

0 100 200 300 400 500 600

Har

ves

ted P

ow

er (

Mic

row

att)

Input Power (Microwatt)

Measurement Data Linear Model New Nonlinear Model

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Nonlinear EH models

NLEH

Asymptotic Model (AM)

where 𝑎, 𝑏, and 𝑃max are parameters.

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Comparison of nonlinear EH models

• Piece-wise model[1]

• Rational model (RM)[2]

• Sigmoid model[3]

• NLEH

• AM

RMSE= ∑ 𝑥𝑘 − 𝑦𝑘2

𝑥𝑘 = model 𝑦𝑘 = measured

[1] Y. Dong et al, “Performance of wireless powered amplify and forward relaying over Nakagami-m fading channels with nonlinear energy harvester,” IEEE Commun. Lett., 2016.[2] Y. Chen et al, “New formula for conversion efficiency of RF EH and its wireless applications,” IEEE Trans. Veh. Technol., 2016.[3] E. Boshkovska, et al, “Practical non-linear energy harvesting model and resource allocation for SWIPT systems,” IEEE Commun. Lett., 2015.

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Comparison of Nonlinear EH Models

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Piece-wise RM Sigmoid NLEH AM

RM

SE

NLEH achieves the minimum RMSE

System model

Power station

Information

receiving station

Wireless device

Power station (PS) : N ≥ 1 antennas

Wireless device (WD): single antenna

Information receiving station (IRS): M ≥ 1 antennas

Average throughput

BER

Performance:

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Average throughput

SNR at the IRS

where 𝜏 = energy harvesting time, 𝜂 = power amplify efficiency,Ω2 = path loss factor, 𝐺𝑊𝐷 = antenna gain of WD,𝐺𝐼𝑅𝑆 = antenna gain of IRS, and 𝜎2 = noise power.

Average throughput of delay-tolerant mode

where ത𝑃𝑡 is the input power at WD with antenna gains and path loss. 𝐼𝑛 ∙ is given in Appendix B.2.

Integration → Generalized Gauss-Laguerre quadrature

Numerical results

Average throughput of the delay-tolerant mode versus 𝑃𝑡, 𝜏 =0.6, 𝑁 = 2, and 𝑀 = 2. The markers represent simulation points.

• 𝑃𝑡 → ∞,nonlinear models have saturation.

• 𝑃𝑡 → ∞, linear model increases without bound.

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Numerical results

Average throughput of the delay-tolerant mode versus N for 𝑃𝑡 = −15 dBm, , 𝜏 = 0.7, 𝜂 = 0.6, and 𝑀 = 2. The markers represent simulation points.

• More antenna, better throughput.

• LM, no saturation.

• N > 7, throughput flatten.

Conclusion

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➢ In WPCN

➢ EH models

• Proposed NLEH & AM to model energy harvesters.• Demonstrated the superiority of NLEH and AM by comparing

RMSE with sigmoid, piece-wise, and RM.• Derived delay-limited throughput, delay-tolerant throughput,

and BER for NLEH, AM, LM, and RM.

• Derived exact & asymptotic OP for delay-limited throughputand EC for delay-tolerant throughput.

• Derived exact & asymptotic BER and SER.

Future research

➢ Imperfect CSI with non-orthogonal multiple access (NOMA) assisted WPCNs.

➢NLEH model in simultaneous wireless information and power transfer (SWIPT) systems.

➢MIMO WPCN systems.

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Thank You!

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