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March 4, 2020 Faculty Seminar 2019 1
BER Analysis of Time switching
and Power splitting protocols in
Wireless cooperative
communication
-Bevek Subba
(ECE department)
What is cooperative communication?
Figure 1: Direct communication
Figure 2: Cooperative communication uses relay
March 4, 2020 Faculty Seminar 2019 3
UMTS capacity & coverage extension
Figure 3: Distributed relaying in UMTS
March 4, 2020 Faculty Seminar 2019 4
WLAN capacity & coverage extension
Figure 4: Coverage extension of indoor WLAN towards outdoor users [Dohler,2007]
March 4, 2020 Faculty Seminar 2019 5
Unmanned Aerial Vehicles
Figure 5: Distributed and cooperative UAVs acting as relays
March 4, 2020 Faculty Seminar 2019 6
Sensor network: A motivational factor
Figure 6: Distributed relaying sensor network for fire detection in forest [Akyildiz,2002]
March 4, 2020 Faculty Seminar 2019 7
SWIPT
• Nodes should be SWIPT enabled
• RF signal carries both energy and information simultaneously
• Two resources in communication: Time and Power
SWIPT: Simultaneous Wireless
Information and Power Transfer
Time switching Power Splitting
Zhang, 2012
March 4, 2020 Faculty Seminar 2019 8
Time switching
• Relay spends some time for EH and the remaining time for
information processing
S R Dhsr hrd
nsr nrd
Figure 7: Time switching protocol
Nasir, 2013
March 4, 2020 Faculty Seminar 2019 9
𝐸𝑡𝑠 = η. 𝑃𝑠. 𝑇. α. ℎ𝑠 𝑟
𝐸𝑡𝑠= Energy harvested at relay in time switching
η = Channel gain
𝑃 𝑠 = Transmitted power from source
𝑇 = Time block
α = Time allocated for energy harvesting
ℎ 𝑠𝑟 = Channel coefficient between source and relay
𝑃 𝑟=Transmitted power by relay
x =Transmitted signal
𝑥= Remodulated signal
𝑦 𝑟𝑑=Received signal at the receiver
𝑃 𝑟=
𝐸𝑡𝑠
(1−α)
𝑇
2
.
.
yrd= 𝑃 𝑟ℎ 𝑟𝑑 𝑥 + 𝑛 𝑟𝑑
March 4, 2020 Faculty Seminar 2019 10
Power splitting
• The relay uses portion of received power for energy harvesting and
the remaining power for information processing
Figure 8: Power splitting protocol
Nasir, 2013
March 4, 2020 Faculty Seminar 2019 11
𝐸 𝑝𝑠 = (η. ρ. 𝑃𝑠. 𝑇. ℎ𝑠𝑟)/2
𝐸 𝑝𝑠= Energy harvested at relay in power splitting
η = Channel gain
𝑃 𝑠 = Transmitted power from source
𝑇 = Time block
ρ = Portion of power for energy harvesting
ℎ 𝑠𝑟 = Channel coefficient between source and relay
𝑃 𝑟=Transmitted power by relay
x =Transmitted signal
𝑥= Re-modulated signal
𝑦 𝑟𝑑= Received signal at the receiver
𝑃 𝑟=Eps
.
.
yrd= Pr(1 − ρ)ℎ 𝑟𝑑 𝑥 + 𝑛 𝑟𝑑
March 4, 2020 Faculty Seminar 2019 12
BER graph
March 4, 2020 Faculty Seminar 2019 13
Future scope
• Outage Probability
• Consideration with random wireless channel
• Throughput
March 4, 2020 Faculty Seminar 2019 14
References
• http://perso.rd.francetelecom.fr/dohler/
• A.A. Nasir, X. Zhou, S. Durrani, R.A. Kennedy, Relaying protocols for wireless energy harvesting and
information processing, IEEE Trans. Wirel. Commun. 12 (7) (2013) 3622–3636.
• I.F.Akyildiz, W.Su. Y. Sankarasubramaniam, E. Cayiroi, “Wireless sensor network: A survey,” Computer
Networks, 34(4):393-422, March 2002
• T. D. Perera, D.N.K. Jayakody, “Analysis of time-switching and power-splitting protocols in wireless-powered
cooperative communication system, Physical Communication Elsevier (2018) 141-151
• L. Liu, R. Zhang, and K.-C. Chua, “Wireless information transfer with opportunistic energy harvesting,”
accepted for publication in IEEE Trans. Wireless Commun., 2012. Available: http://arxiv.org/abs/1204.2035
• D.N.K. Jayakody, J. Thompson, S. Chatzinotas, S. Durrani, Wireless Information and Power Transfer: A New
Paradigm for Green Communications, Springer- Verlag New York, USA, April 2018.
• D. Deng, M. Yu, J. Xia, Z. Na, J. Zhao, Q. Yang, Wireless powered cooperative communications with direct
links over correlated channels, Phys. Commun.28 (2018) 147–153.
• Y. Feng, V.C.M. Leung, F. Ji, Performance study for SWIPT cooperative communication systems in shadowed
Nakagami fading channels, IEEE Trans. Wirel. Commun. 17 (2) (2018) 1199–1211,
http://dx.doi.org/10.1109/TWC. 2017.2776933.
March 4, 2020 Faculty Seminar 2019 15

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Cooperativecomm.

  • 1. March 4, 2020 Faculty Seminar 2019 1
  • 2. BER Analysis of Time switching and Power splitting protocols in Wireless cooperative communication -Bevek Subba (ECE department)
  • 3. What is cooperative communication? Figure 1: Direct communication Figure 2: Cooperative communication uses relay March 4, 2020 Faculty Seminar 2019 3
  • 4. UMTS capacity & coverage extension Figure 3: Distributed relaying in UMTS March 4, 2020 Faculty Seminar 2019 4
  • 5. WLAN capacity & coverage extension Figure 4: Coverage extension of indoor WLAN towards outdoor users [Dohler,2007] March 4, 2020 Faculty Seminar 2019 5
  • 6. Unmanned Aerial Vehicles Figure 5: Distributed and cooperative UAVs acting as relays March 4, 2020 Faculty Seminar 2019 6
  • 7. Sensor network: A motivational factor Figure 6: Distributed relaying sensor network for fire detection in forest [Akyildiz,2002] March 4, 2020 Faculty Seminar 2019 7
  • 8. SWIPT • Nodes should be SWIPT enabled • RF signal carries both energy and information simultaneously • Two resources in communication: Time and Power SWIPT: Simultaneous Wireless Information and Power Transfer Time switching Power Splitting Zhang, 2012 March 4, 2020 Faculty Seminar 2019 8
  • 9. Time switching • Relay spends some time for EH and the remaining time for information processing S R Dhsr hrd nsr nrd Figure 7: Time switching protocol Nasir, 2013 March 4, 2020 Faculty Seminar 2019 9
  • 10. 𝐸𝑡𝑠 = η. 𝑃𝑠. 𝑇. α. ℎ𝑠 𝑟 𝐸𝑡𝑠= Energy harvested at relay in time switching η = Channel gain 𝑃 𝑠 = Transmitted power from source 𝑇 = Time block α = Time allocated for energy harvesting ℎ 𝑠𝑟 = Channel coefficient between source and relay 𝑃 𝑟=Transmitted power by relay x =Transmitted signal 𝑥= Remodulated signal 𝑦 𝑟𝑑=Received signal at the receiver 𝑃 𝑟= 𝐸𝑡𝑠 (1−α) 𝑇 2 . . yrd= 𝑃 𝑟ℎ 𝑟𝑑 𝑥 + 𝑛 𝑟𝑑 March 4, 2020 Faculty Seminar 2019 10
  • 11. Power splitting • The relay uses portion of received power for energy harvesting and the remaining power for information processing Figure 8: Power splitting protocol Nasir, 2013 March 4, 2020 Faculty Seminar 2019 11
  • 12. 𝐸 𝑝𝑠 = (η. ρ. 𝑃𝑠. 𝑇. ℎ𝑠𝑟)/2 𝐸 𝑝𝑠= Energy harvested at relay in power splitting η = Channel gain 𝑃 𝑠 = Transmitted power from source 𝑇 = Time block ρ = Portion of power for energy harvesting ℎ 𝑠𝑟 = Channel coefficient between source and relay 𝑃 𝑟=Transmitted power by relay x =Transmitted signal 𝑥= Re-modulated signal 𝑦 𝑟𝑑= Received signal at the receiver 𝑃 𝑟=Eps . . yrd= Pr(1 − ρ)ℎ 𝑟𝑑 𝑥 + 𝑛 𝑟𝑑 March 4, 2020 Faculty Seminar 2019 12
  • 13. BER graph March 4, 2020 Faculty Seminar 2019 13
  • 14. Future scope • Outage Probability • Consideration with random wireless channel • Throughput March 4, 2020 Faculty Seminar 2019 14
  • 15. References • http://perso.rd.francetelecom.fr/dohler/ • A.A. Nasir, X. Zhou, S. Durrani, R.A. Kennedy, Relaying protocols for wireless energy harvesting and information processing, IEEE Trans. Wirel. Commun. 12 (7) (2013) 3622–3636. • I.F.Akyildiz, W.Su. Y. Sankarasubramaniam, E. Cayiroi, “Wireless sensor network: A survey,” Computer Networks, 34(4):393-422, March 2002 • T. D. Perera, D.N.K. Jayakody, “Analysis of time-switching and power-splitting protocols in wireless-powered cooperative communication system, Physical Communication Elsevier (2018) 141-151 • L. Liu, R. Zhang, and K.-C. Chua, “Wireless information transfer with opportunistic energy harvesting,” accepted for publication in IEEE Trans. Wireless Commun., 2012. Available: http://arxiv.org/abs/1204.2035 • D.N.K. Jayakody, J. Thompson, S. Chatzinotas, S. Durrani, Wireless Information and Power Transfer: A New Paradigm for Green Communications, Springer- Verlag New York, USA, April 2018. • D. Deng, M. Yu, J. Xia, Z. Na, J. Zhao, Q. Yang, Wireless powered cooperative communications with direct links over correlated channels, Phys. Commun.28 (2018) 147–153. • Y. Feng, V.C.M. Leung, F. Ji, Performance study for SWIPT cooperative communication systems in shadowed Nakagami fading channels, IEEE Trans. Wirel. Commun. 17 (2) (2018) 1199–1211, http://dx.doi.org/10.1109/TWC. 2017.2776933. March 4, 2020 Faculty Seminar 2019 15