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Backscatter Assisted NOMA-PLNC Based Wireless Networks.

Samikkannu Rajkumar1,2, Dushantha Nalin K Jayakody1,2

  • 1Centre for Telecommunication Research, School of Engineering, Sri Lanka Technological Campus, Padukka 10500, Sri Lanka.

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Summary
This summary is machine-generated.

Ambient backscattering (ABS) enhances non-orthogonal multiple access (NOMA) wireless networks by improving far node signal strength. This study optimizes power for sum capacity, demonstrating improved outage and bit error rate performance.

Keywords:
ambient backscatteringnon-orthogonal multiple accessphysical layer network coding

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Area of Science:

  • Wireless Communication Networks
  • Signal Processing
  • Information Theory

Background:

  • Non-orthogonal multiple access (NOMA) enables simultaneous transmission to multiple users, but faces challenges in capacity and performance, especially for distant users.
  • Ambient backscattering (ABS) offers a low-power communication paradigm, potentially enhancing existing wireless networks by harvesting ambient radio frequency signals.
  • Internet of Things (IoT) deployments require efficient and reliable wireless connectivity, necessitating advancements in network capacity and performance.

Purpose of the Study:

  • To maximize the sum capacity of a NOMA-based wireless network integrated with ambient backscattering (ABS).
  • To enhance the performance of far users in a NOMA network by leveraging ABS and successive interference cancellation (SIC).
  • To analyze and improve the end-to-end outage and average bit error rate (BER) performance of the proposed integrated network.

Main Methods:

  • Integration of ABS with NOMA, where ABS nodes are positioned to boost far node signal strength.
  • Application of successive interference cancellation (SIC) to enable far nodes to function as IoT readers.
  • Implementation of physical layer network coding (PLNC) for improved uplink performance.
  • Power optimization at the access point (AP) using Lagrangian's function, subject to total transmit power and minimum data rate constraints.
  • Analytical evaluation of end-to-end outage probability and average bit error rate (BER).

Main Results:

  • The proposed network demonstrates significantly improved outage performance due to the integration of ABS.
  • The use of ABS enhances the signal strength for the far node cluster, improving overall network efficiency.
  • Power optimization effectively enhances downlink performance under specified constraints.
  • The average BER performance is analyzed, indicating improved reliability of the wireless network.

Conclusions:

  • Integrating ABS into NOMA networks is an effective strategy for enhancing sum capacity and improving signal strength for far users.
  • The proposed system, incorporating ABS, SIC, and PLNC, achieves superior outage and BER performance compared to conventional NOMA systems.
  • The analytical framework and simulation results validate the benefits of ABS for future wireless communication and IoT applications.