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Overlay Network with Non-orthogonal Multiple Access and Energy Harvesting: Performance Evaluation

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Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

This paper studies an overlay network with non-orthogonal multiple access (NOMA) wherein the far-licensed NOMA user is assisted by either the near-licensed NOMA user or the unlicensed source to maintain its communications with the licensed NOMA transmitter. Both the near-licensed NOMA user and the unlicensed source implement practical nonlinear energy harvesters to meliorate energy efficiency. The performance metrics of the proposed overlay network with NOMA and EH (ONwNOMAEH) such as energy efficiency, system throughput, and outage probability are analysed in an explicit form. Multiple results expose the effectiveness and the flexibly adjusted performance of the proposed ONwNOMAEH.

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Data Availability

Data are contained within the article.

Notes

  1. SINR represents signal-to-interference plus noise ratio.

  2. In this research, the focus is on a specific case where \(\text {L}_n\) performs the recovery of \(x_n\) only if \(\text {L}_n\) has accurately recovered \(x_f\). The criterion for determining whether \(\text {L}_n\) has successfully restored \(x_f\) precisely is going to be explained later. As a consequence of this accurate restoration of \(x_f\), the interference that would normally remain after suppressing \(x_f\) from the received signal \({{\hat{y}}_n}\) is neglected in this research. In other words, the interference that might arise due to imperfect SIS, as considered in some other works (e.g. Nguyen (2022); Vu (2022); Shukla (2022); Nguyen (2023); Shukla (2023)), is not present in this paper.

  3. SNR represents signal-to-noise ratio.

  4. Since Phase 1 lasts \(\beta T\), the channel capacity corresponding to the SNR \(\gamma \) is \(\beta {\log _2}\left( {1 + \gamma } \right) \). In the communication theory, the receiver implements successful decoding if the channel capacity is greater than the target spectral efficiency C, i.e. \(\gamma \ge {\gamma _0} = {2^{C/\beta }} - 1\).

  5. Note that \(\frac{{1 - \delta }}{\delta } \rightarrow \infty \) when \(\delta \rightarrow 0\). In this extreme case (\(\delta \rightarrow 0\)), the inequality \({\frac{{1 - \delta }}{\delta } > {\Upsilon _f}}\) always holds, leading to no complete outage.

  6. Since Phase 2 lasts \((1-\beta ) T\), the channel capacity corresponding to the SNR \(\gamma \) is \((1-\beta ) {\log _2}\left( {1 + \gamma } \right) \). In the communication theory, the receiver implements successful decoding if the channel capacity is greater than the target spectral efficiency C, i.e. \(\gamma \ge {\gamma _0} = {2^{C/(1-\beta ) }} - 1\).

  7. The system throughput and the average energy efficiency are computed directly from the outage probability. As such, this section illustrates only the OP results.

  8. It is noted that without the aid of \(L _n\) and \(U _s\), a complete outage always happens to \(L _f\). Therefore, the proposed ONwNOMAEH can maintain communications of \(L _f\) with the licensed transmitter without suffering a complete outage (\(\Lambda _f < 1\)).

  9. The CCDF of \({Z_{vu}}\) is obviously \({\bar{F}_{{Z_{vu}}}}\left( z \right) = 1 - {F_{{Z_{vu}}}}\left( z \right) \).

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Acknowledgements

We acknowledge the support of time and facilities from Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, for this study.

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  1. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

    Khuong Ho-Van

  2. Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam

    Khuong Ho-Van

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Ho-Van, K. Overlay Network with Non-orthogonal Multiple Access and Energy Harvesting: Performance Evaluation. Iran J Sci Technol Trans Electr Eng (2024). https://doi.org/10.1007/s40998-024-00706-0

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