NOMA performance enhancement-based imperfect SIC minimization using a novel user pairing scenario involving three users in each pair

Miandoab, Farid Tabee; Tazehkand, Behzad Mozaffari

doi:10.1007/s11276-020-02300-8

Cited by 15 publications

(10 citation statements)

References 29 publications

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“…From results, it can be observed that due to the robustness of the deep neural network it can tackle the ISI effectively and it can easily obtain the channel state information based on the available training data. [28][29][30] The deep neural network's performance is like the performance of the maximum likelihood estimator when the channel conditions are ideal, i.e., perfectly estimated channel and no ISI. However, the system performance is not acceptable for fading channel conditions and it indicates performance degradation encountered by the deep neural network during the calculation of the phase shift.…”

Section: Simulation Resultsmentioning

confidence: 99%

Analysis of NOMA-OFDM 5G wireless system using deep neural network

Pandya

Wakchaure²,

Shankar³

et al. 2021

Journal of Defense Modeling & Simulation

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In this work, a multiple user deep neural network-based non-orthogonal multiple access (NOMA) receiver is investigated considering channel estimation error. The decoding of the symbol in the case of the NOMA system follows the sequential order and decoding accuracy depends on the detection of the previous user. Without estimating the throughput, a deep neural network-based NOMA orthogonal frequency division multiplexing (OFDM) system is proposed to decode the symbols from the users. Firstly, the deep neural network is trained. Secondly, the data are trained and lastly, the data are tested for various users. In this work, for various values of signal to noise ratio, the performance of the deep neural network is investigated, and the bit error rate (BER) is calculated on a per subcarrier basis. The simulation results show that the deep neural network is more robust to symbol distortion due to inter-symbol information and will obtain knowledge of the channel state information using data testing.

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Section: Simulation Resultsmentioning

confidence: 99%

Analysis of NOMA-OFDM 5G wireless system using deep neural network

Pandya

Wakchaure²,

Shankar³

et al. 2021

Journal of Defense Modeling & Simulation

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“…In consequence, imperfect SIC, where the residual interference (RI) from imperfectly decoded users remains while decoding later users should be considered [10], [11]. In the NOMA literature, some researchers have considered a fixed value of RI [12], [13] while many have taken RI as a linear function of the interfering power [9], [10], [14]. However, despite its significance, analyzing the outage performance of an untrusted NOMA system with imperfect SIC has not received much attention yet.…”

Section: B Motivation and Key Contributionsmentioning

confidence: 99%

Untrusted NOMA with Imperfect SIC: Outage Performance Analysis and Optimization

Thapar

Mishra

Saini

2022

2022 IEEE Wireless Communications and Networking Conference (WCNC)

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Non-orthogonal multiple access (NOMA) has come to the fore as a spectral-efficient technique for fifth-generation and beyond communication networks. We consider the downlink of a NOMA system with untrusted users. In order to consider a more realistic scenario, imperfect successive interference cancellation is assumed at the receivers during the decoding process. Since pair outage probability (POP) ensures a minimum rate guarantee to each user, it behaves as a measure of the quality of service for the pair of users. With the objective of designing a reliable communication protocol, we derive the closed-form expression of POP. Further, we find the optimal power allocation that minimizes the POP. Lastly, numerical results have been presented which validate the exactness of the analysis, and reveal the effect of various key parameters on achieved pair outage performance. In addition, we benchmark optimal power allocation against equal and fixed power allocations with respect to POP. The results indicate that optimal power allocation results in improved communication reliability.

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“…Consequently, imperfect SIC, where the residual interference (RI) arising from incorrectly decoded users' messages inevitably remains and accumulates, should be considered in the system model. Recently, numerous researchers have analyzed the performance of NOMA with imperfect SIC [9], [10], [11], [12]. However, in untrusted secure NOMA, a few research works, e.g., [7], [8], have considered the impact of RI on receivers but with different drawbacks, as will be discussed in the following.…”

Section: A State-of-the-artmentioning

confidence: 99%

“…Some of the existing works, e.g., [7], [11], [12], considering NOMA with imperfect SIC, have assumed a certain constant value of RI at receivers. We refer to this case as the constant model.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

Secrecy Outage Probability Analysis for Downlink Untrusted NOMA Under Practical SIC Error

Thapar

Mishra

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

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Non-orthogonal multiple access (NOMA) serves multiple users simultaneously via the same resource block by exploiting superposition coding at the transmitter and successive interference cancellation (SIC) at the receivers. Under practical considerations, perfect SIC may not be achieved. Thus, residual interference (RI) occurs inevitably due to imperfect SIC. In this work, we first propose a novel model for characterizing RI to provide a more realistic secrecy performance analysis of a downlink NOMA system under imperfect SIC at receivers. In the presence of untrusted users, NOMA has an inherent security flaw. Therefore, for this untrusted users' scenario, we derive new analytical expressions of secrecy outage probability (SOP) for each user in a two-user untrusted NOMA system by using the proposed RI model. To further shed light on the obtained results and obtain a deeper understanding, a high signal-to-noise ratio approximation of the SOPs are also obtained. Lastly, numerical investigations are provided to validate the accuracy of the desired analytical results and present valuable insights into the impact of various system parameters on the secrecy rate performance of the secure NOMA communication system.

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NOMA performance enhancement-based imperfect SIC minimization using a novel user pairing scenario involving three users in each pair

Cited by 15 publications

References 29 publications

Analysis of NOMA-OFDM 5G wireless system using deep neural network

Analysis of NOMA-OFDM 5G wireless system using deep neural network

Untrusted NOMA with Imperfect SIC: Outage Performance Analysis and Optimization

Secrecy Outage Probability Analysis for Downlink Untrusted NOMA Under Practical SIC Error

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