Performance Analysis and Power allocation for Multi Relay Wireless Cooperative NOMA Networks with Diversity Combining strategies

Sushma, Jagarapu; Gayathri, Matcha Naga; Srivani, Samudrala; Nayak, V. Narasimha; Gurrala, Kiran Kumar

doi:10.1109/sceecs48394.2020.56

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DF coding scheme relay, on the other hand, decodes the received signal first before re-transmitting the decoded signal to the destination [23]. Others such as compress-and-forward (CF) and computer-and-forward(CpF) have been studied in [15,40,[43][44][45][46][47][48][49] respectively. With the CF approach, the signal is compressed and sent to the target location(s), whereas with the CpF however does not requires CSI and exploits signal couplings produced by the channel to remove noise noise and mitigate interference at the relays thereby reducing the number of relays required.…”

Section: Performance Of Cr-noma With Cbsm Channel Modelmentioning

confidence: 99%

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

et al. 2022

View full text Add to dashboard Cite

The potential of the Non-Orthogonal Multiple Access (NOMA) approach for wireless communications in the fifth generation (5G) and beyond can not be underestimated. This is because users with favorable channel conditions can serve as relays to improve system performance by employing Successive Interference Cancellation (SIC). Lately, the combination of NOMA and the cooperative relay has attracted the interest of researchers. The analysis of cooperative relay NOMA (CR-NOMA) with a massive multiple-input multiple-output (mMIMO) system is mainly based on theoretical channel models such as the correlated-based stochastic channel model (CBSM) even though the geometric-based stochastic channel model (GBSM) has been found to provide better, practical and realistic channel properties. This, in our view, is due to computational challenges. Again, the performance of CR-NOMA systems using the GBSM channel model with large antenna transmitters and network coding schemes has attracted little attention in academia. Therefore, the need to study mMIMO CR-NOMA that considers channel properties such as path-loss, delay profile and tilt angle has become vital. Furthermore, the co-existing of large antenna transmitters with coding schemes needs further investigation. In this paper, we study the performance of a two-stage mMIMO CR-NOMA network where the transmitter is represented as a uniform rectangular array (URA) or cylindrical array (CA). The communication channel from the transmitter (TX) to the user equipment (UE) through a relay station (RS) is modeled with a 3GPP’s three-dimensional (3D) GBSM mMIMO channel model. To improve the analytical tractability of 3D GBSM, we defined the antenna element location vectors using the physical dimension of the antenna array and incorporated them into the 3D channel model. Bit-error rates, achievable rates and outage probabilities (OP) are examined using amplify-and-forward (AF) and decode-and-forward (DF) coding schemes. Results obtained show with fixed power allocation and SNR of 20 dB, far or weak users can attain a high achievable rate using DF and URA. Again, from the results, the combination of AF and CA presents better outage probabilities. Finally, the results indicate that the performance difference between CBSM and GBSM is marginal, even though the proposed 3D GBSM channel model has a higher degree of random parameters and computational complexities.

show abstract

Section: Performance Of Cr-noma With Cbsm Channel Modelmentioning

confidence: 99%

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

et al. 2022

View full text Add to dashboard Cite

show abstract

“…According to research, CBSM [23], [33]- [36] is the only focus of the approaches and analyses utilized to enhance CR-NOMA system performance. Due to nonstationary phenomena and spherical effects, CBSM is used for theoretical study and has lower accuracy for real-world mMIMO systems [12], [37].…”

Section: A Motivationmentioning

confidence: 99%

“…Equation ( 24) reflects the circumstance in which UE 1 is unable to detect its signals properly, whereas (23) describes the circumstance in which the signals are successfully detected. Comparably, the UE 2 's overall average BER (P UE2 e ) performance from citation [51] is where γ A1 and γ A2 are the SNRs of different signal constellation points expressed as…”

Section: E Bit-error Rates Analysismentioning

confidence: 99%

Decode and Forward Coding Scheme for Cooperative Relay NOMA System with Cylindrical Array Transmitter

Tweneboah-Koduah¹,

Affum²,

Kwakye³

et al. 2022

IJACSA

View full text Add to dashboard Cite

The Non-Orthogonal Multiple Access (NOMA) technique has enormous potential for wireless communications in the fifth generation (5G) and beyond. Researchers have recently become interested in the combination of NOMA and cooperative relay. Even though geometric-based stochastic channel models (GBSM) have been found to provide better, practical, and realistic channel properties of massive multiple-input multipleoutput (mMIMO) systems, the assessment of Cooperative Relay NOMA (CR-NOMA) with mMIMO system is largely based on correlated-based stochastic channel model (CBSM). We believe that this is a result of computational difficulties. Again, not many discussions have been done in academia about how well CR-NOMA systems perform when large antenna transmitters with the GBSM channel model are used. As a result, it is critical to investigate the mMIMO CR-NOMA system with the GBSM channel model that takes into account channel parameters such as path loss, delay profile, and tilt angle. Moreover, the coexistence of large antenna transmitters and coding methods requires additional research. In this research, we propose a twostage, three-dimension (3D) GBSM mMIMO channel model from the 3GPP, in which the transmitter is modelled as a cylindrical array (CA) to investigate the efficiency of CR-NOMA. By defining antenna elements placement vectors using the actual dimensions of the antenna array and incorporating them into the threedimension (3D) channel model, we were able to increase the analytical tractability of the 3D GBSM. Bit-error rates, achievable rates, and outage probabilities (OP) are investigated utilizing the decode-and-forward (DF) coding method: the results are compared with that of a system using the CBSM channel model. Despite the computational difficulties of the proposed GBSM system, there is no difference in performance between CBSM and GBSM.

show abstract

Joint source and relay beamforming design and time allocation for wireless powered multi-relay multi-user network

Jia

Shi²

2021

Wireless Netw

View full text Add to dashboard Cite

Performance Analysis and Power allocation for Multi Relay Wireless Cooperative NOMA Networks with Diversity Combining strategies

Cited by 5 publications

References 4 publications

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

Decode and Forward Coding Scheme for Cooperative Relay NOMA System with Cylindrical Array Transmitter

Joint source and relay beamforming design and time allocation for wireless powered multi-relay multi-user network

Contact Info

Product

Resources

About