Performance of non‐orthogonal multiple access: analysis using compute‐and‐forward cooperative relaying in 5G networks

Ntiamoah-Sarpong, Kwadwo; Huang, Zhong; Ampoma, Affum Emmanuel

doi:10.1049/iet-com.2019.0868

Cited by 3 publications

(8 citation statements)

References 36 publications

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“…DF MIMO relay systems' transmission strategy and performance analyses have been done in [18]. Additionally, the compress-and-forward (CF) and compute-and-forward (CpF) techniques have been examined in [19], [20] and [21]- [24], respectively. The above coding schemes were used to analyze resource allocation optimization in [25]- [30].…”

Section: Literature Reviewmentioning

confidence: 99%

“…To estimate the possibility of an outage event occurring in a data stream where the achievable data rate is lower than the encoded data rate [20], [50], we investigate the outage probability when the UE 1 is capable of detecting x 2 and x 1 . The outage probability (P 1 ) of UE 1 in relation to the threshold signal-tonoise ratio (SNR) for CR-NOMA users UE 1 , UE 2 (denoting Ω 1 , Ω 2 , respectively) may be characterized as follows based on the preceding definition:…”

Section: Outage Probabilities Analysismentioning

confidence: 99%

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

Tweneboah-Koduah¹,

Affum²,

Kwakye³

et al. 2022

IJACSA

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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.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Outage Probabilities 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

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“…In contrast to the DF scheme, the relay in the CF scheme simply has to extract the most pertinent information from its observation for decoding at the destination [24,25]. To reduce noise at the relay, a CpF scheme that takes advantage of signal interactions produced by the channel has been studied in [26].…”

Section: Introductionmentioning

confidence: 99%

Stochastic geometry modelling and analysis for cooperative NOMA with large transmit antennas for 5G applications and beyond

et al. 2023

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Among the technologies that have made 5G wireless communication successful are non‐orthogonal multiple access (NOMA) and cooperative NOMA. The distinction is that cooperative NOMA adds coding schemes to improve performance. Nevertheless, research on cooperative NOMA has primarily used theoretical correlation‐based stochastic models (CBSM) instead of geometric‐based stochastic models (GBSM) that represent suitable channel conditions by including characteristics like path loss, delay profile, and angle of arrival in the model. This paper connects the low adoption of GBSM is due to computational challenges. Given this, it is essential to assess cooperative NOMA that employs GBSM with large antenna transmitters to meet future 5G expectations. The cooperative NOMA system's transmitter is modelled as a uniform rectangular array and a novel channel realisation is proposed for analysis. The location vector of the antenna using the physical dimension of the array is defined to reduce computational problems. Results shows that the average bit‐error performance of GBSM matches that of CBSM at the same antenna element separation, but the spatial correlation between antenna elements significantly impacts the outage probability and average achievable rates of GBSM performance. Enhanced GBSM performance by increasing antenna separation at the transmitter above one‐eighth wavelength.

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“…The strong user on the other hand uses SIC to detect and decode their signals [7]. Additionally, weak users receive more power than strong users due to interference and poorer channel gains [15]. This is intended to maximize weak user transmission rate, experience and fairness [14].…”

Section: Introductionmentioning

confidence: 99%

“…The concept of CR-NOMA was established in [16] to increase the performance of cell edge users. In CR-NOMA several network coding schemes are introduced to secure the quality of service to weak users in the communication network [15]. This is to minimize interference and enhance performance.…”

Section: Introductionmentioning

confidence: 99%

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

et al. 2022

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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.

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Performance of non‐orthogonal multiple access: analysis using compute‐and‐forward cooperative relaying in 5G networks

Cited by 3 publications

References 36 publications

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

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

Stochastic geometry modelling and analysis for cooperative NOMA with large transmit antennas for 5G applications and beyond

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

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