Performance analysis of NOMA with generalised selection combining receivers

Kumar, Vaibhav; Cardiff, Barry; Flanagan, Mark F.

doi:10.1049/el.2019.2948

Cited by 12 publications

(6 citation statements)

References 11 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider a system where N s a N w a N a R, n s a n w a n, s a I, w a H:I, T a H:HI ms, B a IHH kHz. As reported in [15], the optimal power allocation in a NOMA-GSC system depends on the target data rate of x i . Considering the target data rate for both x s and x w to be 2 bps/Hz, it follows from [15] that a valid range for a s is given by H < a s < H:PS.…”

Section: Resultsmentioning

confidence: 99%

“…As reported in [15], the optimal power allocation in a NOMA-GSC system depends on the target data rate of x i . Considering the target data rate for both x s and x w to be 2 bps/Hz, it follows from [15] that a valid range for a s is given by H < a s < H:PS. Note that throughout this section, results for the sum EC are presented for the case where the sum EC is optimized using a one-dimensional search over a s P fH:I; H:P; : : : ; H:PRg.…”

Section: Resultsmentioning

confidence: 99%

“…A detailed moment generating function (MGF)-based performance analysis of GSC in Rayleigh fading channels, in terms of bit error rate (BER), symbol error rate (SER) and outage probability, was presented in [14]. The performance analysis of GSC in a downlink NOMA system in terms of average achievable sum-rate and outage probability was presented in [15].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers

Kumar¹,

Cardiff²,

Prakriya³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) has drawn tremendous attention, being a potential candidate for the spectrum access technology for the fifth-generation (5G) and beyond 5G (B5G) wireless communications standards. Most research related to NOMA focuses on the system performance from Shannon's capacity perspective, which, although a critical system design criterion, fails to quantify the effect of delay constraints imposed by future wireless applications. In this paper, we analyze the performance of a single-input multiple-output (SIMO) twouser downlink NOMA system, in terms of the linklayer achievable rate, known as effective capacity (EC), which captures the performance of the system under a delay-limited quality-of-service (QoS) constraint. For signal combining at the receiver side, we use generalized selection combining (GSC), which bridges the performance gap between the two conventional diversity combining schemes, namely selection combining (SC) and maximal-ratio combining (MRC). We also derive two approximate expressions for the EC of NOMA-GSC which are accurate at low-SNR and at high-SNR, respectively. The analysis reveals a tradeoff between the number of implemented receiver radio-frequency (RF) chains and the achieved performance, and can be used to determine the appropriate number of paths to combine in a practical receiver design.Index Terms-non-orthogonal multiple access, effective capacity, generalized selection combining This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers

Kumar¹,

Cardiff²,

Prakriya³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, in the remaining figures in this paper, we will consider Ω w = 0.1. Assuming the target data rate for both U s and U w to be r target = 2 bpcu and following the arguments in [34], a legitimate range for a s is given by 0 < a s < 1/2 rtarget . Therefore, we use a one-dimensional numerical search over the discrete set a s ∈ {0.01, 0.02, .…”

Section: Resultsmentioning

confidence: 99%

Delay Violation Probability and Effective Rate of Downlink NOMA over $α$-$μ$ Fading Channels

Kumar¹,

Cardiff²,

Prakriya³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) is a potential candidate to further enhance the spectrum utilization efficiency in beyond fifth-generation (B5G) standards. However, there has been little attention on the quantification of the delay-limited performance of downlink NOMA systems. In this paper, we analyze the performance of a two-user downlink NOMA system over generalized α-µ fading in terms of delay violation probability (DVP) and effective rate (ER). In particular, we derive an analytical expression for an upper bound on the DVP and we derive the exact sum ER of the downlink NOMA system. We also derive analytical expressions for high and low signal-to-noise ratio (SNR) approximations to the sum ER, as well as a fundamental upper bound on the sum ER which represents the ergodic sum-rate for the downlink NOMA system. We also analyze the sum ER of a corresponding time-divisionmultiplexed orthogonal multiple access (OMA) system. Our results show that while NOMA consistently outperforms OMA over the practical SNR range, the relative gain becomes smaller in more severe fading conditions, and is also smaller in the presence a more strict delay quality-of-service (QoS) constraint.

show abstract

“…The application of GFDM/OQAM to the Rician and Rayleigh channels has been carried out [3]- [12]. The application of GFDM in various fields has also been studied [13]- [18]. However, these studies have not yet discussed the analysis of system performance on Rayleigh channels.…”

Section: Introductionmentioning

confidence: 99%

Perbandingan Kinerja Generalized Frequency Division Multiplexing Menggunakan Modulasi QAM dan Offset QAM

Jayati

Destyningtias

2023

JNTETI

View full text Add to dashboard Cite

Generalized frequency division multiplexing (GFDM) merupakan sistem multicarrier masa datang yang bersifat nonortogonal. GFDM merupakan teknik transmisi data berbentuk blok yang setiap subcarrier-nya dibentuk dari pulsa berbentuk nonrectangular. Penerapan quadrature amplitude modulation (QAM) mapping untuk GFDM sangat baik karena meningkatkan efisiensi spektrum. QAM juga memiliki keterbatasan, yaitu meningkatnya kompleksitas ketika diimplementasikan. Selain itu, inter-carrier interference (ICI) juga masih ada dan sangat berpengaruh terhadap sistem. Untuk melakukan mitigasi terhadap kelemahan itu, digunakan teknik offset QAM (OQAM) mapping. Kelebihan GFDM/OQAM dibandingkan GFDM/QAM adalah komponen quadrature dan in-phase pada modulasi OQAM tidak mengalami pergeseran pada slot waktu yang sama, out of band (OOB) yang rendah, pesat data yang tinggi, dan bebas ICI. Makalah ini membandingkan dua skenario, yaitu sistem GFDM/OQAM dan sistem GFDM/QAM. Penelitian ini menganalisis kinerja bit error rate (BER) jika sinyal dilewatkan saluran additive white Gaussian noise (AWGN) dan saluran Rayleigh. Hasil simulasi menunjukkan bahwa GFDM/OQAM mempunyai kinerja lebih bagus. Hasil simulasi menunjukkan bahwa agar mendapatkan BER 10-2, terjadi penurunan nilai rasio energi per bit terhadap daya derau ( ) sebanyak 8 dB pada modulasi QAM ke OQAM ketika dilewatkan kanal AWGN. Sementara itu, ketika dilewatkan kanal Rayleigh, untuk mendapatkan nilai BER 10-2, terjadi penurunan nilai sebanyak 9 dB pada modulasi QAM ke OQAM. Selain itu, penelitian ini juga telah berhasil menyelidiki kinerja kedua sistem untuk parameter diagram konstelasi dan spektrum sinyal. Penelitian ini berhasil mendapatkan acuan nilai roll-off factor yang dapat digunakan pada penerapan sistem GFDM/OQAM dengan hasil kinerja terbaik yaitu 0,3. Faktor nilai roll-off factor sangat memengaruhi kinerja pada sistem GFDM.

show abstract

Performance analysis of NOMA with generalised selection combining receivers

Cited by 12 publications

References 11 publications

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers

Delay Violation Probability and Effective Rate of Downlink NOMA over $α$-$μ$ Fading Channels

Perbandingan Kinerja Generalized Frequency Division Multiplexing Menggunakan Modulasi QAM dan Offset QAM

Contact Info

Product

Resources

About