Bidirectional relaying using non-orthogonal multiple access

Kader, Md. Fazlul; Uddin, Mohammad Belal; Sarker, Md. Abdul Latif; Shin, Soo Young

doi:10.1016/j.phycom.2019.01.014

Cited by 12 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve the outage and achievable rate performances, the BS then adds these forms of each received signal by applying MRC and decodes s 2 and s 1 . Therefore, the received SINRs at BS related to decoded symbols s 2 and s 1 are respectively represented by

γ_{MRC}^{{UE}_{2}} = γ_{2 normalb}^{{normalt}_{1}} + γ_{2 normalb}^{{normalt}_{2}},

γ_{MRC}^{{UE}_{1}} = γ_{1 normalb}^{{normalt}_{1}} + γ_{1 normalb}^{{normalt}_{2}} .

As the data rate of a dual‐hop communication protocol is controlled by the inferior end‐to‐end link rate, the overall data rate of UE 2 is obtained by taking the minimum of and , which is given by

R_{2} = \frac{1}{2} \log_{2} ((), 1 + \min ((), γ_{2 normalr}^{{normalt}_{1}}, γ_{MRC}^{{UE}_{2}})) .

Accordingly, the overall data rate of UE 1 is determined by taking the minimum of and , which is obtained by

R_{1} = \frac{1}{2} \log_{2} ((), 1 + \min ((), γ_{1 normalr}^{{normalt}_{1}}, γ_{MRC}^{{UE}_{1}})) .

Finally, the total capacity of the UCD‐NOMA protocol is calculated by using and …”

Section: Protocol Descriptionmentioning

confidence: 99%

“…In the cited NOMA related works, the computational complexity was not formulated for their proposed communication systems . However, a few works such as those by Kader and Shin discussed the complexity of the NOMA incorporated systems based on the number of required complex operations (eg, MRC, SIC).…”

Section: Computational Complexitymentioning

confidence: 99%

“…With the rapid advancement in wireless technologies, higher data rate requirements, spectral efficiency, and massive connectivity have recently become major concerns. To address these issues, nonorthogonal multiple access (NOMA) is currently being considered as one of the solutions that can achieve higher spectral efficiency than conventional multiple access (OMA) . The key concept of power‐domain NOMA is that multiple users are multiplexed in the same physical resource (eg, time, frequency, and code) by means of assigning different amounts of power to the data of various users.…”

Section: Introductionmentioning

confidence: 99%

“…A cooperative relaying strategy can enlarge the coverage area, enhance data reliability, and create the means for spatial diversity . The integration of NOMA in cooperative relaying can further increase the spectral efficiency of wireless systems . Signal relaying can be accomplished by two means in cooperative NOMA (C‐NOMA) .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Uplink cooperative diversity using power‐domain nonorthogonal multiple access

Uddin

Kader

Shin

2019

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

In this paper, an uplink scheme that exploits cooperative diversity using power domain nonorthogonal multiple access (NOMA), termed UCD-NOMA, with successive interference cancelation receivers is proposed. A two-user case is considered, where both the NOMA users can communicate with the base station directly and indirectly via a half-duplex decode-and-forward relay. Under perfect and imperfect successive interference cancelation assumptions, the ergodic sum capacity, outage probability, and outage sum capacity of the considered protocol are analyzed over the Rayleigh fading channel. As a protocol with which to compare the proposed UCD-NOMA protocol, an uplink cooperative network using a conventional multiple access technique (termed UCD-OMA) is also considered and analyzed. The performance excellence of UCD-NOMA as compared to UCD-OMA is clarified through simulations and theoretical analyses.Trans Emerging Tel Tech. 2019;30:e3678.wileyonlinelibrary.com/journal/ett

show abstract

γ_{MRC}^{{UE}_{2}} = γ_{2 normalb}^{{normalt}_{1}} + γ_{2 normalb}^{{normalt}_{2}},

γ_{MRC}^{{UE}_{1}} = γ_{1 normalb}^{{normalt}_{1}} + γ_{1 normalb}^{{normalt}_{2}} .

R_{2} = \frac{1}{2} \log_{2} ((), 1 + \min ((), γ_{2 normalr}^{{normalt}_{1}}, γ_{MRC}^{{UE}_{2}})) .

Accordingly, the overall data rate of UE 1 is determined by taking the minimum of and , which is obtained by

R_{1} = \frac{1}{2} \log_{2} ((), 1 + \min ((), γ_{1 normalr}^{{normalt}_{1}}, γ_{MRC}^{{UE}_{1}})) .

Finally, the total capacity of the UCD‐NOMA protocol is calculated by using and …”

Section: Protocol Descriptionmentioning

confidence: 99%

Section: Computational Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Uplink cooperative diversity using power‐domain nonorthogonal multiple access

Uddin

Kader

Shin

2019

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

show abstract

“…Outage, ergodic sum rate and energy efficiency analysis is conducted and an efficient power allocation scheme is presented, based on segment and particle swarm optimization. In Reference 20, the optimal information exchanging user set for ergodic sum capacity is examined, under perfect and imperfect SIC, revealing large capacity gains in the two‐way NOMA relay case over OMA. The joint power and time optimization in a three‐phase two‐way NOMA relay scheme for two users is presented in Reference 21.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of power‐domain non‐orthogonal multiple access for full‐duplex two‐way relaying

Özduran

Mahmood

Νομικός

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Non‐orthogonal multiple has the potential to improve the connectivity of wireless networks by simultaneously allowing users and devices to access the wireless medium. Meanwhile, full‐duplex communication can increase the spectral efficiency of the network as transmission and reception are concurrently performed. This article investigates full‐duplex two‐way relay communication relying on non‐orthogonal multiple access in the power‐domain. More specifically, users exchange superimposed signals and perform reception by utilizing echo‐cancellation and successive interference cancellation. For this setup, an extensive theoretical analysis is conducted, in terms of outage probability, error probability, ergodic rate, and throughput. Furthermore, by using the Lagrangian multiplier, optimal transmit power, and power allocation coefficients are determined and the relay's position is optimized to improve network performance. Our theoretical findings are verified through Monte‐Carlo simulations while significant performance gains in the optimized network case are observed.

show abstract

Optimal transmit antenna selection for non‐orthogonal multiple access with improved lion algorithm

Jadhav

Vidyarthi

2022

Int J Communication

View full text Add to dashboard Cite

SummaryIn the realm of 5G mobile wireless communication, cognitive radio (CR) plays an important role in improving radio spectrum efficiency by overcoming challenges such as spectrum shortage versus under‐utilization associated with the traditional fixed frequency assignment. “Interweave CR, underlay CR, and overlay CR” are the three primary paradigmatics in general. The present study focuses on the overlay CR paradigm, wherein secondary users (SUs) have all been expected to be provided with superior “encoding and signal processing techniques” to improve primary users' (PUs') communication. Furthermore, to address concerns associated with inefficient spectrum usage, multiplexing methods like “non‐orthogonal multiple access (NOMA) and spatial modulation (SM)” have been implemented. NOMA makes use of the power domain to maximize spectrum usage, whereas SM makes use of the spatial domain. Multiple antennas, on the other hand, are expensive in terms of energy, magnitude, and equipment. Antenna selection is a low‐cost, low‐complexity method of capturing many of the NOMA system's advantages. As a consequence, this study offers the fitness familiarized lion algorithm (FFLA), a novel methodology for selecting the best antennas. Furthermore, the selection procedure involves identifying the stated objectives, which include energy usage and error minimization. Indeed, the suggested technique is an enhanced version of the lion algorithm (LA). Ultimately, the suggested work's performance is compared to and proven against other traditional models.

show abstract

Bidirectional relaying using non-orthogonal multiple access

Cited by 12 publications

References 23 publications

Uplink cooperative diversity using power‐domain nonorthogonal multiple access

Uplink cooperative diversity using power‐domain nonorthogonal multiple access

Performance analysis of power‐domain non‐orthogonal multiple access for full‐duplex two‐way relaying

Optimal transmit antenna selection for non‐orthogonal multiple access with improved lion algorithm

Contact Info

Product

Resources

About