Low Complexity NOMA System With Combined Constellations

Wu, Yuteng; Attang, Edidiong; Atkin, G.E.

doi:10.1109/lwc.2019.2897795

Cited by 9 publications

(10 citation statements)

References 10 publications

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“…In this study, we combined a code domain NOMA (CD-NOMA) system established from previous studies [17], [18] with SOMA to take advantage of its highly flexible structure. In our system, different SOMAs can provide NOMAs with incidence matrices of varying sizes.…”

Section: B Contributionsmentioning

confidence: 99%

“…In our previous studies [17] and [18], we studied a Low-Density Code design to build a CD-NOMA system by taking advantage of highly structured BIBDs. We further propose a method to achieve a larger OC for transmitting more users with limited resources by expurgating the number of users per resource to obtain a structure with larger sparsity.…”

Section: A Previous Workmentioning

confidence: 99%

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Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

2023

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Non-orthogonal multiple-access (NOMA) is designed to transmit massive amounts of user communications. The incidence matrix manages the relationship between users and resources. This study focused on increasing user supportability and complexity reduction using larger incidence matrices. Our approach to optimizing the incidence matrix to improve system capacity and reduce complexity is based on two critical mathematical concepts: Parallel classes in hypergraph theory and combinatorial designs allow us to explore and extend incidence matrices. Frame theory is used to estimate matrix structures. Then, we investigate applications utilizing our incidence matrix designs-Simple Orthogonal Multi-Arrays (SOMA). The characteristics of SOMA reflect the unique Latin Square pattern, allowing us to produce a highly flexible and fair resource allocation matrix. SOMA designs let us support overload factors over 500%. The theoretical performance analysis equations of our NOMA system were established to support dynamic adaptability and optimization. We implemented and evaluated security methods for eavesdroppers. The prototype of the user hierarchy allows a higher-priority group to have a lower error rate without significantly affecting the system's performance. Finally, the Monte Carlo simulation indicated that our NOMA systems allow higher degrees of freedom and lower complexity than other NOMA schemes while maintaining graceful error rates with a maximum 33% improvement.INDEX TERMS Incidence matrix, NOMA, combinatorial design, frame theory, SOMA.

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Section: B Contributionsmentioning

confidence: 99%

Section: A Previous Workmentioning

confidence: 99%

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

2023

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“…It has been well-established that the NOMA techniques outperform the conventional OMA technologies in terms of spectral efficiency, quality of services (QoS) requirements and fairness [8], [9]. Existing NOMA techniques can be divided into two major categories, i.e., code division multiplexing [10] and power domain multiplexing [11]. The code division NOMA is based on distinguished spreading codes, whereas, multiple independent signals are superimposed and are transmitted on the same channel with different power levels for power domain NOMA [12].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Resource Allocation for 6G NOMA-Enabled Cooperative Vehicular Networks

Ali

Khan

Ihsan

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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In recent years, the concept of non-orthogonal multiple access (NOMA) has gathered much attention due to its potential to offer high spectral efficiency, present user fairness and grant free access to sixth generation (6G) vehicular networks. This paper proposes a new optimization framework for NOMAenabled cooperative vehicular network. In particular, we jointly optimize the vehicle paring, channel assignment, and power allocation at source and relaying vehicles. The objective is to maximize the sum rate of the system subject to the power allocation, minimum rate, relay battery lifetime and successive interference cancellation constraints. To solve the joint optimization problem efficiently, we adopt duality theory followed by Karush-Kuhn-Tucker (KKT) conditions, where the dual variables are iteratively computed through sub-gradient method. Two less complex suboptimal schemes are also presented as the benchmark cooperative vehicular schemes. Simulation results compare the performance of the proposed joint optimization scheme compared to the other benchmark cooperative vehicular schemes.

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“…that the NOMA techniques outperform the conventional OMA techniques in terms of spectral efficiency, quality of services (QoS) requirements and fairness [8], [9]. Existing NOMA techniques can be divided into two major categories, i.e., code division multiplexing [10] and power domain multiplexing [11]. The code division NOMA is based on distinguished spreading codes, whereas, multiple independent signals are superimposed and are transmitted on the same channel with different power levels for power domain NOMA [12].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Resource Allocation for 6G NOMA-enabled Cooperative Vehicular Networks

Ali¹,

Khan²,

Ihsan³

et al. 2021

Preprint

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This paper proposes a new optimization framework for NOMA-enabled cooperative vehicular network. In particular, we jointly optimize the vehicle paring, channel assignment, and power allocation at source and relaying vehicles. The objective is to maximize the sum rate of the system subject to the power allocation, minimum rate, relay battery lifetime and successive interference cancellation constraints. To solve the joint optimization problem efficiently, we adopt dual theory followed by Karush-Kuhn-Tucker (KKT) conditions, where the dual variables are iteratively computed through sub-gradient method. Two less complex suboptimal optimization schemes are also presented as the benchmark cooperative vehicular schemes.

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Low Complexity NOMA System With Combined Constellations

Cited by 9 publications

References 10 publications

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

Optimizing Resource Allocation for 6G NOMA-Enabled Cooperative Vehicular Networks

Optimizing Resource Allocation for 6G NOMA-enabled Cooperative Vehicular Networks

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