Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems

Al‐Obiedollah, Haitham; Cumanan, Kanapathippillai; Thiyagalingam, Jeyarajan; Tang, Jie; Burr, Alister G.; Ding, Zhiguo; Dobre, Octavia A.

doi:10.1109/twc.2020.3004292

Cited by 27 publications

(27 citation statements)

References 62 publications

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“…Therefore, ordering users within a cluster is essential to determine the overall performance of the system. In this paper, the users at each cluster are ordered based on their channel gains [6], such that…”

Section: A System Modelmentioning

confidence: 99%

“…However, as the number of users increases, the computational complexity of SIC becomes prohibitive in practical implementations. This might restrict the potential capabilities of employing NOMA in dense networks, in which SIC should be used to decode a large number of signals [6].…”

Section: Introductionmentioning

confidence: 99%

“…An SE-EE trade-off based design has been proposed for a multiple-input single-output (MISO)-NOMA system in [6]. In [7], the SE-EE trade-off for the massive MIMO systems has been investigated through the particle swarm optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Spectral-Energy Efficiency Trade-Off Based Design for Hybrid TDMA-NOMA System

Wei

Al‐Obiedollah

Cumanan

et al. 2022

IEEE Trans. Veh. Technol.

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The combination of time division multiple access (TDMA) and non-orthogonal multiple access (NOMA), referred to as hybrid TDMA-NOMA system, is considered as a potential solution to meet the unprecedented requirements for future wireless networks. While recent resource allocation techniques aiming to individually maximize either spectral efficiency (SE) or energy efficiency (EE), this paper considers a SE-EE trade-off based technique for a hybrid TDMA-NOMA system. This design offers an additional degree of freedom in resource allocation. The proposed design is formulated as a multi-objective optimization (MOO) problem -a non-convex problem. The MOO framework is reformulated as a single-objective optimization (SOO) problem by combining the multi-objectives through a weighted-sum objective function. With this, each of the original objectives is assigned with a weight factor to reflect its importance in the design. Then, sequential convex approximation (SCA) and a second-order cone (SOC) approach are jointly utilized to deal with the non-convexity issues of the SOO problem. Simulation results reveal that the proposed trade-off based design strikes a good balance between the objective functions, while meeting the instantaneous requirements of the system.

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Section: A System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectral-Energy Efficiency Trade-Off Based Design for Hybrid TDMA-NOMA System

Wei

Al‐Obiedollah

Cumanan

et al. 2022

IEEE Trans. Veh. Technol.

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“…Similarly, the non-convex right-hand side of the inequality in ( 14) is approximated with a linear term. With this approximation, the constraint in ( 14) can be rewritten as [28]…”

Section: A Proposed Algorithmmentioning

confidence: 99%

Downlink Multi-Carrier NOMA With Opportunistic Bandwidth Allocations

Al‐Obiedollah

Cumanan

Chen

et al. 2021

IEEE Wireless Commun. Lett.

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Multi-carrier non-orthogonal multiple access (MC-NOMA) system has been considered as a promising candidate in future wireless networks. In a MC-NOMA system, the available bandwidth of transmission is divided into several sub-bands, such that multiple users in each sub-band are served based on power-domain NOMA. Unlike the equal sub-band allocations, we propose a sum-rate maximization technique that jointly allocates the available power and bandwidth with opportunistic sharing between the sub-bands. A second-order cone program approach is exploited to deal with the non-convexity issues of the corresponding optimization problem. Simulation results reveal that the MC-NOMA system with opportunistic bandwidth allocation outperforms the scheme with the equal bandwidth allocation in terms of achieved sum-rate.Index Terms-Non-orthogonal multiple access (NOMA), Multicarrier NOMA.

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“…Thus, the data traffic in next-generation wireless networks is expected to increase explosively, and the available limited spectrum resources become more scarce. As one of the promising techniques to deal with huge demand of massive connectivity, non-orthogonal multiple access (NOMA) has been identified as an enabling technology to improve the spectral efficiency of 5G and beyond [5]- [8]. On the other hand, cooperative relaying can extend the transmission coverage and improve spectral efficiency in wireless networks [9], [10].…”

Section: Introductionmentioning

confidence: 99%