Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
TLDR
In this paper, the authors proposed a divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner.Abstract:
This article presents advances in resource allocation for downlink non-orthogonal multiple access (NOMA) systems, focusing on user pairing and power allocation algorithms. The former pairs the users to obtain high capacity gain by exploiting the channel gain difference between the users, while the latter allocates power to users in each cluster to balance system throughput and user fairness. Additionally, the article introduces the concept of cluster fairness and proposes the divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner. Furthermore, performance comparison between multiple-input multiple-output NOMA (MIMO-NOMA) and MIMO orthogonal multiple access (MIMO-OMA) is conducted when users have pre-defined quality of service. Simulation results are presented, which validate the advantages of NOMA over OMA. Finally, the article provides avenues for further research on resource allocation for downlink NOMA.read more
Citations
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Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks
TL;DR: In this article, the secrecy outage probability minimization problem was investigated by taking the priority of two users into account, and characterized the optimal secrecy offloading rates and power allocations with closed-form expressions.
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Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA
TL;DR: In this article, a joint user-RB association and power allocation scheme was proposed to maximize the energy efficiency of an uplink hybrid system, where non-orthogonal multiple access is integrated into orthogonal MAB, where a minimum rate requirement is defined for each user.
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Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G
TL;DR: This paper reveals that the NOMA techniques have evolved from single-carrier NomA (SC-NOMA) into multi- carrier NOMa (MC-N OMA), and comprehensively investigated on the basic principles, enabling schemes and evaluations of the two most promising MC-NomA techniques, namely sparse code multiple access (SCMA) and pattern division multiple access(PDMA).
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Energy Efficient Resource Management in SWIPT Enabled Heterogeneous Networks With NOMA
Haijun Zhang,Mengting Feng,Keping Long,George K. Karagiannidis,Victor C. M. Leung,H. Vincent Poor +5 more
TL;DR: This paper investigates the resource optimization problem of NOMA heterogeneous small cell networks with simultaneous wireless information and power transfer (SWIPT) by decoupling subchannel allocation and power control, and proposes a low-complexity subchannel matching algorithm.
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A Systematic Review on NOMA Variants for 5G and Beyond
Ishan Budhiraja,Neeraj Kumar,Sudhanshu Tyagi,Sudeep Tanwar,Zhu Han,Md. Jalil Piran,Doug Young Suh +6 more
TL;DR: In this paper, the authors present an in-depth survey of state-of-the-art non-orthogonal multiple access (NOMA) variants having power and code domains as the backbone for interference mitigation, resource allocations, and QoS management in the 5G environment.
References
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Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions
TL;DR: Both analytical and numerical results are provided to demonstrate that F-NOMA can offer a larger sum rate than orthogonal MA, and the performance gain of F- NOMA over conventional MA can be further enlarged by selecting users whose channel conditions are more distinctive.
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TL;DR: In this paper, the authors comprehensively survey the recent progress of NOMA in 5G systems, reviewing the state-of-the-art capacity analysis, power allocation strategies, user fairness, and user-pairing schemes in NOMAs.