Capacity Analysis of Cooperative Relaying Systems Using Non-Orthogonal Multiple Access

Kim, Jung-Bin; Lee, In-Ho

doi:10.1109/lcomm.2015.2472414

Cited by 386 publications

(305 citation statements)

References 7 publications

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“…The proposed vertical pairing structure allows the use of the solutions in (11) and (12) to allocate power for the users within each pair. However, the power allocation across the pairs have to be determined.…”

Section: But With the Superscript (H) As (L)mentioning

confidence: 99%

“…The key to the low complexity closed form solutions in (11) and (12) is to have only two candidates to allocate the power to. In here, the power will be allocated to the vertically paired users in hierarchical manner based on their channel powers.…”

Section: A Hierarchical Pairing Power Allocation (Hppa)mentioning

confidence: 99%

“…Using (11) and (12) with P g1 and P g2 as the total power for each subgroup, the power across each pair could be found easily as P 1 , P 2 , P 3 , and P 4 .…”

Section: A Hierarchical Pairing Power Allocation (Hppa)mentioning

confidence: 99%

“…In addition, the authors in [10] presented how NOMA could enhance the cell-edge user throughput while achieving fairness. In [11], [12] the same authors investigated the gains that relay assisted NOMA transmission could offer over the conventional NOMA system. In addition, a number of power allocation techniques have been proposed in [13]- [16], but none of the proposed techniques was in closed form.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Al-Abbasi

2017

IEEE Trans. Wireless Commun.

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Abstract-Non-orthogonal multiple access (NOMA) has attracted a lot of attention recently due to its superior spectral efficiency and could play a vital role in improving the capacity of future networks. In this paper, a resource allocation scheme is developed for a downlink multi-user NOMA system. An optimization problem is formulated to maximize the sum rate under the total power and proportional rate constraints. Due to the complexity of computing the optimal solution, we develop a low complexity sub-optimal solution for two-user scenario and then extend it to the multi-user case by proposing a user-pairing approach as well as a number of power allocation techniques that facilitate dealing with a large number of users in NOMA system. Simulation results support the effectiveness of the proposed approaches and show the close performance to the optimal one. In addition, we propose a new hybrid multiple access technique that combines the properties of NOMA and the orthogonal frequency division multiple access (OFDMA). Simulation results show that the proposed hybrid method provides better performance than NOMA in terms of the overall achievable sum rate and the coverage probability.

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Section: But With the Superscript (H) As (L)mentioning

confidence: 99%

Section: A Hierarchical Pairing Power Allocation (Hppa)mentioning

confidence: 99%

“…Using (11) and (12) with P g1 and P g2 as the total power for each subgroup, the power across each pair could be found easily as P 1 , P 2 , P 3 , and P 4 .…”

Section: A Hierarchical Pairing Power Allocation (Hppa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Al-Abbasi

2017

IEEE Trans. Wireless Commun.

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“…Different from the cooperative NOMA [7], a cooperative relay system employing the NOMA scheme was proposed in [20] and [21] to improve the spectral efficiency. Recently, the impact of relay selection for cooperative NOMA was studied in [22].…”

Section: Introductionmentioning

confidence: 99%

Non‐orthogonal multiple access schemes with partial relay selection

et al. 2017

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In this paper, non-orthogonal multiple access (NOMA) in amplify-and-forward relay systems with partial relay selection (PRS) is investigated. More specifically, new exact closed-form expressions for the outage probabilities at two users are derived, based on which an asymptotic analysis at high signalto-noise ratio (SNR) is carried out. Additionally, in order to investigate the performance gap between the NOMA and orthogonal multiple access (OMA) schemes, a closed-form approximate expression at high SNR for the sum rate is derived. Furthermore, relying on our results, the impact of the PRS on the sum rate and outage probability of the proposed NOMA scheme is examined. In particular, the derived asymptotic expressions show that the proposed scheme can improve over the traditional OMA not only the sum rate but also the user fairness. Finally, simulation results are presented to corroborate the analytical results. Index TermsNon-orthogonal multiple access (NOMA), spectrum efficiency, amplify-and-forward (AF) relay, partial relay selection, outage probability, sum rate.

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Nonorthogonal Multiple Access (NOMA): How It Meets 5G and Beyond

et al. 2019

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Due to massive connectivity and increasing demands of various services and data‐hungry applications, a full‐scale implementation of the fifth‐generation (5G) wireless systems requires more effective radio access techniques. In this regard, nonorthogonal multiple access (NOMA) has recently gained ever‐growing attention from both academia and industry. Compared to orthogonal multiple access (OMA) techniques, NOMA is superior in terms of spectral efficiency and is thus appropriate for 5G and beyond. In this article, we provide an overview of NOMA principles and applications. Specifically, the article discusses the fundamentals of power‐domain NOMA with single and multiple antennas in both uplink and downlink settings. In addition, the basic principles of code‐domain NOMA are elaborated. Further, the article explains various resource allocation techniques such as user pairing and power allocation for NOMA systems; discusses the basic form of cooperative NOMA and its variants; and addresses several opportunities and challenges associated with the compatibility of NOMA with other advanced communication paradigms such as heterogeneous networks and millimeter wave communications.

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Capacity Analysis of Cooperative Relaying Systems Using Non-Orthogonal Multiple Access

Cited by 386 publications

References 7 publications

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Non‐orthogonal multiple access schemes with partial relay selection

Nonorthogonal Multiple Access (NOMA): How It Meets 5G and Beyond

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