User pairing schemes for capacity maximization in non-orthogonal multiple access systems

Shahab, Muhammad Basit; Irfan, Mohammad; Kader, Md. Fazlul; Shin, Soo Young

doi:10.1002/wcm.2736

Cited by 136 publications

(83 citation statements)

References 20 publications

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“…Suppose N users are divided into I user clusters with K users per cluster. The total system throughput can be expressed by [12] , (3) where is the signal-to-noise ratio (SNR) to cluster i in the base station. h i,k and a i,,k are the link gain and the user power allocation coefficient of the k th user in cluster i .…”

Section: System Modelmentioning

confidence: 99%

“…The clustering scheme [11] can easily group the middle users into the same user cluster, so the interference between these middle users is more serious, which is difficult to the interference elimination at the receiver. In reference [12], hybrid user clustering scheme is proposed to improve the throughput of edge users while resolving the problem of middle user interference in a cell, but the throughput of middle users needs to be improved. In reference [13], a slot-based user-clustering scheme is proposed to improve the throughput of users with similar link gain, but the reasonable resources allocation in time-and frequency-domain among users within the cluster is unsolved.…”

Section: Introductionmentioning

confidence: 99%

“…In order to decrease the serious interference between middle users [11] and to improve the throughput of middle users in hybrid clustering scheme [12], user clustering scheme is presented in this paper. The main contributions of this work are concluded as follows:…”

Section: Introductionmentioning

confidence: 99%

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User Clustering Scheme for Downlink of NOMA System

2020

KSII TIIS

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An improved clustering scheme based on user group is proposed. Every two users are grouped among N-users in the allowed system according to their link gain from large to small. Each user group is numbered sequentially. Two user clusters are obtained according to the principle of maximizing link gain difference for the users in the first and last user groups. The remaining user groups are added to the two existing user clusters according to the parity of the group number. The clustering should be clustered again among the users in either user cluster if the throughput summation of a user cluster in NOMA is less than that of these users in orthogonal multiple access. The simulation results show that the proposed clustering scheme can increase the system throughput by about 8% compared with the hybrid clustering scheme when the number of users requiring service is 12.

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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User Clustering Scheme for Downlink of NOMA System

2020

KSII TIIS

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“…For the former case, fixed target data rates are pre-defined for all users, while for the latter case, users' rates are adapted according to the instantaneous CSI. In [4], the authors propose user-pairing schemes for capacity maximization in single-cell downlink NOMA networks. To be specific, two user-pairing schemes have been proposed so as to provide capacity gains to almost all users by grouping them in pairs.…”

Section: Introductionmentioning

confidence: 99%

“…Centralized joint user association, channel assignment, and power allocationIn this work, the aim is to jointly associate users with base stations and perform channel assignment, along with proportional fairness SINR-based maximizing power allocation. Additionally, each user must satisfy a target minimum SINR γ T n , ∀U n ∈ U q , and ∀BS q ∈ B (i.e.,4 The case of imperfect SIC is beyond the scope of this work; however, practical solutions for mitigating SIC errors can be found in[20].…”

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confidence: 99%

User association and channel assignment in downlink multi-cell NOMA networks: A matching-theoretic approach

Baidas

Bahbahani

Alsusa

2019

J Wireless Com Network

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This paper studies the problem of stable user association and channel assignment in downlink multi-cell non-orthogonal multiple-access (NOMA) networks. To be specific, the goal is to assign network users to the channels at each base station, while accounting for inter-user interference and maintaining quality of service (QoS) per user. To that end, a low-complexity iterative solution procedure is devised to obtain the optimal power allocation for proportional fairness signal-to-interference-plus-noise ratio (SINR)-based maximization, which is then utilized to determine the preferences of network users over the channels available at each base station and the preferences of base stations over the network users. In turn, a many-to-one matching-theoretic model based on the student-project allocation problem is applied. Particularly, two polynomial-time complexity stable matching algorithms are proposed to associate users with base stations and perform channel assignment, such that no user or base station would deviate and change its association or channel assignment unilaterally. To validate the efficacy of the proposed solution procedure and stable matching algorithms, extensive simulation results are presented to compare them to a centralized joint user association, channel assignment, and power allocation (C-J-UA-CA-PA) scheme. It is demonstrated that the proposed algorithms efficiently associate users with base stations and assign them to channels as well as efficiently yielding comparable SINR per user to the C-J-UA-CA-PA scheme, while maximizing proportional fairness and satisfying QoS constraints.

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Exploiting non‐orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information

Murti

Siregar

Royyan

et al. 2020

Int J Communication

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In this paper, the impact of imperfect channel state information (CSI) on a downlink coordinated multipoint (CoMP) transmission system with non-orthogonal multiple access (NOMA) is investigated since perfect knowledge of a channel can not be guaranteed in practice. Furthermore, the channel estimation error is applied to estimate the channel information wherein its priori of variance is assumed to be known. The impact of the number of coordinated base stations (BSs) on downlink CoMP NOMA is investigated. Users are classified into one of two groups according to their position within the cell, namely cell-center user (CCU) and cell-edge user (CEU). In this paper, ergodic capacity and sum capacity for both CCU and CEU are derived as closed form. In addition, various experiments are conducted with different parameters such as SNR, error variance, and power allocation to show their impact on the CoMP method. The results show that CoMP NOMA outperforms the CoMP orthogonal multiple access (OMA) wherein the condition of the channel impacts the performance of CoMP NOMA less. It is worth noting that a higher number of coordinated BSs enhances the total capacity of CoMP NOMA. Finally, the performance analysis is validated due to the close accordance between the analytical and simulation results.

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User pairing schemes for capacity maximization in non-orthogonal multiple access systems

Cited by 136 publications

References 20 publications

User Clustering Scheme for Downlink of NOMA System

User Clustering Scheme for Downlink of NOMA System

User association and channel assignment in downlink multi-cell NOMA networks: A matching-theoretic approach

Exploiting non‐orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information

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