Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems

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

doi:10.48550/arxiv.1902.05735

Cited by 1 publication

(3 citation statements)

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“…In [20], the user experience 2 throughput in relay systems with exploiting 3DBF is evaluated. The authors in [4], study BF in NOMA-based MISO networks with considering two performance metrics, namely, sum data rate and fairness. Two-step BF with considering a multiuser NOMAbased MISO system is proposed in [10].…”

Section: B Related Workmentioning

confidence: 99%

“…Furthermore, we consider that the total bandwidth of each InP i, which is non overlapping with the other InPs, i.e., BW i is divided into N i subcarriers with equal bandwidth 4 . Moreover, we assume that each BS f i of InP i has N i subcarriers.…”

Section: Motivations and Contributionsmentioning

confidence: 99%

“…W ITH considering exponentially growth of wireless data traffic and diverse novel services such as enhanced mobile broadband, massive internet of thing (mIoT), and critical communication in the fifth generation (5G) of wireless networks, efficient, flexible, and on-demand resource utilization are become very important [1]- [3]. To fulfill these services requirements, high frequency band and advanced access technologies are proposed for new radio 1 of 5G access technology [4]- [7]. In 5G, due to new emerging services and ultra high density of users, spectral and energy efficiency need be increased significantly.…”

Section: Introduction a State Of The Artmentioning

confidence: 99%

See 2 more Smart Citations

Joint Radio Resource Allocation and 3D Beam-forming in MISO-NOMA-based Network with Profit Maximization for Mobile Virtual Network Operators

Zakeri,

Mokari,

Yanikomeroglu

2019

Preprint

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Massive connections and high data rate services are key players in 5G ecosystem and beyond. To satisfy the requirements of these types of services, non orthogonal multiple Access (NOMA) and 3-dimensional beam-forming (3DBF) can be exploited. In this paper, we devise a novel radio resource allocation and 3D multiple input single output (MISO) BF algorithm in NOMA-based heterogeneous networks (HetNets) at which our main aim is to maximize the profit of mobile virtual network operators (MVNOs). To this end, we consider multiple infrastructure providers (InPs) and MVNOs serving multiple users. Each InP has multiple access points as base stations (BSs) with specified spectrum and multi-beam antenna array in each transmitter that share its spectrum with MVNO's users by employing NOMA. To realize this, we formulate a novel optimization problem at which the main aim is to maximize the revenue of MVNOs, subject to resource limitations and quality of service (QoS) constraints. Since our proposed optimization problem is non-convex and mathematically intractable, we transform it into a convex one by introducing a new optimization variable and converting the variables with adopting successive convex approximation. More importantly, the proposed solution is assessed and compared with the alternative search method and the optimal solution that is obtained with adopting the exhaustive search method. In addition, it is studied from the computational complexity, convergence, and performance perspective. Our simulation results demonstrate that NOMA-3DBF has better performance and increases system throughput and MVNO's revenue compared to orthogonal multiple access with 2DBF by approximately 64%. Especially, by exploiting 3DBF the MVNO's revenue is improved nearly 27% in contrast to 2DBF in high order of antennas.

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Section: B Related Workmentioning

confidence: 99%

Section: Motivations and Contributionsmentioning

confidence: 99%