Outage Probability Analysis of Non-Orthogonal Multiple Access in Cloud Radio Access Networks

Gu, Xin; Ji, Xiaodong; Ding, Zhiguo; Wu, Wei; Peng, Mugen

doi:10.1109/lcomm.2017.2761828

Cited by 34 publications

(34 citation statements)

References 7 publications

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“…Depending on whether s n or s p is considered for decoding in (4) or (5) respectively, the interfering signals are interchanged between s n and s p . s n is the useful signal in (4), and becomes the interfering signal in (5), whereas s p is the interfering signal in (4) and the useful signal in (5). Therefore, the interfering user sets depend upon the signal that is being decoded and their notation must be defined accordingly.…”

Section: Mutual Sic Conditions For Comp Scenariosmentioning

confidence: 99%

“…Moreover, the diversification of services with the emergence of internet of things (IoT), machine to machine (M2M), vehicle to vehicle (V2V) communications and other technologies require a greater flexibility from the operators to meet all sorts of demands. To cope with the presented challenge, new multiple access techniques, such as the non-orthogonal multiple access (NOMA), and new network architectures are being investigated for the fifth generation (5G) of cellular systems, like distributed antenna systems (DAS) [2]- [4], cloud radio access networks (C-RAN) [5], [6], and small cells [7], [8], leading to heterogeneous networks (HetNets) [9], [10] which are needed to match the diverse demands. Although frequency reuse patterns and, hence the network planning, differ from an architecture/technology to another, the common driving idea remains the densification of the network deployment to drastically enhance signal quality by reducing the mean path-loss, the shadowing effect and localizing the inter/intra-cell interference.…”

Section: Introductionmentioning

confidence: 99%

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Mutual Successive Interference Cancellation Strategies in NOMA for Enhancing the Spectral Efficiency of CoMP Systems

Kilzi

Farah

Nour

et al. 2020

IEEE Trans. Commun.

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The densification of mobile networks should enable the fifth generation (5G) mobile networks to cope with the ever increasing demand for higher rate traffic, reduced latency, and improved reliability. The large scale deployment of small cells and distributed antenna systems in heterogeneous environments will require more elaborate interference mitigating techniques to increase spectral efficiency and to help unlock the expected performance leaps from the new network topologies. Coordinated multi-point (CoMP) is the most advanced framework for interference management enabling the cooperation between base stations to mitigate inter-cell interference and boost cell-edge user performance. In this paper, we study the combination of CoMP with mutual SIC, an interference cancellation technique based on power-domain non-orthogonal multiple access (NOMA) that enables multiplexed users to simultaneously cancel their corresponding interfering signals. A highly efficient intercell interference cancellation scheme is then devised, that can encompass several deployment configurations and coordination techniques. The obtained results prove the superiority of this approach compared to conventional NOMA-CoMP systems.

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Section: Mutual Sic Conditions For Comp Scenariosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mutual Successive Interference Cancellation Strategies in NOMA for Enhancing the Spectral Efficiency of CoMP Systems

Kilzi

Farah

Nour

et al. 2020

IEEE Trans. Commun.

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“…As a significant technique candidate for the future IoT networks, NOMA-based CRAN has been not obtained the enough attention. In [19], the authors analyze the outage probability of the NOMA-based CRAN. Similarly, the authors in [20] derive a simple expression in terms of outage probability for both nearby devices and the cell-edge devices.…”

Section: A Related Workmentioning

confidence: 99%

“…To obtain the effective power allocation, we need to iteratively solve (19) by updating parameter α nk , and we summarize it in Algorithm 2.…”

Section: St (9b) − (9d) (9f) (17) (19b)mentioning

confidence: 99%

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Green Communication for NOMA-Based CRAN

Hao

Chu

Zhou

et al. 2019

IEEE Internet Things J.

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Abstract-The wireless devices will rapidly growth with the application of the Internet of Thing (IoT), which results in the huge power consumption. To realize the green communication, in this paper, we study the energy efficiency (EE) problem in a non-orthogonal multiple access (NOMA)-based CRAN, where microwave and millimeter wave (mmWave) are applied in fronthaul and access links, respectively. Based on this, we formulate the power optimization problem to maximize the EE of the system subject to the fronthaul capacity and transmit power constraints. Due to the formulated problem is nonconvex, we first transform the fractional objective function into the subtractive form. After that, an algorithm containing outer and inner loops is proposed to deal with this non-convex problem. In particular, in the outer loop, the 1 -norm technique is adopted to transform the nonconvex fronthaul capacity constraint into the convex one; while in the inner loop, the weighted minimum mean square error (WMMSE) approach is applied to solve the formulated problem. Simulation results demonstrate that the proposed NOMA scheme can obtain higher EE as well as throughput in comparison with the conventional orthogonal multiple access (OMA) scheme.

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Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks

Wen

Liu

et al. 2019

2nd International Conference on 5G for Ubiquitous Connectivity

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Outage Probability Analysis of Non-Orthogonal Multiple Access in Cloud Radio Access Networks

Cited by 34 publications

References 7 publications

Mutual Successive Interference Cancellation Strategies in NOMA for Enhancing the Spectral Efficiency of CoMP Systems

Mutual Successive Interference Cancellation Strategies in NOMA for Enhancing the Spectral Efficiency of CoMP Systems

Green Communication for NOMA-Based CRAN

Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks

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