Energy Efficient Performance Analysis of NOMA for Wireless Down-link in Heterogeneous Networks under Imperfect SIC

Nguyen, Thuy-Duong; Phan, Van-Ca; Truong, Phuc Quang

doi:10.1109/icsse.2019.8823337

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Area SE had been considered in [19] which focused on EE ISSN: 2088-8708  enhancement by investigating base station (BS) density optimal. Nguyen [20] simulated the effects of EE for NOMA under imperfect SIC and the author found out EE is significantly decreasing when the Het-Net network becomes larger due to imperfect SIC implementation. Then, Khan et al [21] proposed a new sequential quadratic programming for enhancing EE for NOMA beyond 5G.…”

Section: Heterogeneous Networkmentioning

confidence: 99%

Energy-efficient non-orthogonal multiple access for wireless communication system

Darus

Idris

Hashim

2023

IJECE

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<p>Non-orthogonal multiple access (NOMA) has been recognized as a potential solution for enhancing the throughput of next-generation wireless communications. NOMA is a potential option for 5G networks due to its superiority in providing better spectrum efficiency (SE) compared to orthogonal multiple access (OMA). From the perspective of green communication, energy efficiency (EE) has become a new performance indicator. A systematic literature review is conducted to investigate the available energy efficient approach researchers have employed in NOMA. We identified 19 subcategories related to EE in NOMA out of 108 publications where 92 publications are from the IEEE website. To help the reader comprehend, a summary for each category is explained and elaborated in detail. From the literature review, it had been observed that NOMA can enhance the EE of wireless communication systems. At the end of this survey, future research particularly in machine learning algorithms such as reinforcement learning (RL) and deep reinforcement learning (DRL) for NOMA are also discussed.</p>

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Section: Heterogeneous Networkmentioning

confidence: 99%

Energy-efficient non-orthogonal multiple access for wireless communication system

Darus

Idris

Hashim

2023

IJECE

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“…denotes the front-haul (FH) consumed power that links the CCS to each BS in both tiers. This power is consumed in two parts, the power consumed in the aggregation switch of the CCU and the power consumed in the downlink interfaces of the wireless switches, and it can be given as [9], [46], [50]…”

Section: System Modelmentioning

confidence: 99%

EE Optimization for Downlink NOMA-Based Multi-Tier CRANs

Al-Abbasi

Rabie

2021

IEEE Trans. Veh. Technol.

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Non-orthogonal multiple access (NOMA) is increasingly becoming very attractive in cloud radio access networks (CRANs) to further boost the overall spectral efficiency, connectivity and, capacity of such networks. This paper addresses optimizing the energy efficiency (EE) for the downlink of a NOMAbased two tiers CRAN. The stochastic geometry represented by Poisson Point Process (PPP) distribution is used to decide the number and locations of the base stations (BSs) in each tier within the coverage area. A numerical optimal solution is obtained and compared against a proposed subgradient solution, as well as another proposed unoptimized solution based on the false positioning method. For comparison purposes, two other power allocation techniques are presented to allocate different powers to various BS categories; one allocates the power to each BS based on their relative distances to the cloud-based central station and the other is the bisection based scheme. Two simulation scenarios are presented to examine the performance of the two-tier NOMA-CRANs with NOMA is adopted as the multiple access of each tier in both cases. The first scenario considers heterogeneous CRAN (NOMA-HCRAN) case by using two different BS categories in each tier, namely, the macro-BSs and the RRHs. The second scenario considers a homogeneous CRAN (NOMA-CRAN) case by using the RRHs in both tiers but each tier has different frequency layer to prevent cross tier interference. Simulation results show the promising performance gain can be achieved with the proposed techniques relative to the existing approaches. More specifically, it was illustrated that the proposed subgradient based NOMA CRAN offers better performance than the proposed false positioning based NOMA CRAN, which is in turn better than the existing techniques, in particular, the bisection and the distance based NOMA-CRAN.Index Terms-Non-orthogonal multiple access (NOMA), cloud radio access network (CRAN), false positioning method, resource allocation, energy efficiency.

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“…Imperfect SIC implementation: Due to incorrect extraction and discovery, there is an increase in time and residual intrusion of previously recognized users during actual SIC operations [131][132][133][134][135]. This results in error propagation inside the SIC receiver (i.e., an imperfect SIC receiver) and decreases the performance of the NOMA system.…”

mentioning

confidence: 99%

Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review

et al. 2023

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Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has recently gained a lot of interest due to its improved ability to lessen power consumption and MEC offload delay. In recent decades, the need for wireless communications has increased tremendously. Fifth-generation (5G) communications will soon be widely used and offer much more functionality than a fourth generation (4G). Between 2027 and 2030, an innovative wireless communication paradigm is known as the sixth generation (6G) system is projected to be introduced with the full help of artificial intelligence (AI). Advanced system capacity, higher data rate, lower latency, advanced security, and improved quality of service (QoS) than 5G systems are a few of the main challenges to resolve with 5G. The growing need for data rates in the sixth generation (6G) communication networks are being met by extraordinary technologies such as NOMA, Soft Computing (SC), and MEC. Owing to the massive attention to the NOMA-enabled MEC, there has been a significant spike in the number of papers published in this area, while more comprehensive studies and classifications are still needed. Using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines, the investigation reports a systematic literature review (SLR) of NOMA-enabled MEC. This survey also evaluates numerous pieces of literature prudently chosen over a multi-step procedure and meets the selection criteria described in the paper summarizing our review.

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Energy Efficient Performance Analysis of NOMA for Wireless Down-link in Heterogeneous Networks under Imperfect SIC

Cited by 8 publications

References 15 publications

Energy-efficient non-orthogonal multiple access for wireless communication system

Energy-efficient non-orthogonal multiple access for wireless communication system

EE Optimization for Downlink NOMA-Based Multi-Tier CRANs

Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review

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