Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Ahmed, Manzoor; Ali, Zain; Khan, Wali Ullah; Waqar, Omer; Asif, Muhammad; Khan, Abd Ullah; Javed, Muhammad Awais; Al‐Wesabi, Fahd N.

doi:10.1016/j.jksuci.2022.07.011

Cited by 8 publications

(4 citation statements)

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“…In refs. [20][21][22], the advanced optimization framework is proposed to improve the energy efficiency of the backscatterenabled cooperative non-orthogonal multiple access (NOMA) system by power allocation coefficient, optimization of the transmitted power from the source, and the power of a relaynode through interference cancellation decoding. To analyse the characteristics of the V2V communication systems in HST scenarios, comprehensive channel models are required.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Saleem

Asif

et al. 2022

IET Communications

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The above article from IET Communications, published online on 17 October 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.

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Section: R E T R a C T E Dmentioning

confidence: 99%

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Saleem

Asif

et al. 2022

IET Communications

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“…Overall, NOMA could be a big step forward for 5G networks in terms of capacity and performance. When compared to 5G, 6G's NOMA comprises resource allocation [108] interference management [109], and the optimization of power and transmission distribution [110]. The integration of NOMA with other technologies, such as millimeter-wave communications [111], Intelligent Reflecting Surface [112], and edge computing [113], as well as the environmental effects/Green Communication [114] of deploying NOMA in mobile communication networks have also been emphasized.…”

Section: E Non-orthogonal Multiple Accessmentioning

confidence: 99%

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Khan,

Schmid

2024

IEEE Open J. Commun. Soc.

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6G is a next-generation cellular communication technology that builds up on existing 5G networks which are currently rolled out worldwide. Through incorporation of artificial intelligence (AI) and machine learning (ML), the core 5G network is advanced into an intelligent 6G network. The 6G Artificial Intelligence Radio Access Network (AI-RAN) is anticipated to offer advanced features like reduced latency, improved bandwidth, data rates and coverage. Furthermore, AI-RAN is expected to support complex use cases such as extreme connectivity, multi-user communications and dynamic spectrum access. This paper provides a detailed survey and thorough assessment of AI-RAN's vision and state-of-the-art challenges. We first present a concise introduction to 6G AI-RAN followed by background information on the current 5G RAN and its challenges that must be overcome to implement 6G AI-RAN. The paper then examines trending research issues in AI-RAN, i.e., challenges related to spectrum allocation, network architecture, and resource management. We discuss the methods to overcome these challenges which include the adoption of advanced machine learning and edge computing technologies to boost the performance of 6G AI-RAN. We conclude by stating open research directions.

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“…Considering all network attributes, resource management has not been investigated under imperfect SIC. To address these issues, Ahmed et al [80] proposed a new resource management technique to enhance the sum rate of the NOMAbased backscatter cooperative system under imperfect SIC. Furthermore, they optimized the framework and derived a possible solution using KKT conditions and dual theory techniques.…”

Section: B Maximizing Sum Rates In Noma-bc Networkmentioning

confidence: 99%

NOMA-Based Backscatter Communications: Fundamentals, Applications, and Advancements

Ahmed,

Shahwar,

Khan

et al. 2024

IEEE Internet Things J.

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Developing wireless communication technologies is an ongoing process to satisfy the requirements of new applications and the increasing proliferation of interconnected devices. Using non-orthogonal multiple access (NOMA) and backscatter communication (BC) has surfaced as an advantageous approach for enhancing energy efficiency (EE), maximizing sum rates, ensuring security, and optimizing resource allocation. NOMA permits multiple users to share time and frequency resources even without the requirement of antenna arrays, whereas BC employs ambient RF signals for low-power communication. By integrating the advantages of NOMA and BC, NOMA-based BC provides a solution for future energyefficient and low-power networks. Despite its potential, there is a lack of a comprehensive overview of NOMA-BC, necessitating a systematic survey that covers its principles, applications, challenges, and future directions. This survey aims to bridge the gap by exploring NOMA-BC within B5G and 6G networks. We delve into its technical aspects, performance optimization techniques, and real-world applications to enhance understanding and knowledge. First, we cover topics such as enhancing EE, maximizing the sum rates, ensuring security, and optimizing resource allocation. Our primary goal is to provide researchers and practitioners with valuable insights that enable them to grasp the capabilities and benefits of NOMA-BC. To achieve this, we comprehensively analyze various schemes' performance by presenting detailed summary tables. These analyses cover a range of scenarios, methods, and objectives, focusing on emerging B5G technologies such as reconfigurable intelligent surfaces (RIS), visible light communication (VLC), and unmanned aerial vehicle (UAV) communication. By examining NOMA-BC's effectiveness within these contexts, we aim to provide a holistic view of its potential and applicability in diverse technological domains. Moreover, our survey identifies and discusses open research challenges and proposes future directions to guide researchers toward unexplored areas and facilitate advancements in NOMA-BC.

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Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Cited by 8 publications

References 50 publications

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

AI-RAN in 6G Networks: State-of-the-Art and Challenges

NOMA-Based Backscatter Communications: Fundamentals, Applications, and Advancements

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