Ambient BackCom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Khan, Wali Ullah; Memon, Fida Hussain; Dev, Kapal; Javed, Muhammad Awais; Do, Dinh‐Thuan; Qureshi, Nawab Muhammad Faseeh

doi:10.1016/j.dcan.2022.10.028

Cited by 11 publications

(10 citation statements)

References 51 publications

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“…If we consider the reflection coefficient assigned to 𝑢 𝑖 𝑛 , then from ( 4) and ( 8), minimum 𝛽 𝑖 𝑛 is derived as (16).…”

Section: Derivation Of Reflection Coefficientsmentioning

confidence: 99%

“…Resource allocation is an important metric in NOMA-enabled multiple cells with BackCom network in the presence of inter-cell interference. Khan et al [16], the data rate of the network is maximized by jointly optimizing the transmission power allocation coefficient of the BS and the reflection coefficient of the BD under the constraints of the maximum reflection coefficient and the BS transmit power. The optimization problem is decoupled into two sub-problems, and the dual decomposition approach is used to solve each sub-problem.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive resource allocation in NOMA-enabled backscatter communications systems

Das,

Khadanga,

Rout

2024

IJ-ICT

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The integration of NOMA with Backscatter communication (BackCom) is a promising solution for developing a green future wireless network. However, system performance degrades with the deployment of multiple backscatter devices (BDs) in a network. Hence, energy efficiency (EE) maximization with proper resource allocation is among the primary concerns. In this regard, this paper proposes an adaptive resource allocation method for maximizing EE by simultaneously optimizing the transmission power from the base station (BS), power allocation coefficients, and reflection coefficients under the constraints of maximum allowable transmission power and minimum achievable data rate. Specifically, an iterative method based on a parametric transformation approach is adopted for maximizing EE by jointly optimizing the coefficients, in which the power allocation problem to the BDs is solved by an adaptive method that is based on improved proportionate normalized least mean square (IPNLMS) algorithm. Then, the system performance is evaluated, and the impact of different parameters is also studied it is observed that EE is significantly improved as compared to the existing scheme, and maximum at <span>η</span>=-0.5.

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“…If we consider the reflection coefficient assigned to 𝑢 𝑖 𝑛 , then from ( 4) and ( 8), minimum 𝛽 𝑖 𝑛 is derived as (16).…”

Section: Derivation Of Reflection Coefficientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive resource allocation in NOMA-enabled backscatter communications systems

Das,

Khadanga,

Rout

2024

IJ-ICT

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“…AmBC and NOMA together create new communication enhancements and deal with difficulties in dense networks. Khan et al [83] studied multi-cell NOMA-based AmBC B5G networks and came up with a way to divide up resources using a dual theory approach to get the system's total rate to be as high as possible. The authors derived a joint optimization problem to maximize the sum rate and formulated two subproblems: BS's transmit power and BN's RC.…”

Section: B Maximizing Sum Rates In Noma-bc Networkmentioning

confidence: 99%

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

Ahmed,

Shahwar,

Khan

et al. 2023

Preprint

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<p>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.</p>

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“…Recently, NOMA has become a promising technology that can meet the needs of 5G while addressing the problems with spectrum shortage. Allowing numerous users to access nonorthogonal spectrum at the same time, frequency, and coding is the primary tenet of NOMA 6–9 . The superposition coding technique can be used at transmitters to multiplex the signals between these users.…”

Section: Introductionmentioning

confidence: 99%

“…NOMA. [6][7][8][9] The superposition coding technique can be used at transmitters to multiplex the signals between these users. At the receivers, the SIC method is used for the decoding procedure.…”

mentioning

confidence: 99%

Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

Louis,

Dalton

2024

Int J Communication

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SummaryThe solution of resource allocation is based on NOMA and OMA structures that are suboptimal to satisfy the demanding QoS and higher data rate requirements compared to EE requirements in 5G cellular networks. In this work, the resource allocation problem in the hybrid MC‐NOMA system is solved. The system achieves the trade‐off between spectral and energy efficiency (EE) with the lowest rate of user requirements. The system's resource allocation, including power allocation, is considered the crucial factor and is identified as a single‐objective problem. The suggested work focuses on user pairing and allocation on paired users following processing. The user grouping is designed to connect near‐ and far‐users with high C3 to increase the fairness of NOMA. As a result, this work considers multiple goals, such as C3 maximization, spectrum efficiency, and energy efficiency. This paper aims to present a novel hybrid optimization model with the combination of coati and bald eagle optimization algorithms, to solve the defined optimization problem. The experimental results show that the suggested system outperforms the conventional algorithms by evaluating different performance measures such as channel correlation, spectrum efficiency, energy efficiency, and power allocation.

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Ambient BackCom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Cited by 11 publications

References 51 publications

Adaptive resource allocation in NOMA-enabled backscatter communications systems

Adaptive resource allocation in NOMA-enabled backscatter communications systems

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

Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

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