Joint User-Channel Assignment and Power Allocation For Non-Orthogonal Multiple Access In A 5G Heterogeneous Ultra-Dense Networks

Khodmi, Amel; Rejeb, Sonia Ben; Agoulmine, Nazirn; Choukair, Zièd

doi:10.1109/iwcmc48107.2020.9148116

Cited by 10 publications

(11 citation statements)

References 11 publications

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“…Here the performance achieved using high efficiency resource allocation scheme and existing resource allocation scheme (1)(2)(3) is evaluated. Experiment is conducted using NS3-based simulator namely, SIMITS simulator (4) .…”

Section: Resultsmentioning

confidence: 99%

“…In (21) showed Game Theory (GT) model is very efficient in comparison with machine learning models (22) for obtaining optimal resource allocation in the heterogeneous wireless network. However, existing GT-based resource allocation model (23,24) fail to provide good access fairness (1) with high performance efficiency (2,3) .…”

Section: Introductionmentioning

confidence: 99%

“…Finally, a hybrid resource allocation algorithm combining contentionless and contention-based is designed to provide an improved resource allocation mechanism. Findings:The experiment outcome shows the HERA scheme allocates resources more efficiently in comparison with Access Fairness Resource Allocation (AFRA) (1) , Joint Resource Allocation with Power Optimization (JRA-PO) (2) , Resource Allocation and Node Placement (RANP) (3) , and Existing Resource Allocation (ERA) (4) . The HERA improves throughput by 19.07% and reduces collision by 42.96% in comparison with ERA (4) .…”

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confidence: 99%

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HERA: High-Efficiency Resource Allocation Scheme for Newly Joined Mobile Terminal in Heterogeneous Wireless Network

Nagaraja¹,

Rameshbabu²,

Gowrishankar³

2022

IJST

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Objectives:To design an efficient resource allocation design for provisioning service of varied traffic classes to Multi-Mode Mobile Terminals (MMTs) in Heterogeneous Wireless Networks (HWNs). In HWNs, users prerequisite certain Quality of Service (QoS); thus, for meeting QoS, theMMTs are handoff to the new network. However, handoff MMTs might induce interference with the ongoing communication of existing MMTs. As resources are shared, resource allocation becomes a challenging task. Methods:This study presents a High-Efficiency Resource Allocation optimization model for HWNs. The HERA scheme first employs Channel State Information (CSI) estimation for mitigating interference and establishing channel availability. Second, using game theory optimal resource is allocated to MMTs and proves the existence of Nash equilibrium (NE) for spectrum resource allocation to MMTs in HWNs. Finally, a hybrid resource allocation algorithm combining contentionless and contention-based is designed to provide an improved resource allocation mechanism. Findings:The experiment outcome shows the HERA scheme allocates resources more efficiently in comparison with Access Fairness Resource Allocation (AFRA) (1) , Joint Resource Allocation with Power Optimization (JRA-PO) (2) , Resource Allocation and Node Placement (RANP) (3) , and Existing Resource Allocation (ERA) (4) . The HERA improves throughput by 19.07% and reduces collision by 42.96% in comparison with ERA (4) . Novelty: existing model predominantly focused on either addressing interference or maximizing throughput by leveraging either contention or contention-less resource allocation mechanism. However, in this study both contention-less and contention-based mechanisms are merged to maximize throughput and reduce collision.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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HERA: High-Efficiency Resource Allocation Scheme for Newly Joined Mobile Terminal in Heterogeneous Wireless Network

Nagaraja¹,

Rameshbabu²,

Gowrishankar³

2022

IJST

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“…It can be seen that mean throughput is the main optimization indi-cator in the literature [7,[16][17][18], and transmission with errors or collision situations are discussed in [19,20]. Besides, the whole network's utilities are optimized in [21][22][23][24]. It is obvious that the joint optimization of AoI and SINR has not been paid enough attention under attack, and the proposed solution or method should be in the distributed manner.…”

Section: Related Workmentioning

confidence: 99%

Channel Access‐Based Joint Optimization of AoI and SINR under Attack: Game Theory and Distributed Approach

Yang

Wei

et al. 2021

Wireless Communications and Mobile Computing

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This paper focuses on the joint optimization of the Age of Information (AoI) and Signal to Interference plus Noise Ratio- (SINR-) oriented channel access problem under attack in the Wireless Sensor Networks (WSNs). Firstly, to overcome the uncertain, dynamic, and incomplete information constrains, an active probability model and a controlling channel model are proposed for the sensors and the receiving end, respectively. Secondly, to ensure the AoI and SINR of the data generated by the sensors when transmitted under attack, one utility function based on average AoI and SINR is defined. Then, considering the distributed feature of the channel access process, the joint optimization problem is formulated under the game theory structure. Then, a distributed learning algorithm is proposed to reach the Nash Equilibrium (NE) of the game. Finally, simulation results have verified the correctness and effectiveness of the proposed method.

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“…In addition, NOMA provides better fairness to users than traditional OMA systems. 10,11 The current research on NOMA technology is divided into two categories: power domain NOMA and code domain NOMA. 12 The power domain NOMA transmission technique allocates power for transmitters according to different channel states, that is, less power will be allocated to transmitters with better channel states and more power will be allocated to transmitters with worse channel states.…”

Section: Introductionmentioning

confidence: 99%

Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things

Gao

Zhang

et al. 2022

International Journal of Distributed Sensor Networks

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With the continuous development of fifth-generation technology, the number of mobile terminal Internet of Things devices has increased exponentially. How to effectively improve the throughput of fifth-generation systems has become a challenge. In the Internet of Things networks, ultra-dense networks and non-orthogonal multiple access technology have drawn extensive attention in recent years, because they can achieve multiplexing from the space domain and power domain. To improve the throughput of the system, this article combines non-orthogonal multiple access with ultra-dense networks technology and considers the orthogonal frequency division multiplexing non-orthogonal multiple access–based ultra-dense networks with multiple base stations and multiple Internet of Things devices. In particular, first, we build the network model and channel model. Second, we construct the downlink transmission rate maximizing problem subject to the total power. Then, to solve this problem, we divide it into three sub-problems: device grouping, inter-sub-band power allocation, and intra-sub-band power allocation problems. Solving these sub-problems, we obtain the optimal power allocation schemes by jointly employing channel-state sorting–pairing algorithm, water-filling algorithm, and convex optimization theory. Finally, numerical simulations are conducted to validate the performance of our proposed optimal downlink power allocation scheme. Experimental results show that the total throughput of the system has been significantly improved.

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Joint User-Channel Assignment and Power Allocation For Non-Orthogonal Multiple Access In A 5G Heterogeneous Ultra-Dense Networks

Cited by 10 publications

References 11 publications

HERA: High-Efficiency Resource Allocation Scheme for Newly Joined Mobile Terminal in Heterogeneous Wireless Network

HERA: High-Efficiency Resource Allocation Scheme for Newly Joined Mobile Terminal in Heterogeneous Wireless Network

Channel Access‐Based Joint Optimization of AoI and SINR under Attack: Game Theory and Distributed Approach

Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things

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