Energy-Efficient Utility Function-Based Channel Resource Allocation and Power Control for D2D Clusters With NOMA Enablement in Cellular Networks

Wu, GuoWei; Chen, Guifen.; Chen, Guangjiao

doi:10.1109/access.2023.3264483

IEEE Access

2023

DOI: 10.1109/access.2023.3264483

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Energy-Efficient Utility Function-Based Channel Resource Allocation and Power Control for D2D Clusters With NOMA Enablement in Cellular Networks

GuoWei Wu

Guifen. Chen

Guangjiao Chen

Abstract: Device-to-device(D2D) communication combined with non-orthogonal multiple access(NOMA) can further improve the quality of service for future communications systems and increase spectrum utilization and connection density in cellular networks. In this paper, an effective power allocation scheme is designed to optimize the performance of a D2D communication system based on NOMA for imperfect Successive Interference Cancellation(SIC) decoding. To solve the non-convexity of the problem due to integer constraints a… Show more

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Cited by 3 publications

References 30 publications

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A New Spectrum and Energy Efficiency Trade‐Off Control Paradigm for D2D Communications

Kim

2024

Int J Communication

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Device‐to‐device (D2D) technology has been extensively studied by virtue of its ability to reduce traffic load and communication delay while improving network performance. However, it is a challenging issue to simultaneously coordinate the energy efficiency (EE) and spectrum efficiency (SE) in D2D communications. In this paper, we investigate a multiobject optimization problem with conflicting criteria and propose a new solution paradigm to balance the EE and SE. Based on the ideas of multicriteria decision‐making method and bargaining game theory, we develop a new power control scheme for D2D communications. The major novelty of our approach is to strike a balance between the EE and SE through the developed multiple criteria bargaining process. The quantification of EE‐SE tradeoff is appropriately negotiated to reach a mutually acceptable agreement. Therefore, the proposed scheme selects the best power strategy that exploits the varying D2D communication conditions. To reduce the complexity, each individual D2D communication pair executes the power control algorithm independently and iteratively in a distributed manner. Therefore, the proposed scheme can be implemented with the acceptable polynomial complexity. Finally, extensive simulation results are presented to demonstrate the effectiveness and outperformance of the proposed scheme over the existing state‐of‐the‐art protocols in terms of device payoff, D2D system throughput, and energy efficiency ratio. Our proposed multicriteria bargaining paradigm can be concerned to solve different kinds of multi‐object problem for various application scenarios.

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A New Spectrum and Energy Efficiency Trade‐Off Control Paradigm for D2D Communications

Kim

2024

Int J Communication

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DRL-Based Resource Allocation for NOMA-Enabled D2D Communications Underlay Cellular Networks

Jeong,

Yu,

Lee

2023

IEEE Access

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Since the emergence of device-to-device (D2D) communications, an efficient resource allocation (RA) scheme with low-complexity suited for high variability of network environments has been continuously demanded. As a solution, we propose a RA scheme based on deep reinforcement learning (DRL) for D2D communications exploiting cluster-wise non-orthogonal multiple access (NOMA) protocol underlay cellular networks. The goal of RA is allocating transmit power and channel spectrum to D2D links to maximize a benefit. We analyze and formulate the outage of NOMA-enabled D2D links and investigate performance measures. To alleviate system overhead and computational complexity with maintaining high benefit, we propose a sub-optimal RA scheme under a centralized multi-agent DRL framework. Each agent corresponding to each D2D cluster trains its own artificial neural networks in a cyclic manner with a timingoffset. The proposed DRL-based RA scheme enables prompt allocation of resources to D2D links based on the observation of time-varying environments. The proposed RA scheme outperforms other schemes in terms of benefit, energy efficiency, fairness and coordination of D2D users, where the performance gain becomes significant when the mutual interference among user equipments is severe. In a cell of radius 100-meter with target rates for D2D and cellular links of 2 and 8 bits/s/Hz, respectively, the proposed RA scheme improves normalized benefit, energy efficiency, fairness and coordination of D2D users by 18%, 23%, 75% and 80%, respectively, over a greedy scheme. The improvements in these performance measures over a random RA scheme are 152%, 164%, 87% and 77%, respectively.

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An Iterative-Based Optimum Power and Resource Allocation in Application-Dependent Scenarios for One-to-One D2D Communication

Raghu,

Kiran

2024

IEEE Access

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Efficient and timely sharing of critical information is crucial for Public Safety (PS) communications, which can be fulfilled using one of the cutting-edge technologies, Device-to-device (D2D) communication. During an emergency, the PS applications should be prioritized over other applications, ensuring the emergency messages reach the first responders in time. Due to its inherent characteristics, the evolved Node Base station will not prioritize or categorize the D2D communication based on its application type, thus treating all applications equally. Further, D2D communication introduces significant interference to cellular users and vice-versa while sharing resources, and it is vital to reduce the impact of these interferences to ensure the Quality of Service for all users in the network. Hence, this article proposes a novel interference management approach to increase the overall sum rate of the system. In addition, the proposed approach also allows more D2D communication in general, particularly PS applicationbased D2D communication, to be active in the network. As the formulated problem is a Mixed-Integer Non-Linear Programming (MINLP) type of problem, it is split into two sub-problems, namely, Iterative Resource Allocation and Sharing and Iterative Power Optimization to achieve a polynomial time complexity. The theoretical proofs adequately explain the algorithm's time complexity and convergence property. The simulation results show that the proposed system enhances the overall sum rate by allowing more active PS D2D applications in the network.INDEX TERMS D2D communication, power optimization, interference management, iterative algorithm, one-to-one resource allocation.Recent research explores the possibility of sharing the Resource Blocks (RBs) (the smallest chunk of the spectrum) of Cellular User Equipment (CUEs) with D2D User Equipment (DUE) in underlay in-band communication to significantly enhance spectrum efficiency [4]. The different resource-sharing strategies in practice are one-to-one, oneto-many, and many-to-many. In the one-to-one technique,

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Energy-Efficient Utility Function-Based Channel Resource Allocation and Power Control for D2D Clusters With NOMA Enablement in Cellular Networks

Cited by 3 publications

References 30 publications

A New Spectrum and Energy Efficiency Trade‐Off Control Paradigm for D2D Communications

A New Spectrum and Energy Efficiency Trade‐Off Control Paradigm for D2D Communications

DRL-Based Resource Allocation for NOMA-Enabled D2D Communications Underlay Cellular Networks

An Iterative-Based Optimum Power and Resource Allocation in Application-Dependent Scenarios for One-to-One D2D Communication

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