Energy Efficient Resource Allocation in 5G Hybrid Heterogeneous Networks: A Game Theoretic Approach

Munir, Hamnah; Hassan, Syed Ali; Pervaiz, Haris; Ni, Qiang; Musavian, Leila

doi:10.1109/vtcfall.2016.7880988

Cited by 28 publications

(14 citation statements)

References 13 publications

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“…Thus, the capacity of mobile networks should increase to support the exponential growth in data traffic with minimum latency and jitter. Several deployment strategies of mobile networks can increase their capacity [233], namely: i) use of larger bandwidth by exploiting higher spectrum frequencies [163]; ii) increasing spectrum efficiency by using MIMO [161]; and iii) spatial reuse of spectrum by deploying D2D [31], small cells [218], and heterogeneous networks [66], including their energy-efficiency [234]. Open issues for D2D communications include the prevention of Denial-of-Service (DoS) attacks, particularly in D2D LANs [9].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Moura

Hutchison

2019

IEEE Commun. Surv. Tutorials

183

108

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Game Theory (GT) has been used with significant success to formulate, and either design or optimize, the operation of many representative communications and networking scenarios. The games in these scenarios involve, as usual, diverse players with conflicting goals. This paper primarily surveys the literature that has applied theoretical games to wireless networks, emphasizing use cases of upcoming Multi-Access Edge Computing (MEC). MEC is relatively new and offers cloud services at the network periphery, aiming to reduce service latency backhaul load, and enhance relevant operational aspects such as Quality of Experience or security. Our presentation of GT is focused on the major challenges imposed by MEC services over the wireless resources. The survey is divided into classical and evolutionary games. Then, our discussion proceeds to more specific aspects which have a considerable impact on the game's usefulness, namely: rational vs. evolving strategies, cooperation among players, available game information, the way the game is played (single turn, repeated), the game's model evaluation, and how the model results can be applied for both optimizing resource-constrained resources and balancing diverse trade-offs in real edge networking scenarios. Finally, we reflect on lessons learned, highlighting future trends and research directions for applying theoretical model games in upcoming MEC services, considering both network design issues and usage scenarios.

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Section: Wireless Sensor Networkmentioning

confidence: 99%

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Moura

Hutchison

2019

IEEE Commun. Surv. Tutorials

183

108

View full text Add to dashboard Cite

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“…However, the subchannel allocation might be unfair to some users (if the user's rate was not considered), e.g., if some users took almost all system resources while others had none. A game theory approach was used in [72] to maximize the EE of a hybrid HetNet by combining a noncooperative game with the decomposition optimization method. The work divided the HetNet into outer and inner layers, with the different aims of maximizing the SUE data rate and EE, respectively.…”

Section: ) Energy Efficiencymentioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on resource management, including spectrum utilization and interference mitigation, but the complexities of these resources have been given little attention. This paper provides an overview of the issues arising from future 5G systems and highlights their importance. The different approaches used in recently published surveys categorizing RRM schemes are discussed, and the survey method is presented. We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. These RRM schemes were subcategorized according to their optimization metrics and qualitatively analyzed and compared. An analysis of the complexity of RRM schemes in terms of implementation and computation is presented. Several potential scopes of research for future RRM in 5G HetNets are also identified.

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“…In Ref. [20], the authors considered the uplink of the hybrid HetNet having femtocells overlaid on the macrocell, and is proposing a two-layer game-theoretic framework to achieve energy efficiency (EE) while increasing the usage of network resources. The proposed outer layer allows each femtocell access point (FAP) to maximize the use of the data rate for its users by opting for the frequency band ranging between sub-6 GHz and the mmWave.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Resource Allocation for M2M Devices in 5G

Ali

Shah

Arshad

2019

Sensors

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Resource allocation for machine-type communication (MTC) devices is one of the keys challenges in the 5G network as it affects the lifetime of battery powered devices and also the quality of service of the applications. MTC devices are battery restrained and cannot afford a lot of power consumption due to spectrum usage. In this paper, we propose a novel resource allocation algorithm termed threshold controlled access (TCA) protocol. We propose a novel technique of uplink resource allocation in which the devices make a decision of resource allocation blocks based on their battery status and related application’s power profile that eventually leads to required quality of service (QoS) metric. The first phase of the TCA algorithm selects the number of carriers to be allocated to a certain device for the better lifetime of low power MTC devices. In the second phase, the efficient solution is implemented through inducing a threshold value. A certain value of the threshold is selected through a mapping based on a QoS metric. The threshold enhances the selection of subcarriers for less powered devices, such as small e-health sensors. The algorithm is simulated for the physical layer of the 5G network. Simulation results show that the proposed algorithm is less complex and achieves better performance when compared to existing solutions in the literature.

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Energy Efficient Resource Allocation in 5G Hybrid Heterogeneous Networks: A Game Theoretic Approach

Cited by 28 publications

References 13 publications

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Survey of Radio Resource Management in 5G Heterogeneous Networks

Energy Efficient Resource Allocation for M2M Devices in 5G

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