Fair resource allocation for D2D communication in mmwave 5G networks

Swetha, Gadiraju Divija; Murthy, Garimella Rama

doi:10.1109/medhocnet.2017.8001654

Cited by 9 publications

(8 citation statements)

References 17 publications

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“…The results revealed through simulation showed that the presented solution of resource allocation could alleviate interference and enhance both spectral and energy efficiencies significantly while maintaining users’ QoS requirements. The authors of [ 113 ] presented an underlay device-to-device resource allocation utilizing an outdoor mmWave situation. The authors focused on the fair allocation of resources in a cell to enhance the spectral efficiency.…”

Section: Discussionmentioning

confidence: 99%

Resource Allocation Schemes for 5G Network: A Systematic Review

Kamal

Raza

Alam

et al. 2021

Sensors

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Fifth-generation (5G) communication technology is intended to offer higher data rates, outstanding user exposure, lower power consumption, and extremely short latency. Such cellular networks will implement a diverse multi-layer model comprising device-to-device networks, macro-cells, and different categories of small cells to assist customers with desired quality-of-service (QoS). This multi-layer model affects several studies that confront utilizing interference management and resource allocation in 5G networks. With the growing need for cellular service and the limited resources to provide it, capably handling network traffic and operation has become a problem of resource distribution. One of the utmost serious problems is to alleviate the jamming in the network in support of having a better QoS. However, although a limited number of review papers have been written on resource distribution, no review papers have been written specifically on 5G resource allocation. Hence, this article analyzes the issue of resource allocation by classifying the various resource allocation schemes in 5G that have been reported in the literature and assessing their ability to enhance service quality. This survey bases its discussion on the metrics that are used to evaluate network performance. After consideration of the current evidence on resource allocation methods in 5G, the review hopes to empower scholars by suggesting future research areas on which to focus.

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Section: Discussionmentioning

confidence: 99%

Resource Allocation Schemes for 5G Network: A Systematic Review

Kamal

Raza

Alam

et al. 2021

Sensors

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“…The formulated nonlinear optimization problem was solved by a heuristic algorithm to obtain sub-optimal results while satisfying the minimum data rate requirement. This study was extended in [9] where a resource allocation for underlay D2D in outdoor mmWave scenario was studied with emphasis on fair distribution of resources in a cell while maximizing Spectrum Efficiency (SE). The power allocation for the D2D users in a single cell was done by applying an iterative water filling algorithm which considered the interference experienced in resource blocks with sub-optimal results being obtained.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Resource Allocation in Millimeter-Wave D2D Enabled 5G Cellular Networks

Ombongi¹,

Absaloms

Kibet

2020

Eng. Technol. Appl. Sci. Res.

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The current trend has seen the data capacity and traffic density increase due to the increased demand for multimedia services. Since this cannot be handled successfully by the current 4G networks, there is a need to integrate the mmWave and the Device-to-Device (D2D) communication 5G technologies to meet this increased demand and traffic density. However, there is the challenge of increased interference between dense D2D users and cellular users if D2D users are allowed to reuse the resources allocated to cellular users. This degrades the performance of the D2D users in terms of achievable data rate and Energy Efficiency (EE). The paper formulates a match theoretic resource allocation scheme to maximize the achievable D2D sum rate. In addition, an EE optimization problem is formulated for D2D users by considering the rate and power constraints. The EE optimization problem is solved by the Lagrangian dual decomposition method. The algorithms were simulated in MATLAB and the results were compared to Hungarian and heuristic optimization algorithms. The results showed that the match theoretic resource allocation is on average 1.82 times better than the Hungarian algorithm. At the same time, the match theoretic resource allocation algorithm increases fairness in resource allocation as it maintains a higher sum rate for low and high-density number of users. The proposed EE optimization algorithm improved the D2D performance by 8.2% compared to the heuristic algorithm.

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“…In [32], a resource allocation for the outdoor mmwave D2D underlay network was considered to maximize spectrum efficiency by ensuring the resources are distributed fairly within a cell. e sum rate maximization problem was formulated to ensure optimal resource allocation.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…In [32], a single hexagonal cell of radius 500 m with a BS located at the center was considered for multiple cellular and multiple D2D pair network scenario. e D2D pairs were reusing the cellular user resources whenever the channel state information (CSI) was favourable.…”

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confidence: 99%

Resource Allocation in Millimeter-Wave Device-to-Device Networks

Ombongi

Absaloms

Kibet

2019

Mobile Information Systems

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Recently, the mobile wireless communication has seen explosive growth in data traffic which might not be supported by the current Fourth Generation (4G) networks. The Fifth Generation (5G) networks will overcome this challenge by exploiting a higher spectrum available in millimeter-wave (mmwave) band to improve network throughput. The integration of the millimeter-wave communication with device-to-device communication can be an enabling 5G scheme in providing bandwidth-intensive proximity-based services such as video sharing, live streaming of data, and socially aware networking. Furthermore, the current cellular network traffic can also be offloaded by the D2D user devices thereby reducing loading at Base Stations (BSs), which would then increase the system capacity. However, the mmwave D2D communication is associated with numerous challenges, which include signal blockages, user mobility, high-computational complexity resource allocation algorithms, and increase in interuser interference for dense D2D user scenario. The paper presents review of existing channel and power allocation approaches and mathematical resource optimization solution techniques. In addition, the paper discusses the challenges hindering the realization of an effective allocation scheme in mmwave D2D communication and gives open research issues for further study.

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Fair resource allocation for D2D communication in mmwave 5G networks

Cited by 9 publications

References 17 publications

Resource Allocation Schemes for 5G Network: A Systematic Review

Resource Allocation Schemes for 5G Network: A Systematic Review

Energy Efficient Resource Allocation in Millimeter-Wave D2D Enabled 5G Cellular Networks

Resource Allocation in Millimeter-Wave Device-to-Device Networks

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