Resource Allocation for Device-to-Device Communications in Multi-Cell Multi-Band Heterogeneous Cellular Networks

Chen, Yali; Ai, Bo; Niu, Yong; He, Ruisi; Zhang, Zhong; Han, Zhu

doi:10.1109/tvt.2019.2903858

“…Full-duplex NOMA HetNet [137] Full-duplex cellular HetNet [138,139] TDD NOMA multi-antenna HetNet [140] NOMA H-CRAN NOMA H-CRAN [141,142] NOMA relay HetNet [143] EH HetNet NOMA HetNet with EH [147,148] D2D HetNet with EH [149,150] EH based Het-IoT [151] SWIPT based HetHet [152][153][154][155] MEC HetNet MEC HetNet [144] MEC NOMA HetNet [145] Self-organizing MEC HetNet [146] others VLC/RF HetNet [156] Cognitive HetNet [157] D2D HetNet [158] NOMA HVN [159] NOMA Het-IoT [160] Fig . 12.…”

Section: Full Duplex Hetnetmentioning

confidence: 99%

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges

Xu¹,

Gui²,

Li³

et al. 2020

Preprint

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In the fifth-generation (5G) wireless communications system, various service requirements under different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous networks (HetNet) have been fully studied in recent years. In contrast to conventional homogeneous networks, the key feature of HetNet is to increase the opportunity of spatial resource reuse and improve the quality of service of users by allowing small cells to cooperate in macrocell networks. However, since the mutual interference among different users and the limited resource are existing in HetNets, efficient resource allocation (RA) schemes are very important to reduce the interference and achieve spectrum sharing. In this paper, we provide a comprehensive survey on RA in HetNets for 5G communications. Specifically, we first introduce the definition and different network scenarios of HetNet. Second, RA models are discussed. Then, we present classification to analyze current RA schemes in the existing references. Finally, some challenging open issues and future research trends are addressed in this field. We also provide two effective approaches for the sixth-generation (6G) communications to solve the RA problems of future HetNets, namely, a learning-based approach and a control theory-based approach. This paper provides important information on HetNets, which can be used to guide the development of more efficient RA schemes in this area.

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“…Liu et al and Chen et al [14,15] analyzed the outage probability of body area networks when operating in a cellular band. Due to this operation in a cellular network, the on-body sensors become susceptible to interference from other cellular users.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Saraereh

¹

,

Alsaraira

²

,

Khan

³

et al. 2020

Sensors

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The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

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“…Full-duplex NOMA HetNet [137] Full-duplex cellular HetNet [138,139] TDD NOMA multi-antenna HetNet [140] NOMA H-CRAN NOMA H-CRAN [141,142] NOMA relay HetNet [143] EH HetNet NOMA HetNet with EH [147,148] D2D HetNet with EH [149,150] EH based Het-IoT [151] SWIPT based HetHet [152][153][154][155] MEC HetNet MEC HetNet [144] MEC NOMA HetNet [145] Self-organizing MEC HetNet [146] others VLC/RF HetNet [156] Cognitive HetNet [157] D2D HetNet [158] NOMA HVN [159] NOMA Het-IoT [160] Fig . 12.…”

Section: Full Duplex Hetnetmentioning

confidence: 99%

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges

Xu¹,

Gui²,

Li³

et al. 2020

Preprint

5

0

View full text Add to dashboard Cite

In the fifth-generation (5G) wireless communications system, various service requirements under different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous networks (HetNet) have been fully studied in recent years. In contrast to conventional homogeneous networks, the key feature of HetNet is to increase the opportunity of spatial resource reuse and improve the quality of service of users by allowing small cells to cooperate in macrocell networks. However, since the mutual interference among different users and the limited resource are existing in HetNets, efficient resource allocation (RA) schemes are very important to reduce the interference and achieve spectrum sharing. In this paper, we provide a comprehensive survey on RA in HetNets for 5G communications. Specifically, we first introduce the definition and different network scenarios of HetNet. Second, RA models are discussed. Then, we present classification to analyze current RA schemes in the existing references. Finally, some challenging open issues and future research trends are addressed in this field. We also provide two effective approaches for the sixth-generation (6G) communications to solve the RA problems of future HetNets, namely, a learning-based approach and a control theory-based approach. This paper provides important information on HetNets, which can be used to guide the development of more efficient RA schemes in this area.

show abstract

Resource Allocation for Device-to-Device Communications in Multi-Cell Multi-Band Heterogeneous Cellular Networks

Cited by 45 publications

References 36 publications

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges

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