Energy-Efficient Scheduling for mmWave Backhauling of Small Cells in Heterogeneous Cellular Networks

Niu, Yong; Gao, Chuhan; Li, Yong; Su, Li; Jin, Depeng; Zhu, Yun; Wu, Dapeng

doi:10.1109/tvt.2016.2582785

Cited by 120 publications

(116 citation statements)

References 33 publications

(48 reference statements)

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“…3) Considering the advantages of mm-wave, such as huge bandwidth, the latest emerging works [2], [24]- [26] open the direction for studying heterogeneous networks in the mm-wave bands. Su et al [24] studied the user association and wireless backhaul allocation in a two-tier heterogeneous network operating in the mm-wave band.…”

Section: Related Workmentioning

confidence: 99%

“…Su et al [24] studied the user association and wireless backhaul allocation in a two-tier heterogeneous network operating in the mm-wave band. Niu et al [2] developed an energyefficient mm-wave backhauling scheme to deal with the joint optimization problem of concurrent transmission scheduling and power control of small cells densely deployed in HCNs. Niu et al [25] jointly designed the scheduling problem of radio access and backhaul for small cells in the mm-wave band.…”

Section: Related Workmentioning

confidence: 99%

“…Many efforts have been made to tackle this issue. Heterogeneous cellular networks (HCNs) with small cells densely deployed underlaying the macrocells have shown great potential to increase frequency reuse and system capacities [2]. Besides, due to the scarcity of practical radio frequency resources, many mobile network operators have dedicated to exploit new spectrum bands.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Chen

Niu

et al. 2019

IEEE Trans. Veh. Technol.

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Heterogeneous cellular networks (HCNs) with millimeter wave (mm-wave) communications are considered as a promising technology for the fifth generation mobile networks. Mm-wave has the potential to provide multiple gigabit data rate due to the broad spectrum. Unfortunately, additional free space path loss is also caused by the high carrier frequency. On the other hand, mm-wave signals are sensitive to obstacles and more vulnerable to blocking effects. To address this issue, highly directional narrow beams are utilized in mm-wave networks. Additionally, device-to-device (D2D) users make full use of their proximity and share uplink spectrum resources in HCNs to increase the spectrum efficiency and network capacity. Towards the caused complex interferences, the combination of D2Denabled HCNs with small cells densely deployed and mm-wave communications poses a big challenge to the resource allocation problems. In this paper, we formulate the optimization problem of D2D communication spectrum resource allocation among multiple micro-wave bands and multiple mm-wave bands in HCNs. Then, considering the totally different propagation conditions on the two bands, a heuristic algorithm is proposed to maximize the system transmission rate and approximate the solutions with sufficient accuracies. Compared with other practical schemes, we carry out extensive simulations with different system parameters, and demonstrate the superior performance of the proposed scheme. In addition, the optimality and complexity are simulated to further verify effectiveness and efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Chen

Niu

et al. 2019

IEEE Trans. Veh. Technol.

Self Cite

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“…With the increase in bandwidth, capacity will also get increased, while the latency will get decreased, which give rise to better internet based access and applications like real time streaming. Since the wavelength of millimeter wave frequencies are very small, so it will utilize polarization and different spatial processing techniques like massive MIMO and adaptive beam-forming [7].…”

Section: Millimeter-wavementioning

confidence: 99%

Challenges of 5G Network and Technologies Used to Tackle the Problems

Bhakoriya¹

2017

IJRASET

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In the future generation of network, data traffic in cellular network increasing rapidly. With the explosive growth of mobile internet application, mobile users are also increased. The prime objective or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of service then 4G. This paper presents some key technologies used in 5 th generation (5G) network which are helpful to meet the demands of users. In this we focus on the Millimeter-wave and Massive multiple-input multiple-output (M-MIMO) technology which helps to increase the data rate (in Gbps). Along with this device-to-device (D2D) communication, densification of network, machine-to-machine communication are the technologies which are very useful to deal with the challenges like spectral efficiency, end-to-end latency and number of connected devices. At last we will see the development of 5G around the world. KEYWORD: Massive multiple input multiple output [MIMO], small cells, milimeter wave [mmwave], ultra-densification, machine-to-machine.I. INTRODUCTION With the popularization of wireless multimedia communication, the wireless traffic is predicted to be increased more than 100 times in the next decade. So this explosive demand of mobile data results in several challenges which shifted the research directions to the fifth generation networks [1]. 5G networks are intended to provide significantly high data rate access and guaranteed quality-ofservice (QoS). Some new technologies e.g. massive multi-input multi-output antennas [MIMO], millimeter wave, device-to-device communication (D2D), energy efficient communications and small cell networks are developed to support high speed wireless transmission in future fifth generation (5G) mobile communication system [2]. Heterogeneous network (HetNet) is an evolutionary path to the fifth generation communications [3]. HetNet uses the multiple radio access technologies. It support much more efficient resource utilization and meet the quality of service requirement. The objective of 5G network is to increased capacity, improved data rate, decreased latency and better quality of services with respect to 4G. The various challenges occur in 5G network is high traffic volume, intercell interference, increased small cell, improved energy consumption and massive connectivity. A. High traffic volumeThe future requirement is to increase 1000x data traffic for 2020 and beyond. B. Increased small cellThe majority of mobile traffic volume is make by small cell or hotspot. C. Intercell interferenceUltra-dense network is responsible for intercell interference. D. Massive connectivityHigher number of connected devices (50 billion connected device by 2020) are supported by internet of things (IoT) and machine to machine (M2M) communication E. Energy consumption 5G Green network is used to improved energy consumption.F. Increased data rate 10 to 100 times increased typical data rate.

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“…Recently, power control mechanism has been investigated with various power allocation and scheduling approaches to minimise the transmitted power at cells for mitigating interferences in cellular networks while still guaranteeing sufficiently received signal power at the mobile users [15][16][17][18][19]. However, considering the practical cellular networks, a number of buildings and mobile devices cause considerable fading, shadowing, noises and interferences.…”

Section: Introductionmentioning

confidence: 99%

On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints

Omorinoye

Vien

2017

Applied Sciences

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Wireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to deal with a high demand of mobile users for a variety of services. Over such heterogeneous networks, the deployment of WIOMs costs mobile/telecommunications company high capital expenditures and operating expenses. This paper aims at optimising the WIOMs taking into account various network communication environments. We first develop an optimisation problem to minimise the number of cells as well as determining their optimal locations subject to the constraints of the coverage and quality-of-service (QoS) requirements. In particular, we propose a binary-search based cell positioning (BSCP) algorithm to find the optimal number of cells given a preset candidate antenna positions. The proposed BSCP algorithm is shown to not only reduce the number of cells for saving resources but also requires a low computational complexity compared to the conventional approaches with exhaustive search over all available sites. Moreover, EDX SignalPro is exploited as a simulation platform to verify the effectiveness of the proposed BSCP for the WIOMs with respect to various propagation modes and antenna parameters of different types, including isotropic, multiple-input single-output and multiple-input multiple-output.

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Energy-Efficient Scheduling for mmWave Backhauling of Small Cells in Heterogeneous Cellular Networks

Cited by 120 publications

References 33 publications

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

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

Challenges of 5G Network and Technologies Used to Tackle the Problems

On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints

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