Coverage Analysis for Millimeter Wave Networks: The Impact of Directional Antenna Arrays

Yu, Xianghao; Zhang, Jun; Haenggi, Martin; Letaief, Khaled B.

doi:10.1109/jsac.2017.2699098

Cited by 208 publications

(166 citation statements)

References 32 publications

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“…It is shown that cooperation among randomly located BSs can effectively increase the coverage probability. By using tools from stochastic geometry, a general and tractable framework for coverage analysis with arbitrary distributions for interference power and arbitrary antenna patterns was developed and applied to mmWave ad hoc networks exploiting directional antenna arrays in [245]. It is shown that the coverage probabilities of mmWave ad hoc networks increase as a non-decreasing concave function with the antenna array size.…”

Section: Coverage and Connectivitymentioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

989

530

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Abstract-Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to rates of multiple Gbps (gigabit per second) per user. Though mmWave can be readily used in stationary scenarios such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult. To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed. This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond). We first summarize the recent channel measurement campaigns and modeling results. Then, we discuss in detail recent progresses in multiple input multiple output (MIMO) transceiver design for mmWave communications. After that, we provide an overview of the solution for multiple access and backhauling, followed by analysis of coverage and connectivity. Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed.

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Section: Coverage and Connectivitymentioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

989

530

View full text Add to dashboard Cite

show abstract

“…It should be noted that all studies in [7]- [10] characterized the impacts of beamforming of antenna arrays based on the flat-top model. The sinc and cosine antenna models were used to analyze the impacts of antenna array size on coverage performance in [11]. Unfortunately, since the antenna models in [11] were too complicated, the analysis was limited to the scenarios in which each mobile station (MS) is assumed to be equipped with only one single antenna.…”

Section: Introductionmentioning

confidence: 99%

“…The sinc and cosine antenna models were used to analyze the impacts of antenna array size on coverage performance in [11]. Unfortunately, since the antenna models in [11] were too complicated, the analysis was limited to the scenarios in which each mobile station (MS) is assumed to be equipped with only one single antenna. Moreover, the analyses in [7]- [11] assumed the beam alignment to be perfect which is impossible for practical systems.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, since the antenna models in [11] were too complicated, the analysis was limited to the scenarios in which each mobile station (MS) is assumed to be equipped with only one single antenna. Moreover, the analyses in [7]- [11] assumed the beam alignment to be perfect which is impossible for practical systems. With imperfect beam alignment, the ergodic capacity for mmWave ad hoc networks was analyzed in [12].…”

Section: Introductionmentioning

confidence: 99%

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Coverage Analysis for Millimeter Wave Cellular Networks with Beam Alignment Errors

Cheng

Wang

et al. 2017

2017 IEEE Globecom Workshops (GC Wkshps)

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Abstract-Millimeter wave (mmWave) communication is a promising approach to satisfy the demanding high data rate requirement of next generation mobile communications. This paper studies the downlink coverage performance of mmWave cellular networks with beam alignment errors. An enhanced antenna model is adopted to model the directional antenna beamforming pattern, in which the mainlobe beamwidth and directivity gains can be expressed as functions of the number of elements in the antenna array. After deriving the probability density function (PDF) of distance between mobile station (MS) and its serving base station (BS), the directivity gain with beam alignment errors is obtained as a discrete random variable. Then, a computationally tractable expression is derived for the coverage probability of mmWave cellular networks. Numerical results indicate that small beam alignment errors will not deteriorate the coverage probability significantly. Moreover, when the beam alignment error is small enough, the coverage performance can be improved by increasing the number of elements in the antenna array.

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“…This is similar to the model used for conventional sub-6 GHz systems where channel gain is obtained as the product of a Rayleigh or Nakagami-m random variable which accounts for small scale fading effect, and a path loss term that models the large scale fading effect. Similarly, a recent work on coverage analysis for mmWave line-of-sight (LOS) links with analog beamforming [6] approximates the beamformed directional channel by a random gain component based on the uniformly random single path (UR-SP) assumption. However, in non-LOS (NLOS) mmWave channels the power content of multi-path components [7] are comparable, and thus the modeling approaches considered for beamformed directional channels in existing literature are not applicable.…”

mentioning

confidence: 99%

On Bounds of Spectral Efficiency of Optimally Beamformed NLOS Millimeter Wave Links

Rakesh

Das

2018

IEEE Trans. Veh. Technol.

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Abstract-Beamforming is an indispensable feature for millimeter wave (mmWave) wireless communications in order to compensate for the severe path loss incurred due to high frequency operation. In this paper, we introduce a novel framework to evaluate the spectral efficiency (SE) of non-line-ofsight (NLOS) mmWave links with optimal analog beamforming. Optimality here implies the joint selection of antenna beams at the transmitter and receiver which simultaneously maximize the received power. We develop a mathematical framework based on the extended Saleh-Valenzuela channel model to embody the impact of optimal analog beamforming into the performance metrics for NLOS mmWave links. Practical mmWave channels are characterized by sparsity in terms of number of multi-path components; we exploit this feature to derive upper and lower bounds on SE of beamformed directional links. Simulation results reveal that the proposed approach is fairly accurate to model beamformed links in most practical operating scenarios. We also study the impact of overhead due to antenna beam training on the throughput (TP) of a link and obtain an approximate solution for optimal antenna half power beamwidth which maximizes TP.

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Coverage Analysis for Millimeter Wave Networks: The Impact of Directional Antenna Arrays

Cited by 208 publications

References 32 publications

Millimeter Wave Communications for Future Mobile Networks

Millimeter Wave Communications for Future Mobile Networks

Coverage Analysis for Millimeter Wave Cellular Networks with Beam Alignment Errors

On Bounds of Spectral Efficiency of Optimally Beamformed NLOS Millimeter Wave Links

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