Secrecy Spectrum and Energy Efficiency Analysis in Massive MIMO-Enabled Multi-Tier Hybrid HetNets

Umer, Anum; Hassan, Syed Ali; Pervaiz, Haris; Musavian, Leila; Ni, Qiang; Imran, Muhammad Ali

doi:10.1109/tgcn.2019.2956433

Cited by 17 publications

(12 citation statements)

References 40 publications

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“…Using stochastic geometry, the performance of MIMO-aided HCNets in terms of secrecy outage, energy efficiency, and average harvested energy was studied in [3], [24], [25], where the authors highlighted the superiority of MIMO transmissions in HCNets. To the best of our knowledge, the performance of an aerial terrestrial network with a massive MIMO-equipped TBS has not been analyzed in the literature.…”

Section: A Related Workmentioning

confidence: 99%

“…Several emerging technologies, including dense heterogeneous cellular networks (HCNet), millimeter waves, and massive multiple-input-multiple-output (MIMO) systems have been proposed to address this high throughput requirement. 5G is expected to be the integration of these technologies, rather than just one of them [2], [3]. HCNet provides multi-tier deployment of small cells operated by low-power base stations (BS) with variable operating frequencies and communication ranges in the existing macrocells, which results in enhanced coverage and throughput [4].…”

Section: Introductionmentioning

confidence: 99%

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Massive MIMO Assisted Aerial-Terrestrial Network: How Many UAVs Need to Be Deployed?

Ullah¹,

Choi²

2022

Preprint

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The deployment of new airborne small cells in conjunction with an existing network equipped with a multiple-input multiple-output (MIMO) system can be a promising solution to meet the high throughput and coverage needs of future networks. In this study, we present the potential benefits of deploying a large number of antenna elements in downlink vertical heterogeneous cellular networks (VHCNets). The network model consists of a terrestrial base station (TBS) with an array of massive antenna elements and an aerial base station (ABS) with a single antenna to provide connectivity for ground user equipment (GUEs). The locations of the TBS and ABS are modeled as two-dimensional and three-dimensional Poisson point processes, respectively. An appropriate air-to-ground channel model encompasses both line-of-sight (LOS) and non-line-of-sight (NLOS) communication between GUEs and ABS. Using the concepts of stochastic geometry, the performance of the VHCNet was analyzed in terms of coverage probability, area spectral efficiency, and average ergodic rate. The approximated expressions for these performance metrics were validated using Monte Carlo simulations, and a close match was observed between the analytical and simulated results. Based on the simulation results, subsequent use of a massive number of antennas at TBSs in conjunction with ABSs in the VHCNet can improve the overall performance of the network. <br>

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Section: A Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Massive MIMO Assisted Aerial-Terrestrial Network: How Many UAVs Need to Be Deployed?

Ullah¹,

Choi²

2022

Preprint

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“…But none of the above work shows tested results based on fabricated prototype [11][12][13][14].The literature survey also shows that the antenna has been designed in low frequency (i.e. in ISM band) and simulation results have been displayed without any test results [15][16][17][18]. Also some research works shows the design of array antenna in hexagonal or triangular configuration [19].…”

Section: Introductionmentioning

confidence: 99%

Sub-6 GHz band massive MIMO antenna system for variable deployment scenarios in 5G base stations

Darwin¹,

Sampath

2022

Microsyst Technol

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A compact massive MIMO antenna system with 1x4 (sector) subarray setup working at sub-6 GHz range for 5G base stations has been planned and broke down in different configurations(rectangular, triangular and hexagonal). The limit of a system can be expanded by more than 10 times whereas the energy efficiency can be expanded 100 times utilizing a Massive MIMO system. A limit of 5 sectors has been utilized with every sector containing 1x4 subarray components. Every sector comprises of three layers, in which 1x4 patches is situated on its top layer though it's taking care of organization and ground plane has been set in the base layer and the centre layer individually. The whole system can work in two modes, singular port activity andmassive MIMO exhibit activity with shaft guiding abilities. The deliberate data transmission of the framework is 140 MHz that covers the frequencies from 3.36 GHz to 3.50 GHz in sub-6 GHz band. The general component of a unit subarray regarding length, width and tallness was 280.5 x 56.1 x 2 mm 3 .The gain of an individual port is discovered to be 12.95 dBi and the general addition of a single panel with 5 sectors arranged in rectangular structure is 19.73 dBi.Mutual couplingamong all the ports has been kept not exactly -16 dB. The working frequency of the radio antenna array system is picked in the scope of 3.3 GHz to 3.8 GHz as this band has been assigned and focused across the globe to empower 5G in Sub-6 GHz band.

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“…A wireless backhaul-based downlink rate enhancement technique for multi-antenna HetNet is presented in the literature [ 23 ]. A tractable approach is developed for evaluation of the spectral and energy efficiency in a massive MIMO-enabled three-tier network considering the presence of eavesdroppers [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Enabled Performance Prediction Model for Massive-MIMO HetNet System

Bandopadhaya

Samal

Poulkov

2021

Sensors

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To support upcoming novel applications, fifth generation (5G) and beyond 5G (B5G) wireless networks are being propelled to deploy an ultra-dense network with an ultra-high spectral efficiency using the combination of heterogeneous network (HetNet) solutions and massive Multiple Input Multiple Output (MIMO). As the deployment of massive MIMO HetNet systems involves a high capital expenditure, network service providers need a precise performance analysis before investment. The performance of such networks is limited because of presence of inter-cell and inter-tier interferences. The conventional analytic approach to model the performance of such networks is not trivial, as the performance is a stochastic function of many network parameters. This paper proposes a machine learning (ML) approach to predict the network performance of a massive MIMO HetNet system considering a multi-cell scenario. This paper considers a two-tier network in which the base stations of each tier are equipped with massive MIMO systems working in a sub 6GHz band. The coverage probability (CP) and area spectral efficiency (ASE) are considered to be the network performance metrics that quantify the reliability and achievable rate in the network, respectively. Here, an ML model is inferred to predict the numerical values of the performance metrics for an arbitrary network configuration. In the process of practical deployments of future networks, the use of this model could be very valuable.

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Secrecy Spectrum and Energy Efficiency Analysis in Massive MIMO-Enabled Multi-Tier Hybrid HetNets

Cited by 17 publications

References 40 publications

Massive MIMO Assisted Aerial-Terrestrial Network: How Many UAVs Need to Be Deployed?

Massive MIMO Assisted Aerial-Terrestrial Network: How Many UAVs Need to Be Deployed?

Sub-6 GHz band massive MIMO antenna system for variable deployment scenarios in 5G base stations

Machine Learning Enabled Performance Prediction Model for Massive-MIMO HetNet System

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