A Survey of 5G Channel Measurements and Models

Wang, Cheng-Xiang; Bian, Jin; Sun, Jian; Zhang, Wensheng; Zhang, Minggao

doi:10.1109/comst.2018.2862141

Cited by 435 publications

(198 citation statements)

References 197 publications

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“…It can depend on many transmission factors, for example, transmitter power, antenna type and its gain, channel structure and its reflection, refraction and diffraction effect. The purpose of path loss modeling is to evaluate the magnitude of attenuation experienced by broadcasting radio signals over a distance, which is useful for designing for 5G communications systems [14]. This section provides the results and analysis for path loss, diffraction, frequency drop, power delay profile and time dispersion parameters.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the millimeter wave (mm-wave) band is chosen as a potential candidate for the next generation wireless networks, i.e., 5G, where more bandwidths are available with up to 10 times the capacity of today's cellular networks [11]. Moreover, the feasibility of mobile broadband systems in frequency bands above 6 GHz has been reported in academic and industry research [1, [12][13][14][15]. For frequency bands below 6 GHz, it is worth to note that the licensed spectrum of 3.5 GHz could be potentially allocated for 5G applications [4,16].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

et al. 2019

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It has been widely speculated that the performance of the next generation based wireless network should meet a transmission speed on the order of 1000 times more than the current cellular communication systems. The frequency bands above 6 GHz have received significant attention lately as a prospective band for next generation 5G systems. The propagation characteristics for 5G networks need to be fully understood for the 5G system design. This paper presents the channel propagation characteristics for a 5G system in line of sight (LOS) and non-LOS (NLOS) scenarios. The diffraction loss (DL) and frequency drop (FD) are investigated based on collected measurement data. Indoor measurement results obtained using a high-resolution channel sounder equipped with directional horn antennas at 3.5 GHz and 28 GHz as a comparative study of the two bands below and above 6 GHz. The parameters for path loss using different path loss models of single and multi-frequencies have been estimated. The excess delay, root mean square (RMS) delay spread and the power delay profile of received paths are analyzed. The results of the path loss models show that the path loss exponent (PLE) in this indoor environment is less than the free space path loss exponent for LOS scenario at both frequencies. Moreover, the PLE is not frequency dependent. The 3GPP path loss models for single and multi-frequency in LOS scenarios have good performance in terms of PLE that is as reliable as the physically-based models. Based on the proposed models, the diffraction loss at 28 GHz is approximately twice the diffraction loss at 3.5 GHz. The findings of the power delay profile and RMS delay spread indicate that these parameters are comparable for frequency bands below and above 6 GHz.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

et al. 2019

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“…On the other hand, COST-type GSCM [32] defines the physical position of the scatterers in the simulation area. A comprehensive study for all channel models proposed and evaluated in the concept of 5G networks is described in [33]. In this context, the requirements for 5G accurate channel modeling are first outlined, and then an extensive review of the recent channel measurements and models is provided.…”

Section: Channel Modeling For Mimo Wireless Orientationsmentioning

confidence: 99%

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

2020

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Ιn this review article, a comprehensive study is provided regarding the latest achievements in simulation techniques and platforms for fifth generation (5G) wireless cellular networks. In this context, the calculation of a set of diverse performance metrics, such as achievable throughput in uplink and downlink, the mean Bit Error Rate, the number of active users, outage probability, the handover rate, delay, latency, etc., can be a computationally demanding task due to the various parameters that should be incorporated in system and link level simulations. For example, potential solutions for 5G interfaces include, among others, millimeter Wave (mmWave) transmission, massive multiple input multiple output (MIMO) architectures and non-orthogonal multiple access (NOMA). Therefore, a more accurate and realistic representation of channel coefficients and overall interference is required compared to other cellular interfaces. In addition, the increased number of highly directional beams will unavoidably lead to increased signaling burden and handovers. Moreover, until a full transition to 5G networks takes place, coexistence with currently deployed fourth generation (4G) networks will be a challenging issue for radio network planning. Finally, the potential exploitation of 5G infrastructures in future electrical smart grids in order to support high bandwidth and zero latency applications (e.g., semi or full autonomous driving) dictates the need for the development of simulation environments able to incorporate the various and diverse aspects of 5G wireless cellular networks.

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“…2 Said Mikki is with University of New Haven, West Haven, Connecticut, 300 Boston Post Rd, 06516, USA (Email: said.m.mikki@gmail.com). 3 c 20XX IEEE. Personal use of this material is permitted.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Analytical Evaluation of the Electromagnetic Cross Correlation Green’s Function in MIMO Systems

Sarkar

Mikki

Antar

2019

IEEE Trans. Antennas Propagat.

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In this paper, we completely eliminate all numerical integrations needed to compute the far-field envelope crosscorrelation (ECC) in multiple-input-multiple-output (MIMO) systems by deriving accurate and efficient analytical expressions for the frequency-domain cross-correlation Green's functions (CGF), the most fundamental electromagnetic kernel needed for understanding and estimating spatial correlation metrics in multiple-antenna configurations. The analytical CGF is derived for the most general three-dimensional case, which can be used for fast CGF-based correlation matrix calculations in MIMO systems valid for arbitrary locations and relative polarizations of the constituent elements.

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A Survey of 5G Channel Measurements and Models

Cited by 435 publications

References 197 publications

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

An Efficient Analytical Evaluation of the Electromagnetic Cross Correlation Green’s Function in MIMO Systems

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