Performance Analysis of Millimeter Wave Cloud Radio Access Networks

He, Huasen; Xue, Jiang; Ratnarajah, Tharmalingam; Sellathurai, Mathini

doi:10.1109/glocom.2016.7842130

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…of L I L (s) and L I N (s) are similar to(16) and(17), respectively. Thus, we only present the final results as follows,L I L (s) = e −2πλ 2 n=1 bn ∞ r K 1−e −sanC L x −α L p(x)xdx = e −WL(s) ,(22)L I N (s) = e −2πλ 2 n=1 bn ∞ r K 1−e −sanC N x −α N (1−p(x))xdx= e −WN(s) .…”

mentioning

confidence: 80%

“…Expressions for the SINR and rate coverage probability were also derived as a function of the antenna geometry and base station density. [16] analyzed the outage performance of a mmWave CRAN and compared the ergodic capacity of line-of-sight (LOS) and non-line-of-sight (NLOS) APs. The coverage probability in the downlink of mmWave heterogeneous networks with AP cooperation was recently studied in [17].…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of User-Centric Virtual Cell Dense Networks over mmWave Channels

Shi

Wang

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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This paper analyzes the ergodic capacity of a usercentric virtual cell (VC) dense network, where multiple access points (APs) form a VC for each user equipment (UE) and transmit data cooperatively over millimeter wave (mmWave) channels. Different from traditional microwave radio communications, blockage phenomena have an important effect on mmWave transmissions. Accordingly, we adopt a distance-dependent lineof-sight (LOS) probability function and model the locations of the LOS and non-line-of-sight (NLOS) APs as two independent non-homogeneous Poisson point processes (PPP). Invoking this model in a VC dense network, new expressions are derived for the downlink ergodic capacity, accounting for: blockage, smallscale fading and AP cooperation. In particular, we compare the ergodic capacity for different types of fading distributions, including Rayleigh and Nakagami. Numerical results validate our analytical expressions and show that AP cooperation can provide notable capacity gain, especially in low-AP-density regions.

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mentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of User-Centric Virtual Cell Dense Networks over mmWave Channels

Shi

Wang

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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“…The coverage and rate performance of mmWave cellular networks were studied in [18]- [23]. Specifically, an exact integral expression for the coverage probability and average achievable rate were obtained in [18] by adopting the noiselimited approximation (i.e., SINR ≈ SNR), which is tight for typical AP density.…”

Section: A Previous Workmentioning

confidence: 99%

“…Thus, the results in these works cannot be extended to our paper, since we consider the AP cooperation in the analysis. Although Maamari et al [22] and He et al [23] studied the performance with AP cooperation, they ignored some important terms (e.g., small-scale fading coefficient and inter-user interference). To be more specific, the expressions for coverage probabilities in the downlink of mmWave heterogeneous networks were derived in [22], where the authors assumed a special case, i.e., always Rayleigh fading on the interference links.…”

Section: A Previous Workmentioning

confidence: 99%

“…To be more specific, the expressions for coverage probabilities in the downlink of mmWave heterogeneous networks were derived in [22], where the authors assumed a special case, i.e., always Rayleigh fading on the interference links. In mmWave cloud radio access networks (CRANs), [23] analyzed the outage performance as an opposite of coverage performance, where the expressions for the outage probability were derived by ignoring small-scale fading term and interference power.…”

Section: A Previous Workmentioning

confidence: 99%

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Performance Analysis for User-Centric Dense Networks With mmWave

et al. 2019

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This paper focuses on the coverage probability and ergodic capacity for millimeter wave (mmWave) user-centric dense networks, where multiple access points (APs) consist of a virtual cell for each user equipment and transmit data with mmWave antennas cooperatively. All APs are distributed according to a homogeneous Poisson point process. Different from the low-frequency band (below 3 GHz), blockages have a non-negligible effect on mmWave band. To illustrate the effect, we utilize a line-of-sight probability function, which is dependent on the link-length. Then, via stochastic geometry, the expressions for coverage probability and ergodic capacity are derived, which accounts for: blockages, different smallscale fading distributions (Nakagami, Rayleigh, and no fading), and AP cooperation. In addition, we deduce the approximate expressions for coverage probability and ergodic capacity by using the noise-limited approximation. The numerical results validate our analytical expressions and show that the AP cooperation can provide high coverage performance and distinct capacity gain in a lower-AP-density region. INDEX TERMS User-centric dense networks, millimeter wave, Poisson point process, ergodic capacity, coverage probability.

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Modeling and analysis of distributed millimeter wave massive MIMO system using Poisson point processes

Yue

2020

Wireless Netw

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Performance Analysis of Millimeter Wave Cloud Radio Access Networks

Cited by 5 publications

References 12 publications

Performance Analysis of User-Centric Virtual Cell Dense Networks over mmWave Channels

Performance Analysis of User-Centric Virtual Cell Dense Networks over mmWave Channels

Performance Analysis for User-Centric Dense Networks With mmWave

Modeling and analysis of distributed millimeter wave massive MIMO system using Poisson point processes

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