Three-Dimensional HAP-MIMO Channels: Modeling and Analysis of Space-Time Correlation

Michailidis, Emmanouel T.; Kanatas, Αthanasios G.

doi:10.1109/tvt.2010.2042629

Cited by 80 publications

(41 citation statements)

References 31 publications

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“…The model proposed in [7] considers a downlink HAP-MIMO communication channel with T n transmit and R n receive antenna elements. All antennas are omni-directional, and are numbered as 1 T p q n ≤ ≤ ≤ and 1 , R l m n ≤ ≤ ≤ respectively.…”

Section: The 3-d Geometrical Modelmentioning

confidence: 99%

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On the Capacity of 3-D Space-Time Correlated HAP-MIMO Channels

Michailidis

Kanatas

2010

2010 Second International Conference on Advances in Satellite and Space Communications

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High altitude platforms (HAPs) are one of the most promising alternative infrastructures for realizing next generation wireless networks. Considering a HAP-based communications system, this paper investigates the capacity of spatially and temporally correlated multiple-input multipleoutput (MIMO) channels achieved with uniform linear arrays (ULAs). In particular, a recently proposed three-dimensional (3-D) reference channel model for HAPs is utilized. Various parameters, such as the elevation angle of the platform, the array configuration, the user mobility, and the 3-D nonuniform distribution of the scatterers are considered. The numerical results demonstrate the effect of these parameters on the channel capacity.

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Section: The 3-d Geometrical Modelmentioning

confidence: 99%

“…Recently, the authors proposed a three-dimensional (3-D) geometry-based single-bounced (GBSB) model for Ricean HAP-MIMO channels [7]. This model assumes that the local scatterers in the vicinity of a terrestrial user are nonuniformly distributed within a cylinder.…”

Section: Introductionmentioning

confidence: 99%

On the Capacity of 3-D Space-Time Correlated HAP-MIMO Channels

Michailidis

Kanatas

2010

2010 Second International Conference on Advances in Satellite and Space Communications

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“…References [11] and [12] present a three dimensional Reference [13] raises a geometric channel model for the link between a High Altitude Platform and a fixed terrestrial user. It is modeled by a straight circular cone, making sure that the scatterers are more likely to be fou�d near the user instead of the HAP.…”

Section: Fps(r)= V(r)/v(rm)mentioning

confidence: 99%

Channel modeling for High-Altitude platform: A review

Yang

Zong

Cao

2010

2010 International Symposium on Intelligent Signal Processing and Communication Systems

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High-Altitude Platform (RAP) is the most promlsmg infrastructure for wireless communication in the near future. An essential problem need solving for the design of RAP communication systems is to establish an effective channel model for predicting the characteristics of the communication link. There have been many papers on this problem and several channel models have been proposed. The main work of this paper is to summ arize and analyze the channel models available. Here, the existing models are divided into three groups according to their respective specialties and each model is briefly introduced with emphases on analysis of their strengths and weaknesses. Some open issues are also pointed out.The rest of this paper is organized as follows: In Section 2, the channel models available are discussed by dividing them into three categories. Finally, a conclusion and some open issues are given. CHANNEL MODELSThis section will analyze the presently existing channel models by dividing them into three categories as strictly statistic-based models, GBSB (geometrically based single bounce) models and K-based models. For simplicity, all these models assume that the transmission frequency is lower than 10 GHz, so there is no necessity to consider attenuations caused by rain and atmospheric scintillation. Strictly statistic-based channel modelsIn this section, the strictly statistic-based channel models proposed in [1]-[3] are discussed. References [1] and [2] present a "switched" channel model for RAPCS links that is largely based on the ITU-R Recommendation P.681-6. In this model, it is assumed that the configuration of the channel varies from one condition to another with the changes in environmental properties and that each condition can be characterized by some sort of distribution. Besides, the state transition is [16]. While in [14], the Ricean factor K is computed from a geometrical point of view as is shown in Eq.(2). K(a) = 2010g( dws /decho)dB , (2) where d ws is the length of the direct way and d eeho is related with the echo path in the two ray ground reflection model. It is noted that the model presented in [14] is over optimistic in its evaluation of the HAPCS channel. Besides the adjustment of the level of the power from the platform and the effects of the shadows are not taken into account in [14], the horizontal distance between the reflectors and the receiver is constant. So this model is inflexible. While in [15] and [16], there are few mathematical formulas for characterizing the channel. Furthermore, only total received power was collected with no information regarding LOS power and multipath scattered power during measurements. Since this narrowband wireless channel model is established totally based on experiments performed in the specific area, it is not clear whether it can be applied to other communication environments. As a whole, both models are similar with an exception that the methods for computing the Ricean factor are different. CONCLUSIONSThis paper presents a survey of the available chan...

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“…In addition, chapter 10 in [11] goes over recent work in stratospheric channel models. However, only a few papers (e.g., [12][13][14]) discuss HAP-MIMO channel models and only a few ( [15,16]) discuss the use of polarization to achieve diversity. For instance, [13] discusses the advantages of having MIMO for HAP communication by evaluating the performance of downlink (DL) HAP channels.…”

Section: Introductionmentioning

confidence: 99%

System design of the physical layer for Loon’s high-altitude platform

S¹,

Wojtowicz²,

Cohen³

et al. 2019

J Wireless Com Network

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This paper describes several aspects of the physical layer and over the air interface of Loon. Loon utilizes stratospheric balloon-based high-altitude platforms (HAPs) that use Long-Term Evolution (LTE) to connect people with standard User Equipment (UEs) to the Internet. In particular, topics covered include the Loon prototype eNodeB (eNB) antenna pattern, the observed channel, UE battery life, and coexistence with terrestrial networks using the same spectrum. While channel models from a HAP to the ground have been well studied in the past, the use of polarization diversity to establish Multi-Input Multi-Output (MIMO) communication to real UEs below 1 GHz has not. In addition, a theoretical analysis of terrestrial coexistence and an analysis of the estimated impact on UE battery life when communicating with HAPs are presented. Finally, results from several measurement campaigns and from experiments with polarization diversity are presented as a spot check of theory.

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Three-Dimensional HAP-MIMO Channels: Modeling and Analysis of Space-Time Correlation

Cited by 80 publications

References 31 publications

On the Capacity of 3-D Space-Time Correlated HAP-MIMO Channels

On the Capacity of 3-D Space-Time Correlated HAP-MIMO Channels

Channel modeling for High-Altitude platform: A review

System design of the physical layer for Loon’s high-altitude platform

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