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Spherical Wave Channel and Analysis for Large Linear Array in LoS Conditions

Zhou, Zhou; Gao, Xiang LU ; Fang, Jun and Chen, Zhi (2015) IEEE Global Telecommunications Conference (GLOBECOM), 2015 In [Host publication title missing]
Abstract
Massive MIMO is considered a key technology for the future wireless communication systems. The promising properties in terms of higher spectral and transmit-energy efficiency are brought by the large number of antennas at the base station (BS). As the number of antennas increases, the aperture of the BS antenna array may become much larger, as compared to today's antenna arrays. In this case, mobile stations (MSs) and significant scatterers can locate inside the Rayleigh distance of large arrays, and spherical wavefronts rather than planar wavefronts are experienced over the arrays. In this paper, we propose an analytical spherical-wave channel model for large linear arrays, which is also compatible with conventional plane-wave models.... (More)
Massive MIMO is considered a key technology for the future wireless communication systems. The promising properties in terms of higher spectral and transmit-energy efficiency are brought by the large number of antennas at the base station (BS). As the number of antennas increases, the aperture of the BS antenna array may become much larger, as compared to today's antenna arrays. In this case, mobile stations (MSs) and significant scatterers can locate inside the Rayleigh distance of large arrays, and spherical wavefronts rather than planar wavefronts are experienced over the arrays. In this paper, we propose an analytical spherical-wave channel model for large linear arrays, which is also compatible with conventional plane-wave models. Based on the spherical-wave model, we investigate how MSs can be spatially separated in simple line-of-sight (LoS) scenarios. The results theoretically explain the observation in experiments that spherical wavefronts help decorrelate the MS channels more effectively than planar wavefronts. (Less)
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type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
Massive MIMO, multi-user MIMO, spherical-wave channel, large linear array, line-of-sight channel, channel correlation
in
[Host publication title missing]
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Global Telecommunications Conference (GLOBECOM), 2015
language
English
LU publication?
yes
id
a3e0808d-1683-494e-a0e1-520728484b74 (old id 8051444)
date added to LUP
2015-10-05 12:41:05
date last changed
2016-04-16 07:46:21
@misc{a3e0808d-1683-494e-a0e1-520728484b74,
  abstract     = {Massive MIMO is considered a key technology for the future wireless communication systems. The promising properties in terms of higher spectral and transmit-energy efficiency are brought by the large number of antennas at the base station (BS). As the number of antennas increases, the aperture of the BS antenna array may become much larger, as compared to today's antenna arrays. In this case, mobile stations (MSs) and significant scatterers can locate inside the Rayleigh distance of large arrays, and spherical wavefronts rather than planar wavefronts are experienced over the arrays. In this paper, we propose an analytical spherical-wave channel model for large linear arrays, which is also compatible with conventional plane-wave models. Based on the spherical-wave model, we investigate how MSs can be spatially separated in simple line-of-sight (LoS) scenarios. The results theoretically explain the observation in experiments that spherical wavefronts help decorrelate the MS channels more effectively than planar wavefronts.},
  author       = {Zhou, Zhou and Gao, Xiang and Fang, Jun and Chen, Zhi},
  keyword      = {Massive MIMO,multi-user MIMO,spherical-wave channel,large linear array,line-of-sight channel,channel correlation},
  language     = {eng},
  publisher    = {ARRAY(0xc51e5c8)},
  series       = {[Host publication title missing]},
  title        = {Spherical Wave Channel and Analysis for Large Linear Array in LoS Conditions},
  year         = {2015},
}