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Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface

Hu, Sha LU ; Rusek, Fredrik LU and Edfors, Ove LU (2019) 2018 IEEE Global Communications Conference, GLOBECOM 2018
Abstract

In this paper, we consider capacity degradations stemming from potential hardware impairments (HWI) of newly proposed Large Intelligent Surface (LIS) systems. Without HWI, the utility of surface-area (the first-order derivative of the capacity with respect to surface-area) is shown to be proportional to the inverse of it. With HWI, the capacity as well as the utility of surface-area are both degraded, due to a higher effective noise level caused by the HWI. After first modeling the HWI in a general form, we derive the effective noise density and the decrement of utility in closed-forms. With those the impacts of increasing the surface-area can be clearly seen. One interesting but also natural outcome is that both the capacity and... (More)

In this paper, we consider capacity degradations stemming from potential hardware impairments (HWI) of newly proposed Large Intelligent Surface (LIS) systems. Without HWI, the utility of surface-area (the first-order derivative of the capacity with respect to surface-area) is shown to be proportional to the inverse of it. With HWI, the capacity as well as the utility of surface-area are both degraded, due to a higher effective noise level caused by the HWI. After first modeling the HWI in a general form, we derive the effective noise density and the decrement of utility in closed-forms. With those the impacts of increasing the surface-area can be clearly seen. One interesting but also natural outcome is that both the capacity and utility can be decreased when increasing the surface-area in the cases with severe HWI. The turning points where the capacity and the utility start to decrease with HWI can be evaluated from the derived formulas for them. Further, we also consider distributed implementations of a LIS system by splitting it into multiple small LIS-Units, where the impacts of HWI can be significantly suppressed due to a smaller surface-area of each unit.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
2018 IEEE Global Communications Conference, GLOBECOM 2018
conference location
Abu Dhabi, United Arab Emirates
conference dates
2018-12-09 - 2018-12-13
external identifiers
  • scopus:85063522362
ISBN
9781538647271
DOI
10.1109/GLOCOM.2018.8647606
language
English
LU publication?
yes
id
a80db21c-5996-4c7d-a7d4-e56444a52b6b
date added to LUP
2019-04-08 12:09:38
date last changed
2019-04-30 04:10:32
@inproceedings{a80db21c-5996-4c7d-a7d4-e56444a52b6b,
  abstract     = {<p>In this paper, we consider capacity degradations stemming from potential hardware impairments (HWI) of newly proposed Large Intelligent Surface (LIS) systems. Without HWI, the utility of surface-area (the first-order derivative of the capacity with respect to surface-area) is shown to be proportional to the inverse of it. With HWI, the capacity as well as the utility of surface-area are both degraded, due to a higher effective noise level caused by the HWI. After first modeling the HWI in a general form, we derive the effective noise density and the decrement of utility in closed-forms. With those the impacts of increasing the surface-area can be clearly seen. One interesting but also natural outcome is that both the capacity and utility can be decreased when increasing the surface-area in the cases with severe HWI. The turning points where the capacity and the utility start to decrease with HWI can be evaluated from the derived formulas for them. Further, we also consider distributed implementations of a LIS system by splitting it into multiple small LIS-Units, where the impacts of HWI can be significantly suppressed due to a smaller surface-area of each unit.</p>},
  author       = {Hu, Sha and Rusek, Fredrik and Edfors, Ove},
  isbn         = {9781538647271},
  language     = {eng},
  location     = {Abu Dhabi, United Arab Emirates},
  month        = {02},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface},
  url          = {http://dx.doi.org/10.1109/GLOCOM.2018.8647606},
  year         = {2019},
}