Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. / Hu, Sha; Rusek, Fredrik; Edfors, Ove.

2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8647606.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Hu, S, Rusek, F & Edfors, O 2019, Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. in 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings., 8647606, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Global Communications Conference, GLOBECOM 2018, Abu Dhabi, United Arab Emirates, 2018/12/09. https://doi.org/10.1109/GLOCOM.2018.8647606

APA

Hu, S., Rusek, F., & Edfors, O. (2019). Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings [8647606] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2018.8647606

CBE

Hu S, Rusek F, Edfors O. 2019. Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/GLOCOM.2018.8647606

MLA

Hu, Sha, Fredrik Rusek, and Ove Edfors "Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface". 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. https://doi.org/10.1109/GLOCOM.2018.8647606

Vancouver

Hu S, Rusek F, Edfors O. Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8647606 https://doi.org/10.1109/GLOCOM.2018.8647606

Author

Hu, Sha ; Rusek, Fredrik ; Edfors, Ove. / Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019.

RIS

TY - GEN

T1 - Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface

AU - Hu, Sha

AU - Rusek, Fredrik

AU - Edfors, Ove

PY - 2019/2/21

Y1 - 2019/2/21

N2 - 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.

AB - 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.

U2 - 10.1109/GLOCOM.2018.8647606

DO - 10.1109/GLOCOM.2018.8647606

M3 - Paper in conference proceeding

BT - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -