Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises

Leila Tlebaldiyeva; Behrouz Maham; Olav Tirkkonen

doi:10.1109/WCNC45663.2020.9120487

Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises

Leila Tlebaldiyeva, Behrouz Maham, Olav Tirkkonen

Communications Theory

Nazarbayev University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

120 Downloads (Pure)

Abstract

This paper investigates RF power leakage in millimeter wave (mmWave) networks operating on hybrid beamforming (HB) system where a base station with massive MIMO antennas communicates with user equipment (UE) nodes equipped with a single antenna. RF power leaks between spatially divided transmissions to different users, due to back/side lobes of antennas. A maximum sub-array transmission diversity technique implemented on HB is proposed to improve the system performance under RF power leakage and residual transceiver distortion noise. In this work, we emphasize how RF power leakage and residual transceiver distortion noise constraints degrade the quality of communication performance in terms of outage probability (OP) and ergodic capacity. An analytic model of mmWave connectivity is used, resulting in closed-form expressions for the OP and ergodic capacity. These are corroborated through Monte-Carlo simulations. Simulation results demonstrate that the effect of transceiver distortion noise is more severe at high signal power due to the proportionality of transceiver distortion noise to signal power.

Original language	English
Title of host publication	2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728131061
DOIs	https://doi.org/10.1109/WCNC45663.2020.9120487
Publication status	Published - May 2020
MoE publication type	A4 Conference publication
Event	IEEE Wireless Communications and Networking Conference - Seoul, Korea, Republic of Duration: 25 May 2020 → 28 May 2020

Publication series

Name	IEEE Wireless Communications and Networking Conference
ISSN (Print)	1525-3511
ISSN (Electronic)	1558-2612

Conference

Conference	IEEE Wireless Communications and Networking Conference
Abbreviated title	WCNC
Country/Territory	Korea, Republic of
City	Seoul
Period	25/05/2020 → 28/05/2020

Keywords

Diversity
hybrid beamforming
millimeter wave communication
Nakagami-m fading channel

Access to Document

10.1109/WCNC45663.2020.9120487

WCNC2020_TlebaldiyevaAccepted author manuscript, 1.06 MB

Cite this

Tlebaldiyeva, L., Maham, B., & Tirkkonen, O. (2020). Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120487 (IEEE Wireless Communications and Networking Conference). IEEE. https://doi.org/10.1109/WCNC45663.2020.9120487

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title = "Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises",

abstract = "This paper investigates RF power leakage in millimeter wave (mmWave) networks operating on hybrid beamforming (HB) system where a base station with massive MIMO antennas communicates with user equipment (UE) nodes equipped with a single antenna. RF power leaks between spatially divided transmissions to different users, due to back/side lobes of antennas. A maximum sub-array transmission diversity technique implemented on HB is proposed to improve the system performance under RF power leakage and residual transceiver distortion noise. In this work, we emphasize how RF power leakage and residual transceiver distortion noise constraints degrade the quality of communication performance in terms of outage probability (OP) and ergodic capacity. An analytic model of mmWave connectivity is used, resulting in closed-form expressions for the OP and ergodic capacity. These are corroborated through Monte-Carlo simulations. Simulation results demonstrate that the effect of transceiver distortion noise is more severe at high signal power due to the proportionality of transceiver distortion noise to signal power.",

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author = "Leila Tlebaldiyeva and Behrouz Maham and Olav Tirkkonen",

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doi = "10.1109/WCNC45663.2020.9120487",

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note = "IEEE Wireless Communications and Networking Conference, WCNC ; Conference date: 25-05-2020 Through 28-05-2020",

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Tlebaldiyeva, L, Maham, B & Tirkkonen, O 2020, Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises. in 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings., 9120487, IEEE Wireless Communications and Networking Conference, IEEE, IEEE Wireless Communications and Networking Conference, Seoul, Korea, Republic of, 25/05/2020. https://doi.org/10.1109/WCNC45663.2020.9120487

Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises. / Tlebaldiyeva, Leila; Maham, Behrouz; Tirkkonen, Olav.
2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE, 2020. 9120487 (IEEE Wireless Communications and Networking Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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PY - 2020/5

Y1 - 2020/5

N2 - This paper investigates RF power leakage in millimeter wave (mmWave) networks operating on hybrid beamforming (HB) system where a base station with massive MIMO antennas communicates with user equipment (UE) nodes equipped with a single antenna. RF power leaks between spatially divided transmissions to different users, due to back/side lobes of antennas. A maximum sub-array transmission diversity technique implemented on HB is proposed to improve the system performance under RF power leakage and residual transceiver distortion noise. In this work, we emphasize how RF power leakage and residual transceiver distortion noise constraints degrade the quality of communication performance in terms of outage probability (OP) and ergodic capacity. An analytic model of mmWave connectivity is used, resulting in closed-form expressions for the OP and ergodic capacity. These are corroborated through Monte-Carlo simulations. Simulation results demonstrate that the effect of transceiver distortion noise is more severe at high signal power due to the proportionality of transceiver distortion noise to signal power.

AB - This paper investigates RF power leakage in millimeter wave (mmWave) networks operating on hybrid beamforming (HB) system where a base station with massive MIMO antennas communicates with user equipment (UE) nodes equipped with a single antenna. RF power leaks between spatially divided transmissions to different users, due to back/side lobes of antennas. A maximum sub-array transmission diversity technique implemented on HB is proposed to improve the system performance under RF power leakage and residual transceiver distortion noise. In this work, we emphasize how RF power leakage and residual transceiver distortion noise constraints degrade the quality of communication performance in terms of outage probability (OP) and ergodic capacity. An analytic model of mmWave connectivity is used, resulting in closed-form expressions for the OP and ergodic capacity. These are corroborated through Monte-Carlo simulations. Simulation results demonstrate that the effect of transceiver distortion noise is more severe at high signal power due to the proportionality of transceiver distortion noise to signal power.

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KW - Nakagami-m fading channel

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Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

-: Radio Network Optimization for Heterogeneous Machine Connectivity

Cite this

Maximum Sub-array Diversity for mmWave Network under RF Power Leakage and Transceiver Distortion Noises

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

-: Radio Network Optimization for Heterogeneous Machine Connectivity

Cite this