Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems

Tarig Ballal; Mohamed A. Suliman; Ayed Alrashdi; Tareq Y. Al-Naffouri

doi:10.1109/WCNC44850.2019.8985379

Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems

Tarig Ballal, Mohamed A. Suliman, Ayed Alrashdi, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Recovering data symbols in a wireless communications system consists of two main estimation steps: channel estimation based on transmitted pilot symbols, and estimation of data symbols using the acquired channel information. The amount of energy allocated to each of pilot and data transmission determines the performance of each estimation step, which further impacts the overall system performance. In this paper, we consider a linear minimum mean squared error (LMMSE) receiver that uses the LMMSE estimator for both channel information acquisition and data symbol recovery in the context of a massive MIMO system. We derive the mean squared error (MSE) of the estimated symbols as a function of the energy allocation. Exploiting the large dimensionality of the problem, we leverage tools from random matrix theory to express the MSE only in terms of the deterministic parameters of the system. We further utilize the deterministic expression to find the optimal energy allocation. The theoretical results are matched with simulations showing high level of congruence.

Original language	English (US)
Title of host publication	2019 IEEE Wireless Communications and Networking Conference (WCNC)
Publisher	IEEE
ISBN (Print)	9781538676462
DOIs	https://doi.org/10.1109/WCNC44850.2019.8985379
State	Published - 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2016-KKI-2899.
Acknowledgements: This work was supported by the KAUST Office of Sponsored Research under Award OSR-2016-KKI-2899.

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10.1109/WCNC44850.2019.8985379

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@inproceedings{38b401902fac4ababf86dc7a8c16b654,

title = "Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems",

abstract = "Recovering data symbols in a wireless communications system consists of two main estimation steps: channel estimation based on transmitted pilot symbols, and estimation of data symbols using the acquired channel information. The amount of energy allocated to each of pilot and data transmission determines the performance of each estimation step, which further impacts the overall system performance. In this paper, we consider a linear minimum mean squared error (LMMSE) receiver that uses the LMMSE estimator for both channel information acquisition and data symbol recovery in the context of a massive MIMO system. We derive the mean squared error (MSE) of the estimated symbols as a function of the energy allocation. Exploiting the large dimensionality of the problem, we leverage tools from random matrix theory to express the MSE only in terms of the deterministic parameters of the system. We further utilize the deterministic expression to find the optimal energy allocation. The theoretical results are matched with simulations showing high level of congruence.",

author = "Tarig Ballal and Suliman, {Mohamed A.} and Ayed Alrashdi and Al-Naffouri, {Tareq Y.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): OSR-2016-KKI-2899. Acknowledgements: This work was supported by the KAUST Office of Sponsored Research under Award OSR-2016-KKI-2899.",

year = "2019",

doi = "10.1109/WCNC44850.2019.8985379",

language = "English (US)",

isbn = "9781538676462",

booktitle = "2019 IEEE Wireless Communications and Networking Conference (WCNC)",

publisher = "IEEE",

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TY - GEN

T1 - Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems

AU - Ballal, Tarig

AU - Suliman, Mohamed A.

AU - Alrashdi, Ayed

AU - Al-Naffouri, Tareq Y.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): OSR-2016-KKI-2899. Acknowledgements: This work was supported by the KAUST Office of Sponsored Research under Award OSR-2016-KKI-2899.

PY - 2019

Y1 - 2019

N2 - Recovering data symbols in a wireless communications system consists of two main estimation steps: channel estimation based on transmitted pilot symbols, and estimation of data symbols using the acquired channel information. The amount of energy allocated to each of pilot and data transmission determines the performance of each estimation step, which further impacts the overall system performance. In this paper, we consider a linear minimum mean squared error (LMMSE) receiver that uses the LMMSE estimator for both channel information acquisition and data symbol recovery in the context of a massive MIMO system. We derive the mean squared error (MSE) of the estimated symbols as a function of the energy allocation. Exploiting the large dimensionality of the problem, we leverage tools from random matrix theory to express the MSE only in terms of the deterministic parameters of the system. We further utilize the deterministic expression to find the optimal energy allocation. The theoretical results are matched with simulations showing high level of congruence.

AB - Recovering data symbols in a wireless communications system consists of two main estimation steps: channel estimation based on transmitted pilot symbols, and estimation of data symbols using the acquired channel information. The amount of energy allocated to each of pilot and data transmission determines the performance of each estimation step, which further impacts the overall system performance. In this paper, we consider a linear minimum mean squared error (LMMSE) receiver that uses the LMMSE estimator for both channel information acquisition and data symbol recovery in the context of a massive MIMO system. We derive the mean squared error (MSE) of the estimated symbols as a function of the energy allocation. Exploiting the large dimensionality of the problem, we leverage tools from random matrix theory to express the MSE only in terms of the deterministic parameters of the system. We further utilize the deterministic expression to find the optimal energy allocation. The theoretical results are matched with simulations showing high level of congruence.

UR - http://hdl.handle.net/10754/661881

UR - https://ieeexplore.ieee.org/document/8985379/

UR - http://www.scopus.com/inward/record.url?scp=85079645518&partnerID=8YFLogxK

U2 - 10.1109/WCNC44850.2019.8985379

DO - 10.1109/WCNC44850.2019.8985379

M3 - Conference contribution

SN - 9781538676462

BT - 2019 IEEE Wireless Communications and Networking Conference (WCNC)

PB - IEEE

ER -

Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems

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