Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction

Anastasios Papazafeiropoulos; Tharmalingam Ratnarajah

doi:10.1109/WCNC.2014.6952172

Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction

Anastasios Papazafeiropoulos, Tharmalingam Ratnarajah

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

20 Citations (Scopus)

Abstract

We consider a multi-cell multi-user downlink channel of a time-division duplex (TDD) MIMO system, where the base stations (BSs) employ the concept of massive MIMO, i.e., they are equipped with a large number of antennas. In addition, the number of users increases with the same speed. Focusing on the practical impairments of the channel such as pilot contamination and, in particular, delayed channel state information at the transmitter (CSIT), we derive an approximation of the sum rate with regularized zero-forcing (RZF) precoding, which provides a quantification of the capacity loss. As a result, it is deemed necessary to obtain the deterministic equivalent sum rate by incorporating in our analysis channel prediction circumventing the degradation due to delayed CSIT. The proposed results are accurate for realistic system dimensions, as simulations testify. Finally, we show the benefits of applying RZF in the sum rate against using eigenbeamforming (BF) for the same Doppler shift with no extra computational complexity.

Original language	English
Title of host publication	IEEE Wireless Communications and Networking Conference, WCNC
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	809-814
Number of pages	6
ISBN (Electronic)	9781479930838
DOIs	https://doi.org/10.1109/WCNC.2014.6952172
Publication status	Published - 10 Nov 2014
Event	2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey Duration: 6 Apr 2014 → 9 Apr 2014

Conference

Conference	2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Country/Territory	Turkey
City	Istanbul
Period	6/04/14 → 9/04/14

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10.1109/WCNC.2014.6952172

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title = "Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction",

abstract = "We consider a multi-cell multi-user downlink channel of a time-division duplex (TDD) MIMO system, where the base stations (BSs) employ the concept of massive MIMO, i.e., they are equipped with a large number of antennas. In addition, the number of users increases with the same speed. Focusing on the practical impairments of the channel such as pilot contamination and, in particular, delayed channel state information at the transmitter (CSIT), we derive an approximation of the sum rate with regularized zero-forcing (RZF) precoding, which provides a quantification of the capacity loss. As a result, it is deemed necessary to obtain the deterministic equivalent sum rate by incorporating in our analysis channel prediction circumventing the degradation due to delayed CSIT. The proposed results are accurate for realistic system dimensions, as simulations testify. Finally, we show the benefits of applying RZF in the sum rate against using eigenbeamforming (BF) for the same Doppler shift with no extra computational complexity.",

author = "Anastasios Papazafeiropoulos and Tharmalingam Ratnarajah",

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doi = "10.1109/WCNC.2014.6952172",

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Papazafeiropoulos, A & Ratnarajah, T 2014, Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction. in IEEE Wireless Communications and Networking Conference, WCNC., 6952172, Institute of Electrical and Electronics Engineers (IEEE), pp. 809-814, 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, Turkey, 6/04/14. https://doi.org/10.1109/WCNC.2014.6952172

Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction. / Papazafeiropoulos, Anastasios; Ratnarajah, Tharmalingam.
IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 809-814 6952172.

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

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AU - Papazafeiropoulos, Anastasios

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N2 - We consider a multi-cell multi-user downlink channel of a time-division duplex (TDD) MIMO system, where the base stations (BSs) employ the concept of massive MIMO, i.e., they are equipped with a large number of antennas. In addition, the number of users increases with the same speed. Focusing on the practical impairments of the channel such as pilot contamination and, in particular, delayed channel state information at the transmitter (CSIT), we derive an approximation of the sum rate with regularized zero-forcing (RZF) precoding, which provides a quantification of the capacity loss. As a result, it is deemed necessary to obtain the deterministic equivalent sum rate by incorporating in our analysis channel prediction circumventing the degradation due to delayed CSIT. The proposed results are accurate for realistic system dimensions, as simulations testify. Finally, we show the benefits of applying RZF in the sum rate against using eigenbeamforming (BF) for the same Doppler shift with no extra computational complexity.

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Linear precoding for downlink massive MIMO with delayed CSIT and channel prediction

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