We consider downlink communications between a Base Station (BS) and various mobile stations, equipped with multiple antennas, based on Orthogonal Frequency Division Multiplexing (OFDM). Transmission is compliant with the Long Term Evolution (LTE) standard operating in Frequency Division Duplex (FDD) mode. Since ideal feedback of channel state information to the BS may be cumbersome, we consider two suboptimal channel estimation algorithms, denoted as Resource Block (RB) and Resource Block Group (RBG). Both approaches approximate the channel as constant over multiples of the fundamental LTE block, known as Physical Resource Block (PRB). Our results show that RB and RBG incur a limited performance loss, yet guaranteeing significant saving in the amount of feedback information.

Low-Complexity Channel Estimation in OFDM MU-MIMO Next Generation Cellular Networks / Martalo M.; Opinto A.; Maso M.; Debbah M.; Raheli R.. - ELETTRONICO. - 2018-:(2018), pp. 8580905.1-8580905.5. (Intervento presentato al convegno 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) tenutosi a Bologna - Italia nel 09/09/2018 -12/09/2018) [10.1109/PIMRC.2018.8580905].

Low-Complexity Channel Estimation in OFDM MU-MIMO Next Generation Cellular Networks

Opinto A.;
2018

Abstract

We consider downlink communications between a Base Station (BS) and various mobile stations, equipped with multiple antennas, based on Orthogonal Frequency Division Multiplexing (OFDM). Transmission is compliant with the Long Term Evolution (LTE) standard operating in Frequency Division Duplex (FDD) mode. Since ideal feedback of channel state information to the BS may be cumbersome, we consider two suboptimal channel estimation algorithms, denoted as Resource Block (RB) and Resource Block Group (RBG). Both approaches approximate the channel as constant over multiples of the fundamental LTE block, known as Physical Resource Block (PRB). Our results show that RB and RBG incur a limited performance loss, yet guaranteeing significant saving in the amount of feedback information.
2018
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
1
5
Low-Complexity Channel Estimation in OFDM MU-MIMO Next Generation Cellular Networks / Martalo M.; Opinto A.; Maso M.; Debbah M.; Raheli R.. - ELETTRONICO. - 2018-:(2018), pp. 8580905.1-8580905.5. (Intervento presentato al convegno 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) tenutosi a Bologna - Italia nel 09/09/2018 -12/09/2018) [10.1109/PIMRC.2018.8580905].
Martalo M.; Opinto A.; Maso M.; Debbah M.; Raheli R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/811022
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