This paper tackles the problem of channel estimation in mmWave multiple-input single-output systems, where users are equipped with single-antenna receivers. By leveraging broadcast transmissions in the downlink channel, two novel low-complexity estimation approaches are devised, able to operate even in presence of a reduced number of transmit antennas or limited bandwidth. Numerical results show that the proposed algorithms provide accurate estimates of the channel parameters, achieving at the same time about 50% complexity reduction compared to existing approaches
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio envi...
Cellular localization generally relies on timedifference-of-arrival (TDOA) measurements. In this pap...
5G mmWave massive MIMO systems are likely to be deployed in dense urban scenarios, where increasing ...
This letter tackles the problem of channel estimation in mmWave multiple-input single-output systems...
The paper addresses the problem of determining the unknown position of a mobile station for a mmWave...
The problem of position estimation of a mobile user equipped with a single antenna receiver using do...
This paper investigates the estimation of low-rank multiple-input multiple-output (MIMO) channels in...
In this paper, we present a low-latency direction assisted channel estimation algorithm suitable for...
In millimeter-wave (mmWave) wireless communications, the duration of the channel estimation plays a ...
This thesis considers channel estimation and multiuser (MU) data transmission for time division dupl...
Massive multiple-input multiple-output (MIMO) is the concept of deploying a very large number of ant...
Multi-carrier code division multiple access (MC-CDMA) is a strong candidate for downlink of future m...
In this paper, channel estimation problem for downlink massive multi-input multi-output (MIMO) syste...
The global shortage of microwave bandwidth has become a critical issue that may inhibit the growth o...
Massive multiple-input multiple-output (MIMO) is one of the fundamental technologies for 5G and beyo...
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio envi...
Cellular localization generally relies on timedifference-of-arrival (TDOA) measurements. In this pap...
5G mmWave massive MIMO systems are likely to be deployed in dense urban scenarios, where increasing ...
This letter tackles the problem of channel estimation in mmWave multiple-input single-output systems...
The paper addresses the problem of determining the unknown position of a mobile station for a mmWave...
The problem of position estimation of a mobile user equipped with a single antenna receiver using do...
This paper investigates the estimation of low-rank multiple-input multiple-output (MIMO) channels in...
In this paper, we present a low-latency direction assisted channel estimation algorithm suitable for...
In millimeter-wave (mmWave) wireless communications, the duration of the channel estimation plays a ...
This thesis considers channel estimation and multiuser (MU) data transmission for time division dupl...
Massive multiple-input multiple-output (MIMO) is the concept of deploying a very large number of ant...
Multi-carrier code division multiple access (MC-CDMA) is a strong candidate for downlink of future m...
In this paper, channel estimation problem for downlink massive multi-input multi-output (MIMO) syste...
The global shortage of microwave bandwidth has become a critical issue that may inhibit the growth o...
Massive multiple-input multiple-output (MIMO) is one of the fundamental technologies for 5G and beyo...
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio envi...
Cellular localization generally relies on timedifference-of-arrival (TDOA) measurements. In this pap...
5G mmWave massive MIMO systems are likely to be deployed in dense urban scenarios, where increasing ...