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Stacked intelligent metasurfaces for holographic MIMO aided cell-free networks
Large-scale multiple-input and multiple-output (MIMO) systems are capable of achieving
high date rate. However, given the high hardware cost and excessive power consumption of …
high date rate. However, given the high hardware cost and excessive power consumption of …
Leveraging deep neural networks for massive MIMO data detection
Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-
generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO …
generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO …
LoRD-Net: Unfolded deep detection network with low-resolution receivers
The need to recover high-dimensional signals from their noisy low-resolution quantized
measurements is widely encountered in communications and sensing. In this paper, we …
measurements is widely encountered in communications and sensing. In this paper, we …
Deep learning for estimation and pilot signal design in few-bit massive MIMO systems
Estimation in few-bit MIMO systems is challenging, since the received signals are
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
Deep learning based one bit-ADCs efficient channel estimation using fewer pilots overhead for massive MIMO system
The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
Insights into maximum likelihood detection for one-bit massive mimo communications
One-bit massive MIMO has gained much attention in the areas of wireless communication
and sensing. Among the various receiver designs, the maximum-likelihood-based receivers …
and sensing. Among the various receiver designs, the maximum-likelihood-based receivers …
Massive MIMO channel estimation with low-resolution spatial sigma-delta ADCs
We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO)
system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to …
system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to …
Artificial intelligence for physical-layer design of MIMO communications with one-bit ADCs
Wireless systems continue to go toward higher carrier frequencies, including terahertz
bands, to take advantage of higher bandwidth channels. At the same time, antenna arrays …
bands, to take advantage of higher bandwidth channels. At the same time, antenna arrays …
EVM analysis of distributed massive MIMO with 1-bit radio-over-fiber Fronthaul
We analyze the uplink performance of a distributed massive multiple-input multiple-output
(MIMO) architecture in which the remotely located access points (APs) are connected to a …
(MIMO) architecture in which the remotely located access points (APs) are connected to a …
Data detection in 1-bit quantized mimo systems
We address the problem of data detection for the multiple-input multiple-output (MIMO)
channel employing one-bit quantizers at the receiver, taking into account different settings of …
channel employing one-bit quantizers at the receiver, taking into account different settings of …