Enhanced Estimation of a Noisy Quantum Channel Using Entanglement [PDF]
We discuss the estimation of channel parameters for a noisy quantum channel - the so-called Pauli channel - using finite resources. It turns out that prior entanglement considerably enhances the fidelity of the estimation when we compare it to an ...
Cirone, Markus A.+3 more
core +4 more sources
Energy-Efficient Channel Estimation [PDF]
We investigate the energy-efficient channel estimation in wireless networks, where one pilot is inserted for every several data slots to estimate the channel coefficients. Both the channel state information estimation error and the time-varying model are considered. We first formulate the energy-efficient channel estimation problem into a mixed integer
Guandong Wei+5 more
openaire +5 more sources
Improved Blind Channel Estimation Performance by Nearby Channel Estimation [PDF]
To obtain channel information for further data transmission, the blind channel estimation needs no pilot signal in advance is a considerable algorithm. To improve performance of the blind channel estimation schemes, we have employed the channel estimation with pilot signals by adjacent users; the acquired estimation channel information of the adjacent ...
Wu, Jia-Chyi, Kao, Zhen-Wei
openaire +3 more sources
Performance Analysis of Iterative Channel Estimation and Multiuser Detection in Multipath DS-CDMA Channels [PDF]
This paper examines the performance of decision feedback based iterative channel estimation and multiuser detection in channel coded aperiodic DS-CDMA systems operating over multipath fading channels.
Betz, Sharon M.+2 more
core +3 more sources
Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels [PDF]
Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas.
Dai, Linglong+3 more
core +2 more sources
Deep learning based channel estimation method for mine OFDM system. [PDF]
In this paper, we present a channel estimation approach based on deep learning to solve the problem that the orthogonal frequency division multiplexing (OFDM) system channel estimation algorithm cannot accurately obtain the channel state information in ...
Wang M, Wang A, Liu Z, Chai J.
europepmc +2 more sources
Channel Estimation in DCT-Based OFDM [PDF]
This paper derives the channel estimation of a discrete cosine transform- (DCT-) based orthogonal frequency-division multiplexing (OFDM) system over a frequency-selective multipath fading channel. Channel estimation has been proved to improve system throughput and performance by allowing for coherent demodulation.
Hu Jing+3 more
openaire +3 more sources
Channel Estimation for Massive MIMO Systems via Polarized Self-Attention-Aided Channel Estimation Neural Network. [PDF]
Research on deep learning (DL)-based channel estimation for massive multiple-input multiple-output (MIMO) communication systems has attracted considerable interest in recent years. In this paper, we propose a DL-assisted channel estimation algorithm that
Yang S+5 more
europepmc +2 more sources
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field? [PDF]
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the high rate requirements for future 6G. To realize efficient precoding, accurate channel state information is essential. Existing channel estimation algorithms with low
Mingyao Cui, L. Dai
semanticscholar +1 more source
Compressed Sensing Based Channel Estimation for Movable Antenna Communications [PDF]
In this letter, we study the channel estimation for wireless communications with movable antenna (MA), which requires to reconstruct the channel response at any location in a given region where the transmitter/receiver is located based on the channel ...
Wenyan Ma, Lipeng Zhu, Rui Zhang
semanticscholar +1 more source