Results 111 to 120 of about 20,641 (239)
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels
Massive multiple-input--multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination.
Björnson, Emil +2 more
core +1 more source
This work extends the Polyanskiy‐Poor‐Verdu (PPV) framework to lognormal wireless links. Specifically, the paper derives a closed‐form approximation for the average error probability under lognormal distribution, effectively generalizing the PPV analysis beyond the additive white Gaussian noise assumption.
Peng Du, Yuan Zhang
wiley +1 more source
The prevailing research on cell‐free massive multiple‐input multiple‐output (MIMO) systems posits that, due to channel reciprocity and channel hardening properties, user equipment (UEs) can decode downlink data solely based on uplink statistical channel ...
Jiarui Li +5 more
doaj +1 more source
Fingerprinting-Based Positioning in Distributed Massive MIMO Systems
Location awareness in wireless networks may enable many applications such as emergency services, autonomous driving and geographic routing. Although there are many available positioning techniques, none of them is adapted to work with massive multiple-in-
Larsson, Erik G., Savic, Vladimir
core +1 more source
Energy‐Efficient Element Selection in RIS‐Assisted Backscatter Communication Systems
This paper investigates energy‐efficient reconfigurable intelligent surface (RIS) assisted ambient backscatter communication systems with energy‐harvesting tags. A low‐complexity RIS element selection strategy is developed to satisfy both energy‐harvesting and signal‐to‐interference‐plus‐noise ratio constraints while minimizing overall power ...
Mengistu A. Mulatu +2 more
wiley +1 more source
Cell-free massive multiple-input multiple-output (MIMO) networks eliminate cell boundaries and enhance uniform quality of service by enabling cooperative transmission among access points (APs). In conventional cellular networks, user equipment located at
Yoon-Ju Choi +8 more
doaj +1 more source
On the Uplink Max–Min SINR of Cell-Free Massive MIMO Systems
A cell-free massive multiple-input multiple-output system is considered using a max-min approach to maximize the minimum user rate with per-user power constraints. First, an approximated uplink user rate is derived based on channel statistics.
M. Bashar +4 more
semanticscholar +1 more source
To address the poor bit error rate (BER) performance and low achievable sum spectral efficiency (ASSE) due to strong receive correlation (RC) at the centralized base station (CBS) in uplink intelligent reflecting surface (IRS)‐aided massive multiple‐input multiple‐output (m‐MIMO) systems, as well as the system overload due to the massive computation ...
Lin Li, Dengyin Zhang, Huijun Hou
wiley +1 more source
Flexible Pilot Contamination Mitigation with Doppler PSD Alignment
Pilot contamination in the uplink (UL) can severely degrade the channel estimation quality at the base station (BS) in a massive multi-input multi-output (MIMO) system.
Luo, Xiliang, Zhang, Xiaoyu
core +1 more source

