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Found 21 papers, 7 papers with code
Optimal Dual-Polarized Planar Arrays for Massive Capacity Over Point-to-Point MIMO Channels
We optimize the rank and condition number by identifying the optimal antenna spacing in dual-polarized planar antenna arrays with imperfect isolation.
Impact of Phase Noise on Uplink Cell-Free Massive MIMO OFDM
Cell-Free massive MIMO networks provide huge power gains and resolve inter-cell interference by coherent processing over a massive number of distributed instead of co-located antennas in access points (APs).
Exploiting Array Geometry for Reduced-Subspace Channel Estimation in RIS-Aided Communications
A reconfigurable intelligent surface (RIS) can be used to improve the channel gain between a base station (BS) and user equipment (UE), but only if its $N$ reflecting elements are configured properly.
Rate-Splitting assisted Massive Machine-Type Communications in Cell-Free Massive MIMO
This letter focuses on integrating rate-splitting multiple-access (RSMA) with time-division-duplex Cell-free Massive MIMO (multiple-input multiple-output) for massive machine-type communications.
Cramér-Rao Bounds for Holographic Positioning
Multiple antennas arrays play a key role in wireless networks for communications but also for localization and sensing applications.
Nyquist-Sampling and Degrees of Freedom of Electromagnetic Fields
A signal space approach is presented to study the Nyquist sampling, number of degrees of freedom and reconstruction of an electromagnetic field under arbitrary scattering conditions.
Wavenumber-Division Multiplexing in Line-of-Sight Holographic MIMO Communications
The simplest implementation provides the same spectral efficiency of a singular-value decomposition architecture with water-filling when the receiver size is comparable to the transmission range.
Electromagnetic Interference in RIS-Aided Communications
The model is used to show that electromagnetic interference has a non-negligible impact on communication performance, especially when the size of the RIS grows large.
Cramér-Rao Bounds for Near-Field Localization
Multiple antenna arrays play a key role in wireless networks for communications but also localization and sensing.
Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications
We will provide the formulas and derivations that are required to understand and analyze RIS-aided systems using signal processing, and exemplify how they can be utilized for improved communication, localization, and sensing.
Near- and Far-Field Communications with Large Intelligent Surfaces
This paper studies the uplink spectral efficiency (SE) achieved by two single-antenna user equipments (UEs) communicating with a Large Intelligent Surface (LIS), defined as a planar array consisting of $N$ antennas that each has area $A$.
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
In this paper, we use a deterministic propagation model for a planar array of arbitrary size, to demonstrate that the mentioned SNR behaviors, and associated power scaling laws, only apply in the far-field.
Information Theory Signal Processing Information Theory
Scalable Cell-Free Massive MIMO Systems
The main challenge is to achieve the benefits of cell-free operation in a practically feasible way, with computational complexity and fronthaul requirements that are scalable to large networks with many users.
Information Theory Signal Processing Information Theory
Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation
Cell-free Massive MIMO is considered as a promising technology for satisfying the increasing number of users and high rate expectations in beyond-5G networks.
Information Theory Signal Processing Information Theory
User Association and Load Balancing for Massive MIMO through Deep Learning
This work investigates the use of deep learning to perform user cell association for sum-rate maximization in Massive MIMO networks.
Deep Learning Power Allocation in Massive MIMO
The use of deep learning significantly improves the complexity-performance trade-off of power allocation, compared to traditional optimization-oriented methods.
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency
To determine when this approximation is accurate, basic properties of distortion correlation are first uncovered.
Information Theory Information Theory
Online convex optimization and no-regret learning: Algorithms, guarantees and applications
Spurred by the enthusiasm surrounding the "Big Data" paradigm, the mathematical and algorithmic tools of online optimization have found widespread use in problems where the trade-off between data exploration and exploitation plays a predominant role.
Massive MIMO has Unlimited Capacity
The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO.
Information Theory Information Theory
Distributed stochastic optimization via matrix exponential learning
In this paper, we investigate a distributed learning scheme for a broad class of stochastic optimization problems and games that arise in signal processing and wireless communications.
Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?
Numerical and analytical results show that the maximal EE is achieved by a massive MIMO setup wherein hundreds of antennas are deployed to serve a relatively large number of users using ZF processing.
Information Theory Networking and Internet Architecture Information Theory
