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A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities
Due to the potential of metasurfaces to enhance both communication and sensing performance, numerous papers have explored the performance gains of using metasurfaces to improve ISAC.
Robust Beamforming Design for Fairness-Aware Energy Efficiency Maximization in RIS-Assisted mmWave Communications
In addition, adjusting the fairness design parameter can yield a favorable trade-off between energy efficiency and user fairness compared to methods that exclusively focus on optimizing one of these metrics.
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard.
Low-Complexity Reliability-Based Equalization and Detection for OTFS-NOMA
Motivated by this, in this paper we propose a low-complexity method for equalization and detection for OTFS-NOMA.
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting
At the same time, the complexity of the proposed scheme grows linearly with the number of IRS elements while that of the benchmark scheme is proportional to the cube of the number of IRS elements.
On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications
In the first stage, we maximize the energy efficiency, and in the second stage we maximize the fairness subject to a minimum energy efficiency constraint.
Low-Complexity Equalization and Detection for OTFS-NOMA
Our proposed method uses an iterative process where in each iteration, an equalizer based on the least-squares with QR factorization (LSQR) algorithm is followed by a novel reliability zone (RZ) detection scheme which estimates the reliable symbols of the users and then uses interference cancellation to remove MUI.
Joint CFO and Channel Estimation for RIS-aided Multi-user Massive MIMO Systems
This becomes more critical in RIS-aided communications, as even a small channel estimation error leads to a significant performance loss.
Ergodic Secrecy Rate of Optimal Source Selection in a Multi-Source System with Unreliable Backhaul
The use of multiple source nodes with wireless backhaul is considered for secrecy enhancement through source node selection in future wireless networks.
Recurrent Neural Network Assisted Transmitter Selection for Secrecy in Cognitive Radio Network
In this paper, we apply the long short-term memory (LSTM), an advanced recurrent neural network based machine learning (ML) technique, to the problem of transmitter selection (TS) for secrecy in an underlay small-cell cognitive radio network with unreliable backhaul connections.
Transmitter Selection for Secrecy in Cognitive Small-Cell Networks with Backhaul Knowledge
The small-cell network is operating under a spectrum sharing agreement with a primary network in a cognitive radio system.
Transmitter Selection for Secrecy in a Frequency Selective Fading Channel with Unreliable Backhaul
In this paper, a communication network using single carrier with cyclic prefix modulation over frequency selective channels is considered, where an access point provides connectivity to a legitimate destination through multiple transmitters with unreliable backhaul links in the presence of an eavesdropper.
Resource Allocation for Mixed Numerology NOMA
Non-orthogonal multiple access (NOMA) techniques can potentially be used to accommodate users with different numerologies while also gaining the performance benefits associated with NOMA.
Optimization of RIS-aided MIMO Systems via the Cutoff Rate
The main difficulty concerning optimizing the mutual information (MI) in reconfigurable intelligent surface (RIS)-aided communication systems with discrete signaling is the inability to formulate this optimization problem in an analytically tractable manner.
Information Theory Information Theory
