611 citations · 1.6k across the 35 of their papers we have counts for
41 papers
Federated Learning Using Three-Operator ADMM
Shashi Kant, José Mairton B. da Silva, Gabor Fodor +3
Federated learning (FL) has emerged as an instance of distributed machine learning paradigm that avoids the transmission of data generated on the users' side. Although data are not…
EVM Mitigation with PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM
Shashi Kant, Mats Bengtsson, Gabor Fodor +2
Although signal distortion-based peak-to-average power ratio (PAPR) reduction is a feasible candidate for orthogonal frequency division multiplexing (OFDM) to meet standard/regulat…
A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
Baptiste Cavarec, Hasan Basri Celebi, Mats Bengtsson +1
In this paper, we study the tradeoffs between complexity and reliability for decoding large linear block codes. We show that using artificial neural networks to predict the require…
EVM-Constrained and Mask-Compliant MIMO-OFDM Spectral Precoding
Shashi Kant, Mats Bengtsson, Gabor Fodor +2
Spectral precoding is a promising technique to suppress out-of-band emissions and comply with leakage constraints over adjacent frequency channels and with mask requirements on the…
Deep unfolding of the weighted MMSE beamforming algorithm
Lissy Pellaco, Mats Bengtsson, Joakim Jaldén
Downlink beamforming is a key technology for cellular networks. However, computing the transmit beamformer that maximizes the weighted sum rate subject to a power constraint is an…
Low-Complexity OFDM Spectral Precoding
Shashi Kant, Gabor Fodor, Mats Bengtsson +2
This paper proposes a new large-scale mask-compliant spectral precoder (LS-MSP) for orthogonal frequency division multiplexing systems. In this paper, we first consider a previousl…
On the Energy Efficiency of MIMO Hybrid Beamforming for Millimeter Wave Systems with Nonlinear Power Amplifiers
Nima N. Moghadam, Gábor Fodor, Mats Bengtsson +1
Multiple-input multiple-output (MIMO) millimeter wave (mmWave) systems are vulnerable to hardware impairments due to operating at high frequencies and employing a large number of r…
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
Antti Tölli, Hadi Ghauch, Jarkko Kaleva +7
Coordinated multipoint (CoMP) transmission and reception have been considered in cellular networks for enabling larger coverage, improved rates, and interference mitigation. To har…
Deep Learning for Frame Error Probability Prediction in BICM-OFDM Systems
Vidit Saxena, Joakim Jaldén, Mats Bengtsson +1
In the context of wireless communications, we propose a deep learning approach to learn the mapping from the instantaneous state of a frequency selective fading channel to the corr…
Relay-Pair Selection in Buffer-Aided Successive Opportunistic Relaying using a Multi-Antenna Source
Themistoklis Charalambous, Su Min Kim, Nikolaos Nomikos +2
We study a cooperative network with a buffer-aided multi-antenna source, multiple half-duplex (HD) buffer-aided relays and a single destination. Such a setup could represent a cell…
Schedule based Self Localization of asynchronous wireless nodes with experimental validation
Baptiste Cavarec, Satyam Dwivedi, Mats Bengtsson +1
In this paper we have proposed clock error mitigation from the measurements in the scheduled based self localization system. We propose measurement model with clock errors while fo…
Distributed Clustering for Multiuser Networks through Coalition Formation
Rami Mochaourab, Eduard Jorswieck, Mats Bengtsson
Clustering mechanisms are essential in certain multiuser networks for achieving efficient resource utilization. This lecture note presents the theory of coalition formation as a us…
Pilot Precoding and Combining in Multiuser MIMO Networks
Nima N. Moghadam, Hossein Shokri-Ghadikolaei, Gabor Fodor +2
Although the benefits of precoding and combining of data signals are widely recognized, the potential of these techniques for pilot transmission is not fully understood. This is pa…
Subspace Estimation and Decomposition for Hybrid Analog-Digital Millimetre-Wave MIMO systems
Hadi Ghauch, Mats Bengtsson, Taejoon Kim +1
In this work, we address the problem of channel estimation and precoding / combining for the so-called hybrid millimeter wave (mmWave) MIMO architecture. Our proposed channel estim…
Sum-rate Maximization in Sub-28 GHz Millimeter-Wave MIMO Interfering Networks
Hadi Ghauch, Taejoon Kim, Mats Bengtsson +1
MIMO systems in the lower part of the millimeter-wave spectrum band (i.e., below 28 GHz) do not exhibit enough directivity and selectively, as their counterparts in higher bands of…
Joint Coordinated Precoding and Discrete Rate Selection in Multicell MIMO Networks
Rasmus Brandt, Mats Bengtsson
Many practical wireless communications systems select their transmit rate from a finite set of modulation and coding schemes, which correspond to a set of discrete rates. In this p…
Globally Optimal Base Station Clustering in Interference Alignment-Based Multicell Networks
Rasmus Brandt, Rami Mochaourab, Mats Bengtsson
Coordinated precoding based on interference alignment is a promising technique for improving the throughputs in future wireless multicell networks. In small networks, all base stat…
Distributed Long-Term Base Station Clustering in Cellular Networks using Coalition Formation
Rasmus Brandt, Rami Mochaourab, Mats Bengtsson
Interference alignment (IA) is a promising technique for interference mitigation in multicell networks due to its ability to completely cancel the intercell interference through li…
Interference Alignment-Aided Base Station Clustering using Coalition Formation
Rasmus Brandt, Rami Mochaourab, Mats Bengtsson
Base station clustering is necessary in large interference networks, where the channel state information (CSI) acquisition overhead otherwise would be overwhelming. In this paper,…
Robust Optimal Power Distribution for Hyperthermia Cancer Treatment
Nafiseh Shariati, Dave Zachariah, Johan Karlsson +1
We consider an optimization problem for spatial power distribution generated by an array of transmitting elements. Using ultrasound hyperthermia cancer treatment as a motivating ex…
Pilot Clustering in Asymmetric Massive MIMO Networks
Rami Mochaourab, Emil Björnson, Mats Bengtsson
We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is o…
Linear Transceiver Optimization in Multicell MIMO Based on the Generalized Benders Decomposition
Rami Mochaourab, Mats Bengtsson
We study the maximum sum rate optimization problem in the multiple-input multiple-output interfering broadcast channel. The multiple-antenna transmitters and receivers are assumed…
Adaptive Pilot Clustering in Heterogeneous Massive MIMO Networks
Rami Mochaourab, Emil Björnson, Mats Bengtsson
We consider the uplink of a cellular massive MIMO network. Acquiring channel state information at the base stations (BSs) requires uplink pilot signaling. Since the number of ortho…
Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO systems
Hadi Ghauch, Taejoon Kim, Mats Bengtsson +1
Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised ga…