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Markku J. Juntti

12 accepted papers

2025

Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems

ICASSP 2025accepted

While Cramér-Rao lower bound is an important metric in sensing functions in integrated sensing and communications (ISAC) designs, its optimization usually involves a computationally expensive solution such as semidefinite relaxation. In this paper, we aim to develop a low-complexity yet efficient al…

Cited by 12SourceScholar
2025

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems

ICASSP 2025accepted

Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target JCAS system to ensure fairness and balance between communications and sensing performance. We jointly optimize the tran…

Cited by 0SourceScholar
2023

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems

ICASSP 2023accepted

Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. In this paper, we propose an efficient deep unfolding-based HBF scheme, referred to as ManNet-HBF, that approximately maximizes the system…

Cited by 0SourceScholar
2023

Joint Estimation of Clustered user Activity and Correlated Channels with Unknown Covariance in mMTC

ICASSP 2023accepted

This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a clustered user activity pattern. In particular, we address the JUICE in massive machine-type communications (mMTC) network under correlated Rayleigh fading channels with unknown channel covarian…

Cited by 2SourceScholar
2023

Machine Learning-Aided Piece-Wise Modeling Technique of Power Amplifier for Digital Predistortion

ICASSP 2023accepted

We propose a new power amplifier (PA) behavioral modeling approach, to characterize and compensate for the signal quality degrading effects induced by a PA with a machine learning (ML) aided piece-wise (PW) modeling approach. Instead of using a single pruned Volterra model, we use multiple small-siz…

Cited by 0SourceScholar
2021

Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC

ICASSP 2021accepted

Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC). The sparse pattern in users’ activity allows to solve the JUICE as a compressed sensing problem in a multiple measurement vector (MMV) setup. This paper addresses th…

Cited by 0SourceScholar
2020

Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

ICASSP 2020accepted

We consider uplink multiuser wireless communications systems, where the base station (BS) receiver is equipped with a large-scale antenna array and resolution adaptive analog-to-digital converters (ADCs). The aim is to maximize the energy efficiency (EE) at the BS subject to constraints on the users…

Cited by 0SourceScholar
2019

Distributed Noncoherent Transmit Beamforming for Dense Small Cell Networks

ICASSP 2019accepted

Beamforming design for downlink coordinated multi-point (CoMP) transmission of dense small cell networks is considered. The goal is to maximize the weighted sum rate of the system subject to constraints on maximum transmit power at macro cell and small cell base stations (BSs). Here we focus on the…

Cited by 0SourceScholar
2018

Globally Optimal Energy Efficiency Maximization for Capacity-Limited Fronthaul Crans with Dynamic Power Amplifiers' Efficiency

ICASSP 2018accepted

A joint beamforming and remote radio head (RRH)-user association design for downlink of cloud radio access networks (CRANs) is considered. The aim is to maximize the system energy efficiency subject to constraints on users' quality-of-service, capacity of front haul links and transmit power. Differe…

Cited by 0SourceScholar
2017

DoF analysis in a two-layered heterogeneous wireless interference network

ICASSP 2017accepted

Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-layered interference network. The first layer of the interference network is the backhaul layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner ty…

Cited by 0SourceScholar
2017

Globally optimal beamforming design for downlink CoMP transmission with limited backhaul capacity

ICASSP 2017accepted

This paper considers a multicell downlink channel in which multiple base stations (BSs) cooperatively serve users by jointly precoding shared data transported from a central processor over limited-capacity backhaul links. We jointly design the beamformers and BS-user link selection so as to maximize…

Cited by 0SourceScholar
2017

Joint analog and digital self-interference cancellation and full-duplex system performance

ICASSP 2017accepted

The challenges with full-duplex transceiver (FD) implementation and transmission in small area radio communication systems are introduced. The main challenge in the FD transceiver design is the self-interference (SI). A three-stage SI cancellation is used for SI mitigation. Analog SI isolation is pe…

Cited by 0SourceScholar