no code implementations • 9 May 2024 • Abdul Basit Khattak, Onel L. A. López, Amirhossein Azarbahram, Deepak Kumar, Matti Latva-aho
Radio frequency (RF) wireless power transfer (WPT) is a key technology for future low-power wireless systems.
no code implementations • 7 May 2024 • Amirhossein Azarbahram, Onel L. A. López, Petar Popovski, Shashi Raj Pandey, Matti Latva-aho
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for sustainable support of massive Internet of Things (IoT).
no code implementations • 13 Jan 2024 • Arthur Sousa de Sena, Jacek Kibilda, Nurul Huda Mahmood, André Gomes, Matti Latva-aho
In this letter, we study an attack that leverages a reconfigurable intelligent surface (RIS) to induce harmful interference toward multiple users in massive multiple-input multiple-output (mMIMO) systems during the data transmission phase.
no code implementations • 12 Jan 2024 • Arthur S. de Sena, Mehdi Rasti, Nurul H. Mahmood, Matti Latva-aho
This paper delves into the unexplored frequency-dependent characteristics of beyond diagonal reconfigurable intelligent surfaces (BD-RISs).
no code implementations • 26 Dec 2023 • Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
In this paper, a joint O-RAN/MEC orchestration using a Bayesian deep reinforcement learning (RL)-based framework is proposed that jointly controls the O-RAN functional splits, the allocated resources and hosting locations of the O-RAN/MEC services across geo-distributed platforms, and the routing for each O-RAN/MEC data flow.
no code implementations • 18 Nov 2023 • Mehdi Monemi, Mohammad Amir Fallah, Mehdi Rasti, Matti Latva-aho
However, obtaining exact CSI for ELPMs is not feasible in all environments; we alleviate this by proposing an adaptive novel CSI-independent ML scheme based on the TD3 deep-reinforcement-learning (DRL) method.
no code implementations • 15 Nov 2023 • Mehdi Letafati, Samad Ali, Matti Latva-aho
This way, we make the constellation symbols sent by the transmitter, and what is inferred (reconstructed) at the receiver become as similar as possible, resulting in as few mismatches as possible.
no code implementations • 30 Oct 2023 • Mehdi Letafati, Samad Ali, Matti Latva-aho
Thanks to the outstanding achievements from state-of-the-art generative models like ChatGPT and diffusion models, generative AI has gained substantial attention across various industrial and academic domains.
no code implementations • 23 Oct 2023 • A. Indika Perera, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho
We propose a BS selection algorithm for UE positioning based on the GDOP of the BSs participating in the positioning process.
no code implementations • 14 Oct 2023 • Amirhossein Azarbahram, Onel L. A. Lopez, Petar Popovski, Matti Latva-aho
One of the primary goals of future wireless systems is to foster sustainability, for which, radio frequency (RF) wireless power transfer (WPT) is considered a key technology enabler.
no code implementations • 11 Oct 2023 • Mehdi Letafati, Samad Ali, Matti Latva-aho
In this article, we outline the applications of diffusion models in wireless communication systems, which are a new family of probabilistic generative models that have showcased state-of-the-art performance.
no code implementations • 9 Oct 2023 • Samitha Gunarathne, Thushan Sivalingam, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Managing inter-cell interference is among the major challenges in a wireless network, more so when strict quality of service needs to be guaranteed such as in ultra-reliable low latency communications (URLLC) applications.
no code implementations • 3 Jul 2023 • Amirhossein Azarbahram, Onel L. A. Lopez, Richard D. Souza, Rui Zhang, Matti Latva-aho
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for charging the Internet of Things.
no code implementations • 3 Jul 2023 • Amirhossein Azarbahram, Onel L. A. López, Matti Latva-aho
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for future wireless systems.
no code implementations • 4 Apr 2023 • Chandu Jayawardhana, Thushan Sivalingam, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
It is found that such a decomposition-based prediction method reduces the root mean squared error of the prediction by $20 - 25\%$.
no code implementations • 13 Sep 2022 • Eslam Eldeeb, Dian Echevarría Pérez, Jean Michel de Souza Sant'Ana, Mohammad Shehab, Nurul Huda Mahmood, Hirley Alves, Matti Latva-aho
Many emerging Internet of Things (IoT) applications rely on information collected by sensor nodes where the freshness of information is an important criterion.
no code implementations • 24 Feb 2022 • Dilin Dampahalage, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho
In the on-grid case, we propose an algorithm to estimate the direct and RIS channels.
no code implementations • 28 Nov 2021 • Christian Padilla, Ramin Hashemi, Nurul Huda Mahmood, Matti Latva-aho
Ultra reliable low latency communications (URLLC) is a new service class introduced in 5G which is characterized by strict reliability $(1-10^{-5})$ and low latency requirements (1 ms).
no code implementations • 1 Oct 2021 • Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho
Leveraging higher frequencies up to THz band paves the way towards a faster network in the next generation of wireless communications.
no code implementations • 13 Jul 2021 • Nipuni Ginige, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho
Further, we have shown that the proposed estimator is robust to interference caused by the hardware impairments at the transceiver and RIS.
no code implementations • 21 Jun 2021 • Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Grant-free random access and uplink non-orthogonal multiple access (NOMA) have been introduced to reduce transmission latency and signaling overhead in massive machine-type communication (mMTC).
no code implementations • 17 Mar 2021 • Insaf Ismath, Samad Ali, Nandana Rajatheva, Matti Latva-aho
Access points (APs) in millimeter-wave (mmWave) and sub-THz-based user-centric (UC) networks will have sleep mode functionality.
no code implementations • 20 Feb 2021 • Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho
Specifically, we model a deep neural network (DNN) and train it in an unsupervised manner to learn the optimum user power allocations which maximize the minimum user rate.
no code implementations • 20 Jan 2021 • Mohammad Shehab, Hirley Alves, Eduard A. Jorswieck, Endrit Dosti, Matti Latva-aho
Effective Capacity defines the maximum communication rate subject to a specific delay constraint, while effective energy efficiency (EEE) indicates the ratio between effective capacity and power consumption.
Information Theory Information Theory
no code implementations • 13 Jan 2021 • Nelson J. Mayedo Rodríguez, Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho
Data aggregation is an efficient approach to handle the congestion introduced by a massive number of machine type devices (MTDs).
no code implementations • 13 Jan 2021 • Eduardo Noboro Tominaga, Hirley Alves, Onel Luiz Alcaraz López, Richard Demo Souza, João Luiz Rebelatto, Matti Latva-aho
In this work we study the coexistence in the same Radio Access Network (RAN) of two generic services present in the Fifth Generation (5G) of wireless communication systems: enhanced Mobile BroadBand (eMBB) and massive Machine-Type Communications (mMTC).
no code implementations • 12 Jan 2021 • Eduardo Noboro Tominaga, Hirley Alves, Richard Demo Souza, João Luiz Rebelatto, Matti Latva-aho
The diverse requirements of these services in terms of data-rates, number of connected devices, latency and reliability can lead to a sub-optimal use of the 5G network, thus network slicing is proposed as a solution that creates customized slices of the network specifically designed to meet the requirements of each service.
1 code implementation • 8 Dec 2020 • Osmel Martínez Rosabal, Onel L. Alcaraz López, Hirley Alves, Samuel Montejo-Sánchez, Matti Latva-aho
In this paper, we investigate the optimal deployment of PBs that guarantees a network-wide energy outage constraint.
no code implementations • 4 Dec 2020 • Mohammad Majidzadeh, Jarkko Kaleva, Nuutti Tervo, Harri Pennanen, Antti Tolli, Matti Latva-aho
Hybrid analog-digital beamforming has been recognised as a promising approach for large-scale MIMO implementations with a reduced number of costly and power-hungry RF chains.
no code implementations • 15 Sep 2020 • Insaf Ismath, K. B. Shashika Manosha, Samad Ali, Nandana Rajatheva, Matti Latva-aho
In this paper, we propose a novel deep contextual bandit (DCB) based approach to perform fast and efficient IA in mmWave based UC UD networks.
no code implementations • 19 Nov 2019 • Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho
The newly proposed low complexity autoencoder was capable of achieving a better BER performance than half-rate 16-QAM with hard decision decoding over the full 0-10 dB $E_{b}/N_{0}$ range and a better BER performance than the soft decision decoding in 0-4 dB $E_{b}/N_{0}$ range.
no code implementations • 26 Aug 2018 • Nalin Jayaweera, Nandana Rajatheva, Matti Latva-aho
If we are to reduce the effort for the processing units inside the car, we need to uplink the data to edge or an appropriately placed cloud.
no code implementations • 27 Aug 2013 • Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Matti Latva-aho
In this paper, a novel, backhaul-aware approach to interference management in wireless small cell networks is proposed.