no code implementations • 18 Apr 2024 • Mahmoud Zaher, Emil Björnson, Marina Petrova
Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas.
no code implementations • 16 Feb 2024 • Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova
Integrated Sensing and Communication (ISAC) is considered one of the crucial technologies in the upcoming sixth-generation (6G) mobile communication systems that could facilitate ultra-precise positioning of passive and active targets and extremely high data rates through spectrum coexistence and hardware sharing.
no code implementations • 24 Nov 2023 • Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova
Enabling passive sensing of the environment using cellular base stations (BSs) will be one of the disruptive features of the sixth-generation (6G) networks.
no code implementations • 23 Oct 2023 • Navid Keshtiarast, Pradyumna Kumar Bishoyi, Marina Petrova
When sensing and communication share the same spectrum, the communication links in the JCAS networks experience interference from both sensing and communication signals.
no code implementations • 25 Jul 2023 • Wei Shi, Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Marina Petrova
However, with conventional RL methods, the decision variables (though being deployed at various network layers) are typically optimized in the same control loop, leading to significant practical limitations on the control loop's delay as well as excessive signaling and energy consumption.
Hierarchical Reinforcement Learning reinforcement-learning +1
no code implementations • 12 May 2023 • Mahmoud Zaher, Emil Björnson, Marina Petrova
The existence of unknown interference is a prevalent problem in wireless communication networks.
no code implementations • 12 Jan 2023 • Sara Khosravi, Hossein S. Ghadikolaei, Jens Zander, Marina Petrova
In this paper, we develop an algorithm for joint handover and beam tracking in millimeter-wave (mmWave) networks.
no code implementations • 22 Dec 2022 • Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Deniz Gündüz, Marina Petrova
Our simulation results confirm that our solution can significantly decrease the training delay of the distributed AI service while keeping the URLLC availability above its required threshold and close to the scenario where URLLC solely consumes all network resources.
no code implementations • 6 Sep 2022 • Mahmoud Zaher, Emil Björnson, Marina Petrova
The algorithms provide a systematic procedure for initial access and update of the serving APs and assigned pilot sequence to each UE.
no code implementations • 19 May 2022 • Sara Khosravi, Hossein S. Ghadikolaeiy, Jens Zander, Marina Petrova
Nevertheless, the need for beamforming and directional communication between the transmitter and the receiver increases the complexity of the channel estimation and link establishment phase.
1 code implementation • 7 Sep 2021 • Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova
Further, we develop a clustered DNN model where the LSF parameters of a small number of APs, forming a cluster within a relatively large network, are used to jointly approximate the power coefficients of the cluster.
no code implementations • 3 Nov 2020 • Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
Millimeter-wave (mmWave) communication is a promising solution to the high data rate demands in the upcoming 5G and beyond communication networks.
no code implementations • 24 Mar 2020 • Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
We show that our method provides high rate and reliability in all locations of the user's trajectory with a minimal number of handovers.
no code implementations • 23 Dec 2019 • Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
We design a lightweight beam-searching algorithm for mobile millimeter-wave systems.
no code implementations • 15 Jul 2016 • S. Senthilmurugan, Junaid Ansari, Petri Mähönen, T. G. Venkatesh, Marina Petrova
We implement our proposed CSA framework in a wireless test-bed and comprehensively evaluate its performance by recreating the realistic PU channel occupancy patterns.