240 citations · 2.2k across the 111 of their papers we have counts for
19 papers · 1 filter
Predictive Resource Allocation for URLLC using Empirical Mode Decomposition
Chandu Jayawardhana, Thushan Sivalingam, Nurul Huda Mahmood +2
Effective resource allocation is a crucial requirement to achieve the stringent performance targets of ultra-reliable low-latency communication (URLLC) services. Predicting future…
Supervised Learning based Sparse Channel Estimation for RIS aided Communications
Dilin Dampahalage, K. B. Shashika Manosha, Nandana Rajatheva +1
An reconfigurable intelligent surface (RIS) can be used to establish line-of-sight (LoS) communication when the direct path is compromised, which is a common occurrence in a millim…
A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios
Christian Padilla, Ramin Hashemi, Nurul Huda Mahmood +1
Ultra reliable low latency communications (URLLC) is a new service class introduced in 5G which is characterized by strict reliability and low latency requirements (1…
LiDAR Aided Human Blockage Prediction for 6G
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. However, such shorter wavelengths are suscept…
Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments
Nipuni Ginige, K. B. Shashika Manosha, Nandana Rajatheva +1
Reconfigurable intelligent surface (RIS) is an emerging technology for improving performance in fifth-generation (5G) and beyond networks. Practically channel estimation of RIS-ass…
Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks
Insaf Ismath, Samad Ali, Nandana Rajatheva +1
Access points (APs) in millimeter-wave (mmWave) and sub-THz-based user-centric (UC) networks will have sleep mode functionality. As a result of this, it becomes challenging to solv…
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva +1
A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed. Ma…
On the SIR Meta Distribution in Massive MTCNetworks with Scheduling and Data Aggregation
Nelson J. Mayedo Rodríguez, Onel L. Alcaraz López, Hirley Alves +1
Data aggregation is an efficient approach to handle the congestion introduced by a massive number of machine type devices (MTDs). The aggregators not only collect data but also imp…
Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception
Eduardo Noboro Tominaga, Hirley Alves, Onel Luiz Alcaraz López +3
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: enhance…
Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC
Eduardo Noboro Tominaga, Hirley Alves, Richard Demo Souza +2
The 5G systems will feature three generic services: enhanced Mobile BroadBand (eMBB), massive Machine-Type Communications (mMTC) and Ultra-Reliable and Low-Latency Communications (…
Hybrid Beamforming for mm-Wave Massive MIMO Systems with Partially Connected RF Architecture
Mohammad Majidzadeh, Jarkko Kaleva, Nuutti Tervo +3
To satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive MIMO technology with hig…
On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer
Osmel Martínez Rosabal, Onel L. Alcaraz López, Hirley Alves +2
Wireless energy transfer (WET) is emerging as an enabling green technology for Internet of Things (IoT) networks. WET allows the IoT devices to wirelessly recharge their batteries…
Intelligent Reflecting Surface Aided Vehicular Communications
Dilin Dampahalage, K. B. Shashika Manosha, Nandana Rajatheva +1
We investigate the use of an intelligent reflecting surface (IRS) in a millimeter-wave (mmWave) vehicular communication network. An intelligent reflecting surface consists of passi…
Deep Contextual Bandits for Fast Initial Access in mmWave Based User-Centric Ultra-Dense Networks
Insaf Ismath, K. B. Shashika Manosha, Samad Ali +2
Millimeter wave (mmWave) based multiple-input multiple-output (MIMO) capable user-centric (UC) ultra-dense (UD) networks are suggested to facilitate high throughput requirements of…
A 6G White Paper on Connectivity for Remote Areas
Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini +31
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low inco…
Hierarchical User Clustering for mmWave-NOMA Systems
Dileepa Marasinghe, Nalin Jayaweera, Nandana Rajatheva +1
Non-orthogonal multiple access (NOMA) and mmWave are two complementary technologies that can support the capacity demand that arises in 5G and beyond networks. The increasing numbe…
An Initial Access Optimization Algorithm for millimeter Wave 5G NR Networks
A. Indika Perera, K. B. Shashika Manosha, Nandana Rajatheva +1
The millimeter wave (mmWave) communication uses directional antennas. Hence, achieving fine alignment of transmit and receive beams at the initial access phase is quite challenging…
Block Error Performance of NOMA with HARQ-CC in Finite Blocklength
Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho
This paper investigates the performance of a two-user downlink non-orthogonal multiple access (NOMA) system using hybrid automatic repeat request with chase combining (HARQ-CC) in…
Admission Control in 5G Networks for the Coexistence of eMBB-URLLC Users
Nipuni Uthpala Ginige, K. B. Shashika Manosha, Nandana Rajatheva +1
In this paper, we consider the problem of admission control in 5G networks where enhanced mobile broadband (eMBB) users and ultra-reliable low-latency communication (URLLC) users a…