A5009064777- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Technologies
- Advanced Wireless Communication Techniques
- Wireless Communication Networks Research
- Full-Duplex Wireless Communications
- Wireless Communication Security Techniques
- Millimeter-Wave Propagation and Modeling
- Advanced Wireless Network Optimization
- Energy Harvesting in Wireless Networks
- Indoor and Outdoor Localization Technologies
- Error Correcting Code Techniques
- PAPR reduction in OFDM
- Cognitive Radio Networks and Spectrum Sensing
- IoT Networks and Protocols
- Power Line Communications and Noise
- Wireless Signal Modulation Classification
- IoT and Edge/Fog Computing
- Satellite Communication Systems
- Coding theory and cryptography
- Age of Information Optimization
- Caching and Content Delivery
- ICT Impact and Policies
- Wireless Body Area Networks
- Antenna Design and Analysis
University of Oulu
2016-2025
Indian Institute of Technology Indore
2023
University of Ruhuna
2021
Asian Institute of Technology
2005-2014
Pathumthani University
2008-2009
University of Moratuwa
2003-2005
This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up 1 Tbps, raising typical by orders-of-magnitude, support at railway speeds 1000 km/h. To achieve these goals, not only terrestrial networks will be evolved but they also integrated satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G communication networks will be the backbone digital transformation societies by providing ubiquitous, reliable, and near-instant connectivity for humans machines. Recent advances ML research has led enable a wide range novel technologies such as self-driving vehicles voice assistants. Such innovation possible result availability advanced models, large datasets, high computational power. On other hand,...
Semantic communication is considered the future of mobile communication, which aims to transmit data beyond Shannon's theorem communications by transmitting semantic meaning rather than bit-by-bit reconstruction at receiver's end. The paradigm bridge gap limited bandwidth problems in modern high-volume multimedia application content transmission. Integrating AI technologies with 6G networks paved way develop communication-based end-to-end systems. In this study, we have implemented a image...
A comprehensive performance analysis of the energy detector over fading channels with single antenna reception or diversity is developed. For no-diversity case and for maximal ratio combining (MRC) case, either Nakagami-m Rician fading, expressions probability detection are derived by using moment generating function (MGF) method density (PDF) method. The former, which avoids some difficulties latter, uses a contour integral representation Marcum-Q function. equal gain (EGC) cases L =2,3,4...
This paper explores the road to vastly improving broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, with peak data rates up 1 Tbps. Several enablers at infrastructure, spectrum, and protocol/algorithmic levels required realize intended goals 6G. At infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated...
Scenarios envisaged for mobile communication systems beyond 2020 imply that future applications and services will impose highly diverse requirements on the system design. To appropriately respond to these while ensuring an efficient usage of available spectrum resources,
The notion of a fast uplink grant is emerging as promising solution for enabling massive machine type communication (MTC) in the Internet Things over cellular networks. By using grant, devices (MTDs) will no longer require RA channels to send scheduling requests. Instead, resources can be actively allocated MTDs by base station. In this article, challenges and opportunities adopting support MTCs are investigated. First, fundamentals its advantages conventional scheduled uncoordinated access...
This paper addresses the problem of energy detection unknown deterministic signal a primary user in cognitive radio environment. As an extension to previous works, we focus on equal gain combining technique when wireless channel is modeled as Nakagami-m. We derive series form exact expressions for probability and false alarm number diversity branches are 1, 2, 3 L ges 4. Finally, performance variation shown against time bandwidth product decision statistic with aid numerical results.
In this paper we investigate the applicability of inband full-duplex (FD) radios in device-to-device communication (D2D) cellular systems. The key challenge FD radio design is large self-interference on receiver. It not possible to completely cancel radios. Considering residual self-interference, study performance system while D2D link operating half-duplex and mode. A considered users are exploiting same resources with uplink. We apply a power control method for pair limit interference from...
In this paper, candidate coding schemes are investigated for the new radio access technology (RAT) of fifth generation (5G) mobile communication standard. Enhanced broadband(eMBB) scenario 5G standard corresponding activities in third partnership project (3GPP) is considered. The evaluated terms block error rate (BLER), bit (BER), computational complexity, and flexibility. These parameters comprise a suitable set to assess performance different services applications. Turbo, low density...
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. Max-min rate optimization MIMO uplink setup formulated, where allocations are optimized order to maximize minimum rate. Instead of modeling using mathematical theory, and solving it with iterative algorithms, our proposed solution approach DL. Specifically, we model neural network (DNN) train an unsupervised manner...
An exact expression for the joint density of three correlated Rician variables is not available in open literature. In this letter, we derive new infinite series representations trivariate probability function (pdf) and cumulative distribution (cdf). Our results are limited to case where inverse covariance matrix tridiagonal. This seems most general one that tractable with Miller¿s approach cannot be extended more than variables. The outage triple branch selective combining (SC) receiver...
In this paper, we derive exact closed form bit error rate (BER) or symbol (SER) expressions for orthogonal frequency division multiplexing (OFDM) systems with carrier offset (CFO). We consider the performance of an OFDM system subject to CFO in additive white Gaussian noise (AWGN), flat and selective Rayleigh fading channels. The BER/ SER performances BPSK QPSK modulation schemes are analyzed AWGN frequency-flat channels while is considered frequency-selective Our results can easily be...
Blind sensing for identifying unused frequency bands is of particular interest in cognitive radio and ultra wide-band applications. Energy detection one such method proposed to identify the presence an unknown band-limited deterministic signal. In this paper, by using alternative series representation Marcum-Q function, exact average probability over Nakagami-m fading channel derived. Moreover, we formulate decision variable a selection diversity combined energy detector derive false alarm...
Detection of an unknown deterministic signal by using energy detector is promising for cognitive radio networks. In this paper, a new approach proposed to analyze the performance detector. It based on contour integral representation Marcum-Q function and use moment generating (MGF) signal-to-noise ratio (SNR). A decision variable constructed case maximal combining (MRC) reception. With its help MGF approach, MRC over i.i.d. Rician fading channels analyzed. This intractable with conventional...
For spectrum sensing in cognitive radio networks, the IEEE 802.22 standard requires detection of primary signals with a signal-to-noise ratio (SNR) as low -20 dB and receiver sensitivity -116 dBm. Under such low-SNR levels, performance conventional energy detector is analyzed this paper. The analysis includes novel expressions for missed-detection probability area under operating characteristic (ROC) curve. Thus, unified framework covering fading channels, square-law diversity combining,...
As the standardization of network-assisted device-to-device (D2D) communications by Third Generation Partnership Project progresses, research community has started to explore technology potential new advanced features that will largely impact performance 5G networks. For 5G, D2D is becoming an integrative term emerging technologies take advantage proximity communicating entities in licensed and unlicensed spectra. The European project Mobile Wireless Communication Enablers for 2020...
In this paper, we devise a highly efficient machine learning-based channel estimation for orthogonal frequency division multiplexing (OFDM) systems, in which the training of estimator is performed online. A simple learning module employed proposed estimator. The process thus much faster and required data reduced significantly. Besides, construction approach utilizing least square (LS) results so that can be collected during transmission. feasibility novel verified by theoretical analysis...
We provide an overview of the most recent advancements and outcomes European 6G flagship project Hexa-X, on topic in-network Artificial Intelligence (AI) Machine Learning (ML). first a general introduction to its ambitions in terms use cases (UCs), key performance indicators (KPIs), value (KVIs). Then, we identify specific challenges realize, implement, enable native integration AI ML 6G, both as means for designing flexible, low-complexity, reconfigurable networks ( <italic...
This letter analyzes the performance of energy- detection-based spectrum sensing in a cognitive radio (CR) possessing multiple correlated antennas when channel from primary user (PU) to CR is Nakagami-m faded. The probability detection by employing square law combining (SLC) derived using MGF-based approach. Special cases equally correlated, exponentially and linear array 2, 3 4 arbitrarily are treated. Numerical simulation results used quantify detector as function antenna correlation...
We present a unified performance analysis of system in which the source and destination are equipped with multiple antennas communicating via single antenna relay. Our studies can be divided into two parts. First we consider maximal ratio transmission (MRT) at combining (MRC) by assuming general correlation structures arbitrary eigenvalue multiplicities destination. Then transmit selection (TAS) uncorrelated MRC correlated is investigated. The exact closed form expressions for outage...
This paper investigates the effect of feedback delay on performance amplify-and-forward (AF) relay selection over a Nakagami- <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> fading environment. Spatial diversity can be improved by employing multiple relays with selection; however, this gain cannot fully realized when is present in decision metric. Hence, paper, we quantify detrimental deriving exact closed-form solution to outage...
One of the many problems faced by current cellular network technology is underutilization dedicated licensed spectrum operators. An emerging paradigm to solve this issue allow multiple operators share some parts each other's spectrum. Previous works on sharing have failed integrate theoretical insights provided recent developments in stochastic geometrical approaches analysis with objectives resource allocation problems. In paper, we study non-orthogonal assignment goal maximizing social...
We investigate the use of an intelligent reflecting surface (IRS) in a millimeter-wave (mmWave) vehicular communication network. An consists passive elements, which can reflect incoming signals with adjustable phase shifts. By properly tuning shifts we improve link performance. This is known as optimization or beamforming. consider problem rate maximization uplink, utilizes IRS. However, using IRS brings more challenges terms channel estimation. propose two schemes to reduce estimation...