A5058535768- Advanced MIMO Systems Optimization
- Lung Cancer Treatments and Mutations
- Acute Lymphoblastic Leukemia research
- Millimeter-Wave Propagation and Modeling
- Cooperative Communication and Network Coding
- Multiple and Secondary Primary Cancers
- Error Correcting Code Techniques
- Microwave Engineering and Waveguides
- Energy Harvesting in Wireless Networks
- Advanced Wireless Communication Techniques
- Bayesian Modeling and Causal Inference
- Wireless Signal Modulation Classification
- Business Process Modeling and Analysis
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Advanced Wireless Communication Technologies
- Antenna Design and Analysis
- Neutropenia and Cancer Infections
- Thyroid Cancer Diagnosis and Treatment
- Effects of Radiation Exposure
- Economic and Financial Impacts of Cancer
- Gaussian Processes and Bayesian Inference
- Health Systems, Economic Evaluations, Quality of Life
- Head and Neck Cancer Studies
- Statistical Methods in Clinical Trials
- Speech and Audio Processing
Huawei Technologies (Sweden)
2019-2023
KTH Royal Institute of Technology
2011-2018
UNSW Sydney
2015-2016
Multiple-input multiple-output (MIMO) millimeter-wave (mm-wave) systems are vulnerable to hardware impairments due operating at high frequencies and employing a large number of radio-frequency components. In particular, nonlinear power amplifiers (PAs) employed the transmitter distort signal when operated close saturation energy efficiency considerations. this paper, we study performance an MIMO mm-wave hybrid beamforming scheme in presence PAs. First, develop statistical model for...
Despite the tremendous research effort spent on MIMO systems - very few papers address impact of hardware imperfections. In this paper we analyze distortion noise transmitter branches a transmitter. particular cross-correlation noises for case that transmitted signals are correlated. This arises when there is just single stream being with beamforming or in multiple streams and linear precoding. We problem two ways: using analytical derivations measurements our testbed. assume impaired by 3rd...
In this paper we present experimental implementations of interference alignment (IA) and coordinated multi-point transmission (CoMP). We provide results for a system with three base-stations mobile-stations all having two antennas. further employ OFDM modulation, high-order constellations, measure many positions both line-of-sight non-line-of-sight under limited conditions. find the CoMP to perform better than IA at cost higher back-haul capacity requirement. During measurements also logged...
Although the benefits of precoding and combining data signals are widely recognized, potential these techniques for pilot transmission is not fully understood. This particularly relevant multiuser multiple-input multiple-output (MU-MIMO) cellular systems using millimeter-wave (mmWave) communications, where multiple antennas have to be used both at transmitter receiver overcome severe path loss. In this paper, we characterize gains in terms channel estimation quality achievable rate....
In this paper, we innovately use graph neural networks (GNNs) to learn a message-passing solution for the inference task of massive multiple multiple-input multiple-output (MIMO) detection in wireless communication. We adopt graphical model based on Markov random field (MRF) where belief propagation (BP) yields poor results when it assumes uniform prior over transmitted symbols. Numerical simulations show that, under assumption, our GNN-based MIMO outperforms minimum mean-squared error...
Interference alignment has triggered high impact research in wireless communications since it was proposed nearly 10 years ago. However, the vast majority of is centered on theory interference and hardly feasible view existing state-of-the-art technologies. Although several groups have assessed feasibility via testbed measurements realistic environments, experimental evaluation still its infancy most experiments were limited to simpler scenarios configurations. This article summarizes...
This paper presents for the first time test-bed implementation of an iterative interference alignment and power control algorithm downlink transmission in a multiple-input multiple-output (MIMO) cellular network. The network is composed three cells where within each cell one base station (BS) communicates with mobile (MS). Each terminal equipped two antennas. All BSs transmit at same frequency band. Transmitter beamforming vectors receiver filtering are computed according to concept,...
Biomedical implanted sensors and medical micro robots are emerging devices which facilitate health monitoring, therapies, minimally invasive surgeries. The success of these highly relies on establishing reliable communication links between inside outside the body in presence severe constraints energy consumptions. We develop an efficient pilot-assisted data transmission technique for a single-antenna sensor/micro-robot to multi-antenna receiver surface though non-homogeneous propagation environment.
Although the benefits of precoding and combining data streams are widely recognized, potential pilot signals at user equipment (UE) side them base station (BS) has not received adequate attention. This paper considers a multiuser multiple input output (MU-MIMO) cellular system in which BS acquires channel state information (CSI) by means uplink proposes to improve CSI quality. We first evaluate estimation performance baseline scenario is acquired with no precoding. Next, we characterize...
In an organisation several Business Process Management System (BPMS) products can co-exist and work alongside each other. Each one of these BPM tools has its own definition process instances, creating a heterogeneous environment. This reduces interoperability between business management systems increases the effort involved in analysing data. this paper, we propose common model for named Instance Model (BPIM), which provides holistic view instances generated from multiple systems. BPIM...
This paper addresses channel training and data communication over multi-input (MIMO) interference networks. We consider a pilot-assisted alignment scheme in which part of radio resources are allocated to the remaining used for transmission. A more accurate estimation can be obtained by increasing pilot transmission power. Since each transmitter has limited energy budget, this implies that less power is available Clearly, there trade off between one communication. In order investigate off,...
Multiple-Input Multiple-Output (MIMO) systems are essential for wireless communications. Since classical algorithms symbol detection in MIMO setups require large computational resources or provide poor results, data-driven becoming more popular. Most of the proposed algorithms, however, introduce approximations leading to degraded performance realistic systems. In this paper, we a neural-enhanced hybrid model, augmenting analytic backbone algorithm with state-of-the-art neural network...
Belief propagation (BP) can do exact inference in loop-free graphs, but its performance could be poor graphs with loops, and the understanding of solution is limited. This work gives an interpretable belief rule that actually minimization a localized α-divergence. We term this algorithm as α (α-BP). The α-BP tested MAP (maximum posterior) problems, where outperform (loopy) BP by significant margin even fully-connected graphs.
Data traffic over wireless communication networks has experienced a tremendous growth in the last decade, and it is predicted to exponentially increase next decades. Enabling future fulfill this expectation challenging task both due scarcity of radio resources (e.g. spectrum energy), also inherent characteristics transmission medium. Wireless general subject two phenomena: fading interference. The elegant interference alignment concept reveals that with proper signalling design, different...
Although the benefits of precoding and combining data signals are widely recognized, potential these techniques for pilot transmission is not fully understood. This particularly relevant multiuser multiple-input multiple-output (MU-MIMO) cellular systems using millimeter-wave (mmWave) communications, where multiple antennas will have to be used both at transmitter receiver overcome severe path loss. In this paper, we characterize gains in terms channel estimation quality achievable rate....
Multiple-Input Multiple-Output (MIMO) systems are essential for wireless communications. Sinceclassical algorithms symbol detection in MIMO setups require large computational resourcesor provide poor results, data-driven becoming more popular. Most of the proposedalgorithms, however, introduce approximations leading to degraded performance realistic MIMOsystems. In this paper, we a neural-enhanced hybrid model, augmenting analyticbackbone algorithm with state-of-the-art neural network...
<p>Supplementary Table S6a: Objective response rate (ORR) in the 95 NSCLC patients from UCLA cohort that had at least 1 set of thyroid values obtained on trial available for analysis stratified by presence or absence an abnormal TSH value varying qualities (Any, High, Low, Both High and Low noted).</p>
<p>Table S3: The occurrence of a treatment related AE (trAE) in the 97 patients treated at UCLA on KEYNOTE-001 clinical trial, stratified by history thoracic radiation therapy (TRT) or prior to any location. P values computed via Fisher's exact test.</p>
<p>Table S1: All adverse events occurring in > 5% of patients the UCLA NSCLC cohort 97 treated on KEYNOTE-001.</p>
<p>Supplementary Table S5a: Cox proportional hazards models for progression-free survival (PFS) with number of treatment related select adverse events included as a time-varying covariate. Listed are results from both unadjusted and adjusted models. Hazard ratio estimates marked '(+1)' correspond to the incremental effect unit increase in relevant predictor.</p>
<p>Supplementary Figure S1A-B. ORR, PFS, and OS analysis for UCLA NSCLC cohort of KEYNOTE-001 trial. all 97 patients in the trial stratified by occurrence a (A) treatment related adverse event (trAE) or (B) select AE.</p>