ORCID Profile
0000-0002-9373-5289
Current Organisation
Australian National University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Signal Processing | Wireless Communications | Communications Technologies | Communications engineering | Electrical and Electronic Engineering | Signal processing | Wireless communication systems and technologies (incl. microwave and millimetrewave) |
Expanding Knowledge in Engineering | Mobile Data Networks and Services | Command, Control and Communications | Expanding Knowledge in Technology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
Publisher: IEEE
Date: 12-2015
Publisher: IEEE
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: IEEE
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: IEEE
Date: 10-2008
Publisher: IEEE
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2012
Publisher: ACM
Date: 28-06-2010
Publisher: IEEE
Date: 12-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: IEEE
Date: 05-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2013
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: IEEE
Date: 09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-0007
Publisher: IEEE
Date: 08-2015
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2020
Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 10-2009
Publisher: Institution of Engineering and Technology
Date: 15-10-2017
DOI: 10.1049/PBTE076E_CH4
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 2014
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: IEEE
Date: 06-2013
Publisher: IEEE
Date: 10-2017
Publisher: IEEE
Date: 09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Publisher: IEEE
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: IEEE
Date: 06-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2014
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 12-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: Walter de Gruyter GmbH
Date: 06-2014
DOI: 10.2478/S11536-013-0286-Y
Abstract: Objective: To identify the viewpoints and perceptions of different stakeholders regarding high cost medicines (HCMs). Methods: A systematic review of the literature was performed to identify original research articles. Using predefined categories, data related to the viewpoints of different stakeholders was systematically extracted and analyzed. Results: Thirty seven original research articles matched the criteria. The main stakeholders identified include physicians, patients, public and health funding authorities. The influence of media and other economic and ethical issues were also identified in the literature. A large number of stakeholders were concerned about lack of access to HCMs. Physicians have difficulty balancing the the rational use of expensive drugs while at the same time acting as “patients’ advocate”. Patients would like to know about all treatment options, even if they may not be able to afford them. The process and criteria for reimbursement should be transparent and access has to be equitable across patient groups. Conclusion: Access to HCMs could be improved through transparency and involvement of all stakeholders, especially patients and the public. Moral issues and the “rule of rescue” could influence decision-making process significantly. At system level, objectivity is important to ensure that the system is equitable and transparent.
Publisher: IEEE
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: IEEE
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-03-2018
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: IEEE
Date: 06-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: IEEE
Date: 09-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: IEEE
Date: 05-2020
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 09-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: IEEE
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 09-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
Publisher: IEEE
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 05-2018
Publisher: Wiley
Date: 23-04-2012
DOI: 10.1111/J.2044-8287.2012.02071.X
Abstract: We report on the development and psychometric properties of a scale to measure perceived sensitivity to medicines (PSM). Design. The internal consistency, test-retest reliability, criterion-related, and predictive validity of the PSM Scale were evaluated using data collected as part of four previously published studies and one unpublished data set. Participants (n= 1,166) included patients receiving treatment for HIV infection and hypertension, in iduals receiving a travel vaccination, and undergraduate students. Criterion-related validity was assessed by examining associations between the PSM and beliefs about medicines (Beliefs about Medicines Questionnaire), anxiety and depression (Hospital Anxiety and Depression Scale). Predictive validity was assessed by examining associations between the PSM and medication adherence and with symptom reports following vaccination. Test-retest reliability was assessed in an undergraduate s le who completed the PSM on two occasions, 2 weeks apart. Test-retest reliability was high (r= .89, p < .001). Cronbach's alpha ranged from 0.79-0.94. Consistent with expectations, high PSM scores were associated with negative beliefs about medicines in general, strong concerns about potential adverse effects of prescribed medicines, and doubts about the necessity for treatment. High PSM scores predicted non-adherence to anti-retroviral therapy and a higher incidence of symptoms following vaccination. The findings present preliminary evidence that the PSM is a valid and reliable measure of perceived sensitivity to medication. While further work is needed to develop and evaluate the scale, the findings support its use as a research tool in studies of the use and effects of medicines. What is already known on this subject? It is now well understood that beliefs about medicines have an important influence on whether patients start and continue with treatment. Research spanning a range of long-term conditions and across different countries has shown that treatment uptake and adherence are consistently related to specific beliefs about prescribed medicines, such as how patients judge their personal need relative to concerns about potential adverse effects as well as more general beliefs about medicines as a class of treatment. What does this study add? The paper reports on the development and psychometric properties of a new scale to measure patients' perceptions of their sensitivity to medicines. In five studies involving different groups of in iduals we found the Perceived Sensitivity to Medicines (PSM) Scale to be a reliable and valid measure. The PSM may be useful for researchers and clinicians in explaining treatment decisions, adherence and reported side-effects.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: IEEE
Date: 06-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Publisher: IEEE
Date: 06-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-11-2022
DOI: 10.36227/TECHRXIV.19709767.V2
Abstract: This paper analyzes the performance of an intelligent reflecting surface (IRS)-aided short-packet communication system over Nakagami-m fading channels. In this system, the base station adopts non-orthogonal multiple access (NOMA) to transmit to a near user and a far user, and its transmission to the far user is aided by the IRS. Both continuous phase shifts (CPSs) and discrete phase shifts (DPSs) are considered for the IRS. By using order statistic and moment matching, we approximate the end-to-end channel gain to follow the Gamma distribution and then derive the approximate closed-form expressions for the average block error rate (BLER) in the high signal-to-noise ratio (SNR) regime and then conduct a refifined analysis of the interplay among the minimum common blocklength, optimal power allocation, and the related parameters of IRS (e.g., the number of elements of the IRS) for achieving target BLERs at two users. Finally, numerical and simulation results demonstrate the accuracy of theoretical analysis. They also show that the IRS-aided short-packet NOMA system outperforms the system without IRS, and that DPSs with 3-bit quantization achieve a similar performance as the optimal CPSs.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-05-2022
DOI: 10.36227/TECHRXIV.19709767.V1
Abstract: This paper analyzes the performance of an intelligent reflecting surface (IRS)-aided short-packet communication system over Nakagami-m fading channels. In this system, the base station adopts non-orthogonal multiple access (NOMA) to transmit to a near user and a far user, and its transmission to the far user is aided by the IRS. Both continuous phase shifts (CPSs) and discrete phase shifts (DPSs) are considered for the IRS. By using order statistic and moment matching, we approximate the end-to-end channel gain to follow the Gamma distribution and then derive the approximate closed-form expressions for the average block error rate (BLER) in the high signal-to-noise ratio (SNR) regime and then conduct a refifined analysis of the interplay among the minimum common blocklength, optimal power allocation, and the related parameters of IRS (e.g., the number of elements of the IRS) for achieving target BLERs at two users. Finally, numerical and simulation results demonstrate the accuracy of theoretical analysis. They also show that the IRS-aided short-packet NOMA system outperforms the system without IRS, and that DPSs with 3-bit quantization achieve a similar performance as the optimal CPSs.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Publisher: IEEE
Date: 12-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-11-2022
DOI: 10.36227/TECHRXIV.19709767
Abstract: This paper analyzes the performance of an intelligent reflecting surface (IRS)-aided short-packet communication system over Nakagami-m fading channels. In this system, the base station adopts non-orthogonal multiple access (NOMA) to transmit to a near user and a far user, and its transmission to the far user is aided by the IRS. Both continuous phase shifts (CPSs) and discrete phase shifts (DPSs) are considered for the IRS. By using order statistic and moment matching, we approximate the end-to-end channel gain to follow the Gamma distribution and then derive the approximate closed-form expressions for the average block error rate (BLER) in the high signal-to-noise ratio (SNR) regime and then conduct a refifined analysis of the interplay among the minimum common blocklength, optimal power allocation, and the related parameters of IRS (e.g., the number of elements of the IRS) for achieving target BLERs at two users. Finally, numerical and simulation results demonstrate the accuracy of theoretical analysis. They also show that the IRS-aided short-packet NOMA system outperforms the system without IRS, and that DPSs with 3-bit quantization achieve a similar performance as the optimal CPSs.
Publisher: Elsevier BV
Date: 05-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 29-07-2022
DOI: 10.36227/TECHRXIV.20372676
Abstract: We comprehensively analyze the average block error rate (BLER) performance of intelligent reflecting surface (IRS) aided short-packet communication (SPC) systems over Rician fading. Our analysis covers two communication scenarios, depending on whether or not the direct link exists between the base station and the user, addresses two types of phase errors, namely, phase estimation errors modeled by the Von Mises distribution and quantization errors, and facilitates system design based on the instantaneous channel state information (CSI) and the statistical CSI. In our analysis, we first derive the distributions of the end-to-end channel and the received signal-to-noise ratio at the user under different phase adjustment strategies. Then we propose a more accurate approximation of the $Q$ function to derive closed-form expressions for the average BLER. Using numerical and simulation results, we corroborate the accuracy of our analysis and investigate the impacts of various parameters of the system, such as the number of IRS elements and the phase adjustment strategy, and different CSI availabilities on the average BLER performance. We also show that compared to the instantaneous CSI based design, the statistical CSI based design yields the near-optimal BLER performance for a large Rician factor, making it attractive for ultra-reliable and low-latency communications, given its low implementation complexity.
Publisher: Elsevier BV
Date: 10-2014
Abstract: A socioeconomic gradient exists in Australia for type 2 diabetes mellitus (T2DM). It remains unclear whether economic hardship is associated with T2DM self-management behaviours. Cross-sectional data from a subset of the Diabetes MILES - Australia study were used (n=915). The Economic Hardship Questionnaire was used to assess hardship. Outcomes included: healthy eating and physical activity (Diabetes Self-Care Inventory - Revised), medication-taking behaviour (Medication Adherence Rating Scales) and frequency of self-monitoring of blood glucose (SMBG). Regression modelling was used to explore the respective relationships. Greater economic hardship was significantly associated with sub-optimal medication-taking (Coefficient: -0.86, 95%CI -1.54, -0.18), and decreased likelihood of regular physical activity (Odds Ratio: 0.47, 0.29, 0.77). However, after adjustments for a range of variables, these relationships did not hold. Being employed and higher depression levels were significantly associated with less-frequent SMBG, sub-optimal medication-taking and less-regular healthy eating. Engaging in physical activity was strongly associated with healthy eating. Employment, older age and depressive symptoms, not economic hardship, were commonly associated with diabetes self-management. Work-based interventions that promote T2DM self-management in younger, working populations that focus on negative emotions may be beneficial.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: IEEE
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
Publisher: Hindawi Limited
Date: 18-10-2018
DOI: 10.1155/2018/8245319
Publisher: IEEE
Date: 05-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: IEEE
Date: 05-2017
Publisher: Elsevier BV
Date: 02-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 29-07-2022
DOI: 10.36227/TECHRXIV.20372676.V1
Abstract: We comprehensively analyze the average block error rate (BLER) performance of intelligent reflecting surface (IRS) aided short-packet communication (SPC) systems over Rician fading. Our analysis covers two communication scenarios, depending on whether or not the direct link exists between the base station and the user, addresses two types of phase errors, namely, phase estimation errors modeled by the Von Mises distribution and quantization errors, and facilitates system design based on the instantaneous channel state information (CSI) and the statistical CSI. In our analysis, we first derive the distributions of the end-to-end channel and the received signal-to-noise ratio at the user under different phase adjustment strategies. Then we propose a more accurate approximation of the $Q$ function to derive closed-form expressions for the average BLER. Using numerical and simulation results, we corroborate the accuracy of our analysis and investigate the impacts of various parameters of the system, such as the number of IRS elements and the phase adjustment strategy, and different CSI availabilities on the average BLER performance. We also show that compared to the instantaneous CSI based design, the statistical CSI based design yields the near-optimal BLER performance for a large Rician factor, making it attractive for ultra-reliable and low-latency communications, given its low implementation complexity.
Publisher: IEEE
Date: 05-2010
Location: Australia
Location: No location found
Start Date: 2016
End Date: 2016
Funder: Australian National University
View Funded ActivityStart Date: 2015
End Date: 2015
Funder: Ian Potter Foundation
View Funded ActivityStart Date: 2018
End Date: 2021
Funder: Australian Research Council
View Funded ActivityStart Date: 2023
End Date: 2026
Funder: Australian Research Council
View Funded ActivityStart Date: 2020
End Date: 2020
Funder: Agrifutures Australia
View Funded ActivityStart Date: 07-2023
End Date: 06-2026
Amount: $450,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2015
End Date: 12-2017
Amount: $340,300.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2018
End Date: 12-2023
Amount: $453,270.00
Funder: Australian Research Council
View Funded Activity