Change search
Link to record
Permanent link

Direct link
BETA
Oechtering, Tobias J.ORCID iD iconorcid.org/0000-0002-0036-9049
Alternative names
Publications (10 of 125) Show all publications
Vu, M. T., Oechtering, T. J. & Skoglund, M. (2018). Gaussian hierarchical identification with pre-processing. In: Data Compression Conference Proceedings: . Paper presented at 2018 Data Compression Conference, DCC 2018, 27 March 2018 through 30 March 2018 (pp. 277-286). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Gaussian hierarchical identification with pre-processing
2018 (English)In: Data Compression Conference Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 277-286Conference paper, Published paper (Refereed)
Abstract [en]

In this work we consider a two-stage identification problem with pre-processing where the users' data and observation are Gaussian distributed. In the first stage the processing unit returns a list of compatible users using the information from the first storage layer and the pre-processed observation. Then, the refined search is performed in the second stage where the processing unit returns the exact user's identity and a corresponding reconstruction sequence. We provide a complete rate-distortion trade-off for the Gaussian setting.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Compression, Identification system, Compaction, Digital storage, Economic and social effects, Electric distortion, Gaussian distribution, Image coding, Signal distortion, Gaussian distributed, Gaussian setting, Hierarchical identification, Pre-processing, Processing units, Rate distortion trade-off, Storage layers, Two-stage identification, Data compression
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-238076 (URN)10.1109/DCC.2018.00036 (DOI)2-s2.0-85050965248 (Scopus ID)9781538648834 (ISBN)
Conference
2018 Data Compression Conference, DCC 2018, 27 March 2018 through 30 March 2018
Note

Conference code: 138136; Export Date: 30 October 2018; Conference Paper; CODEN: DDCCF

QC 20190114

Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved
You, Y., Li, Z. & Oechtering, T. J. (2018). Optimal Privacy-Enhancing and Cost-Efficient Energy Management Strategies for Smart Grid Consumers. In: 2018 IEEE Statistical Signal Processing Workshop, SSP 2018: . Paper presented at 20th IEEE Statistical Signal Processing Workshop, SSP 2018, 10 June 2018 through 13 June 2018 (pp. 144-148). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Optimal Privacy-Enhancing and Cost-Efficient Energy Management Strategies for Smart Grid Consumers
2018 (English)In: 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 144-148Conference paper, Published paper (Refereed)
Abstract [en]

The design of optimal energy management strategies that trade-off consumers' privacy and expected energy cost by using an energy storage is studied. The Kullback-Leibler divergence rate is used to assess the privacy risk of the unauthorized testing on consumers' behavior. We further show how this design problem can be formulated as a belief state Markov decision process problem so that standard tools of the Markov decision process framework can be utilized, and the optimal solution can be obtained by using Bellman dynamic programming. Finally, we illustrate the privacy-enhancement and cost-saving by numerical examples. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Kullback-Leibler divergence, Markov decision process, privacy-cost trade-off, Smart metering system, Consumer behavior, Costs, Decision making, Dynamic programming, Economic and social effects, Electric power transmission networks, Energy management, Markov processes, Risk assessment, Signal processing, Cost trade-off, Design problems, Energy management strategies, Expected energy, Kullback Leibler divergence, Markov Decision Processes, Optimal solutions, Smart metering systems, Smart power grids
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-236742 (URN)10.1109/SSP.2018.8450736 (DOI)2-s2.0-85053832174 (Scopus ID)9781538615706 (ISBN)
Conference
20th IEEE Statistical Signal Processing Workshop, SSP 2018, 10 June 2018 through 13 June 2018
Note

Conference code: 139091; Export Date: 22 October 2018; Conference Paper; Funding details: VR, Vetenskapsrådet; Funding details: 2015-06815, CHIST-ERA; Funding text: The work has been supported by the Swedish Research Council (VR) within the CHIST-ERA project COPES under Grant 2015-06815.. QC 20181022

Available from: 2018-10-22 Created: 2018-10-22 Last updated: 2018-10-22Bibliographically approved
Cao, P., Oechtering, T. J. & Skoglund, M. (2018). Precoding Design for Massive MIMO Systems with Sub-connected Architecture and Per-antenna Power Constraints. In: : . Paper presented at The 22nd International ITG Workshop on Smart Antennas.
Open this publication in new window or tab >>Precoding Design for Massive MIMO Systems with Sub-connected Architecture and Per-antenna Power Constraints
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides the necessary conditions to design precoding matrices for massive MIMO systems with a sub-connected architecture, RF power constraints and per-antenna power constraints. The system is configured such that each RFchain serves a group of antennas. The necessary condition to design the digital precoder is established based on a generalized water-filling and joint sum and per-antenna optimal power allocation solution, while the analog precoder is based on a per-antenna power allocation solution only. We study the analytically most interesting case where the power constraint on the RF chain is smaller than the sum of the corresponding per-antenna power constraints. For this, the optimal power is allocated based on two properties: Each RF chain uses full power and if the optimal power allocation of the unconstraint problem violates a per-antenna power constraint then it is optimal to allocate the maximal power for that antenna.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-225420 (URN)
Conference
The 22nd International ITG Workshop on Smart Antennas
Note

QCR 20180411

Available from: 2018-04-04 Created: 2018-04-04 Last updated: 2018-04-11Bibliographically approved
Avula, R. R., Oechtering, T. J. & Månsson, D. (2018). Privacy-preserving smart meter control strategy including energy storage losses. In: 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe): . Paper presented at Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE Press
Open this publication in new window or tab >>Privacy-preserving smart meter control strategy including energy storage losses
2018 (English)In: 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE Press, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Privacy-preserving smart meter control strategies proposed in the literature so far make some ideal assumptions such as instantaneous control without delay, lossless energy storage systems etc. In this paper, we present a one-step-ahead predictive control strategy using Bayesian risk to measure and control privacy leakage with an energy storage system. The controller estimates energy state using a three-circuit energy storage model to account for steady-state energy losses. With numerical experiments, the controller is evaluated with real household consumption data using a state-of-the-art adversarial algorithm. Results show that the state estimation of the energy storage system significantly affects the controller's performance. The results also show that the privacy leakage can be effectively reduced using an energy storage system but at the expense of energy loss.

Place, publisher, year, edition, pages
IEEE Press, 2018
Keywords
Smart meter privacy, Bayesian hypothesis testing, partially observable Markov decision process (PO-MDP), energy storage losses, dynamic programming
National Category
Signal Processing
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-241070 (URN)10.1109/ISGTEurope.2018.8571537 (DOI)978-1-5386-4505-5 (ISBN)978-1-5386-4506-2 (ISBN)
Conference
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Note

QC 20190109

Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-09Bibliographically approved
Avula, R. R., Oechtering, T. J. & Månsson, D. (2018). Privacy-preserving smart meter control strategy including energy storage losses. In: Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018: . Paper presented at 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018; Sarajevo; Bosnia and Herzegovina; 21 October 2018 through 25 October 2018. Institute of Electrical and Electronics Engineers (IEEE), Article ID 8571537.
Open this publication in new window or tab >>Privacy-preserving smart meter control strategy including energy storage losses
2018 (English)In: Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018, Institute of Electrical and Electronics Engineers (IEEE), 2018, article id 8571537Conference paper, Published paper (Refereed)
Abstract [en]

Privacy-preserving smart meter control strategies proposed in the literature so far make some ideal assumptions such as instantaneous control without delay, lossless energy storage systems etc. In this paper, we present a one-step-ahead predictive control strategy using Bayesian risk to measure and control privacy leakage with an energy storage system. The controller estimates energy state using a three-circuit energy storage model to account for steady-state energy losses. With numerical experiments, the controller is evaluated with real household consumption data using a state-of-the-art adversarial algorithm. Results show that the state estimation of the energy storage system significantly affects the controller's performance. The results also show that the privacy leakage can be effectively reduced using an energy storage system but at the expense of energy loss.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Series
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
Keywords
Smart meter privacy, Bayesian hypothesis testing, partially observable Markov decision process (PO-MDP), energy storage losses, dynamic programming
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-245088 (URN)000458690200049 ()2-s2.0-85060221839 (Scopus ID)978-1-5386-4505-5 (ISBN)
Conference
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018; Sarajevo; Bosnia and Herzegovina; 21 October 2018 through 25 October 2018
Note

QC 20190306

Available from: 2019-03-06 Created: 2019-03-06 Last updated: 2019-03-18Bibliographically approved
Mochaourab, R. & Oechtering, T. J. (2018). Private Filtering for Hidden Markov Models. IEEE Signal Processing Letters, 25(6), 888-892
Open this publication in new window or tab >>Private Filtering for Hidden Markov Models
2018 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 25, no 6, p. 888-892Article in journal (Refereed) Published
Abstract [en]

Consider a hidden Markov model describing a system with two types of states: a monitored state and a private state. The two types of states are dependent and evolve jointly according to a Markov process with a stationary transition probability. It is desired to reveal the monitored states to a receiver but hide the private states. For this purpose, a privacy filter is necessary which suitably perturbs the monitored states before communication with the receiver. Our objective is to design the privacy filter to optimize the tradeoff between the monitoring accuracy and privacy, measured through a time-invariant distortion measure and Shannon's equivocation, respectively. As the optimal privacy filter is difficult to compute using the dynamic programming, we adopt a suboptimal greedy approach through which the privacy filter can be computed efficiently. Here, the greedy approach has the additional advantage of not being restricted to the finite time horizon setups. Simulations show the superiority of the approach compared to a privacy filter which only adds independent noise to the observations.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Hidden Markov models, privacy, dynamic programming, greedy algorithm
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-230424 (URN)10.1109/LSP.2018.2827878 (DOI)000432451800005 ()2-s2.0-85045612606 (Scopus ID)
Note

QC 20180618

Available from: 2018-06-18 Created: 2018-06-18 Last updated: 2018-06-18Bibliographically approved
Cao, L. P., Oechtering, T. J. & Skoglund, M. (2018). Transmit Beamforming for Single-User Large-Scale MISO Systems With Sub-Connected Architecture and Power Constraints. IEEE Communications Letters, 22(10), 2096-2099
Open this publication in new window or tab >>Transmit Beamforming for Single-User Large-Scale MISO Systems With Sub-Connected Architecture and Power Constraints
2018 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 10, p. 2096-2099Article in journal (Refereed) Published
Abstract [en]

This letter considers optimal transmit beamforming for a sub-connected large-scale MISO system with RF chain and per-antenna power constraints. The system is configured such that each RF chain serves a group of antennas. For the hybrid scheme, necessary and sufficient conditions to design the optimal digital and analog precoders are provided. It is shown that, in the optimum, the optimal phase shift at each antenna has to match the channel coefficient and the phase of the digital precoder. In addition, an iterative algorithm is provided to find the optimal power allocation. We study the case where the power constraint on each RF chain is smaller than the sum of the corresponding per-antenna power constraints. Then, the optimal power is allocated based on two properties: each RF chain uses full power and if the optimal power allocation of the unconstraint problem violates a per-antenna power constraint then it is optimal to allocate the maximal power for that antenna.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Large-scale, massive MIMO, sub-connected architecture, hybrid beamforming, per-antenna power constraints
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-238138 (URN)10.1109/LCOMM.2018.2866265 (DOI)000447079300033 ()2-s2.0-85052681022 (Scopus ID)
Note

QC 20181108

Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2018-11-08Bibliographically approved
Vu, M. T., Oechtering, T. J., Skoglund, M. & Boche, H. (2018). Uncertainty in Identification Systems. In: IEEE International Symposium on Information Theory - Proceedings: . Paper presented at 2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, United States, 17 June 2018 through 22 June 2018 (pp. 2386-2390). Institute of Electrical and Electronics Engineers (IEEE), Article ID 8437760.
Open this publication in new window or tab >>Uncertainty in Identification Systems
2018 (English)In: IEEE International Symposium on Information Theory - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 2386-2390, article id 8437760Conference paper, Published paper (Refereed)
Abstract [en]

We study the high-dimensional identification systems under the presence of statistical uncertainties. The task is to design mappings for enrollment and identification purposes. The identification mapping compresses users' information then stores the index in the corresponding position in a database. The identification mapping combines the information in the database and the observation which originates randomly from an enrolled user to produce an estimate of the underlying user index. We study two scenarios. Users' data are generated from the same unknown distribution while the observation channel is also subjected to uncertainty. Each user's data are generated iid from the distribution corresponding to its own state, while the observation channel is known. We provide an achievable compression-identification trade-off for the first and second settings considering both discrete and continuous cases. In the discrete scenario, the described regions are also the correspondingly complete characterizations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Series
IEEE International Symposium on Information Theory - Proceedings, ISSN 2157-8095
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-234484 (URN)10.1109/ISIT.2018.8437760 (DOI)2-s2.0-85052442070 (Scopus ID)9781538647806 (ISBN)
Conference
2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, United States, 17 June 2018 through 22 June 2018
Note

QC 20180907

Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2018-09-07Bibliographically approved
Moles-Cases, V., Zaidi, A. A., Chen, X., Oechtering, T. J. & Baldemair, R. (2017). A Comparison of OFDM, QAM-FBMC, and OQAM-FBMC Waveforms Subject to Phase Noise. In: Gesbert, D Debbah, M Mellouk, A (Ed.), 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC): . Paper presented at IEEE International Conference on Communications (ICC), MAY 21-25, 2017, Paris, FRANCE. IEEE
Open this publication in new window or tab >>A Comparison of OFDM, QAM-FBMC, and OQAM-FBMC Waveforms Subject to Phase Noise
Show others...
2017 (English)In: 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) / [ed] Gesbert, D Debbah, M Mellouk, A, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Frequencies above 6 GHz are being considered by mobile communication industry for the deployment of future 5G networks. However in the higher carrier frequencies, especially the millimeter-wave frequencies (above 30 GHz), there can be severe degradations in the transmitted and received signals due to Phase Noise (PN) introduced by the local oscillators. In this paper, the effect of PN has been investigated for Orthogonal Frequency Division Multiplexing (OFDM), Offset QAM Filter-Bank Multi-Carrier (OQAM-FBMC) and QAM Filter-Bank Multi-Carrier (QAM-FBMC). The sources of degradation in these waveforms are quantified and closed-form expressions are derived for Signal-to-Interference Ratio (SIR). Evaluations are performed in terms of SIR and Symbol Error Rate (SER) for mm-wave frequencies using mmMAGIC PN model. The results reveal that OFDM outperforms OQAM-FBMC and QAM-FBMC and is a promising candidate for mm-wave communication.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-238171 (URN)10.1109/ICC.2017.7997301 (DOI)000446630500015 ()2-s2.0-85028337829 (Scopus ID)978-1-4673-8999-0 (ISBN)
Conference
IEEE International Conference on Communications (ICC), MAY 21-25, 2017, Paris, FRANCE
Funder
EU, Horizon 2020, 671650
Note

QC 20181106

Available from: 2018-11-06 Created: 2018-11-06 Last updated: 2018-11-06Bibliographically approved
Vu, M. T., Oechtering, T. J. & Skoglund, M. (2017). Hierarchical identification with pre-processing. In: 2017 IEEE International Symposium on Information Theory (ISIT): . Paper presented at 2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, 25 June 2017 through 30 June 2017 (pp. 2746-2750). Institute of Electrical and Electronics Engineers (IEEE), Article ID 8007029.
Open this publication in new window or tab >>Hierarchical identification with pre-processing
2017 (English)In: 2017 IEEE International Symposium on Information Theory (ISIT), Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 2746-2750, article id 8007029Conference paper, Published paper (Refereed)
Abstract [en]

We study a two-stage identification problem with pre-processing to enable efficient data retrieval and reconstruction. The first stage outputs a list of compatible users to the second stage which uses it to return the exact user identity with a corresponding reconstruction sequence. The rate distortion region is characterized. A connection to a two observer identification problem is also studied.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Series
IEEE International Symposium on Information Theory - Proceedings, ISSN 2157-8095
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-223032 (URN)10.1109/ISIT.2017.8007029 (DOI)000430345202163 ()2-s2.0-85034019095 (Scopus ID)9781509040964 (ISBN)
Conference
2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, 25 June 2017 through 30 June 2017
Funder
Swedish Research Council, 2016-03853
Note

QC 20180221

Available from: 2018-02-21 Created: 2018-02-21 Last updated: 2018-05-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0036-9049

Search in DiVA

Show all publications