1. |
- Botella Mascarell, Carmen, 1979, et al.
(author)
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EU FP7 INFSO-ICT-247223 ARTIST4G, D1.3 Innovative scheduling and cross-layer design techniques for interference avoidance
- 2011
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Reports (other academic/artistic)abstract
- This document provides an overview of the proposed innovations and activities in Task 1.2 of Work Package 1 (WP1) of the ARTIST4G project, related to interference avoidance. Focus is on the technical approaches applicable at layer 2, which are grouped into five different classes of innovations related to clustering & user grouping, inter-cell interference coordination, coordinated scheduling, scheduling for joint processing and gametheory based scheduling. Descriptions of the proposed innovations are given including basic ideas, potential of performance, simulation results, realization options and possible implementation restrictions.
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2. |
- D'Amico, Valeria, et al.
(author)
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Advanced interference management in ARTIST4G: Interference Avoidance
- 2010
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In: European Wireless Technology Conference, Paris, France, September 2010. - 9782874870187 ; , s. 21-24
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Conference paper (peer-reviewed)abstract
- This paper gives an overview of the objectives and current research activities on interference avoidance in the EC funded research project ARTIST4G. It is the main objective of the ARTIST4G Work Package 1 (WP1), to build forward on the 3GPP LTE Release 8 baseline, proposing a novel fair mobile broadband technological framework in which to design innovative, practical, scalable and cost-effective interference avoidance solutions. This paper provides an overview of the fundamental classes of innovations studied in ARTIST4G Work Package 1 (WP1) and presents some performance results obtained by means of numerical simulations and test-bed measurements run in the field.
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3. |
- D’Amico, Valeria, et al.
(author)
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EU FP7 INFSO-ICT-247223 ARTIST4G, D1.1 Definitions and architecture requirements for supporting interference avoidance techniques
- 2010
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Reports (other academic/artistic)abstract
- It is the main objective of the ARTIST4G Work Package 1 (WP1), to design innovative interference avoidance solutions by means of transmitter signal processing, scheduling and/or cross layer techniques. Such an approach will enable to identify optimal strategies also taking into account the practical implications on the real system. The major impacts of the WP1 innovations on the radio access network and on the mobile system interfaces, together with constraints due to practical implementations, will be analyzed in this deliverable. This deliverable will be a reference for the work in ARTIST4G Work Package 4 (WP4).A set of guiding questions used to precise the requirements for WP4 has been considered for each new cooperation/coordination functionality. Answers to these questions are provided in this deliverable by grouping the different classes of WP1 innovations into 4 categories with similar requirements on the radio access architecture. For each question, current, expected, minimum and maximum targets of the requirement will be given, helping to ensure that the range of all possible values for all the innovations are taken into account.
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4. |
- D’Amico, Valeria, et al.
(author)
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EU FP7 INFSO-ICT-247223 ARTIST4G, D1.2 Innovative advanced signal processing algorithms for interference avoidance
- 2010
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Reports (other academic/artistic)abstract
- This document provides an overview of the proposed innovations and activities in Task 1.1 of Work Package 1 (WP1) of the ARTIST4G project, related to interference avoidance. Focus is on the technical approaches applicable at the physical layer, which are grouped into four different classes of innovations related to single-cell multi-user MIMO schemes, multi-cell multi-user MIMOschemes, advanced 3D beamforming and enabling functionalities. Descriptions of the proposed innovations are given including basic ideas, potential of performance, simulation results, realization options and possible implementation restrictions.
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5. |
- de Lemos, Rogerio, et al.
(author)
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Software Engineering for Self-Adaptive Systems : A Second Research Roadmap
- 2013
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In: Software Engineering for Self-Adaptive Systems II. - Berlin, Heidelberg : Springer. - 9783642358128 ; , s. 1-32
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Conference paper (other academic/artistic)abstract
- The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
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7. |
- Giese, Jochen, et al.
(author)
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Combined coding and modulation design for unknown frequency-selective channels
- 2003
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In: 2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS. - NEW YORK : IEEE. ; , s. 182-182
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Conference paper (peer-reviewed)abstract
- We design complex-valued codes for transmission over frequency-selective channels that are unknown to both transmitter and receiver. The code design is optimized for joint channel estimation and data protection and outperforms standard schemes based on separate training, channel estimation and error-control.
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8. |
- Giese, Jochen, 1974-
(author)
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Constellation Design under Channel Uncertainty
- 2005
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Doctoral thesis (other academic/artistic)abstract
- The topic of this thesis is signaling design for data transmission through wireless channels between a transmitter and a receiver that can both be equipped with one or more antennas. In particular, the focus is on channels where the propagation coefficients between each transmitter--receiver antenna pair are only partially known or completetly unknown to the receiver and unknown to the transmitter. A standard signal design approach for this scenario is based on separate training for the acquisition of channel knowledge at the receiver and subsequent error-control coding for data detection over channels that are known or at least approximately known at the receiver. If the number of parameters to estimate in the acquisition phase is high as, e.g., in a frequency-selective multiple-input multiple-output channel, the required amount of training symbols can be substantial. It is therefore of interest to study signaling schemes that minimize the overhead of training or avoid a training sequence altogether. Several approaches for the design of such schemes are considered in this thesis. Two different design methods are investigated based on a signal representation in the time domain. In the first approach, the symbol alphabet is preselected, the design problem is formulated as an integer optimization problem and solutions are found using simulated annealing. The second design method is targeted towards general complex-valued signaling and applies a constrained gradient-search algorithm. Both approaches result in signaling schemes with excellent detection performance, albeit at the cost of significant complexity requirements. A third approach is based on a signal representation in the frequency domain. A low-complexity signaling scheme performing differential space--frequency modulation and detection is described, analyzed in detail and evaluated by simulation examples. The mentioned design approaches assumed that the receiver has no knowledge about the value of the channel coefficients. However, we also investigate a scenario where the receiver has access to an estimate of the channel coefficients with known error statistics. In the case of a frequency-flat fading channel, a design criterion allowing for a smooth transition between the corresponding criteria for known and unknown channel is derived and used to design signaling schemes matched to the quality of the channel estimate. In particular, a constellation design is proposed that offers a high level of flexibility to accomodate various levels of channel knowledge at the receiver.
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9. |
- Giese, Jochen, et al.
(author)
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Single- and multiple-antenna constellations for communication over unknown frequency-selective fading channels
- 2007
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In: IEEE Transactions on Information Theory. - : IEEE Information Theory Society. - 0018-9448 .- 1557-9654. ; 53:4, s. 1584-1594
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Journal article (peer-reviewed)abstract
- Data transmission through frequency-selective block fading channels is considered in the case where neither the transmitter nor the receiver has any knowledge of the channel coefficients. Standard code design approaches for this scenario take channel uncertainty at the receiver into account by splitting the available channel coherence time into a part dedicated to training symbols utilized for channel estimation and a second part using an error-control coding scheme that is designed without channel uncertainty in mind. In contrast, in this correspondence joint codes are designed that are optimized for communication over the unknown channel and operate over the full coherence time. Using an approximation of the union bound on codeword error probability as design criterion, codes based on general complex-valued symbols are obtained with a gradient search optimization technique. Numerical examples for both single antenna as well as multiple-antenna systems illustrate that significant improvement over training-based schemes can be obtained.
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10. |
- Giese, Jochen, et al.
(author)
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Space-time code design for combined channel estimation and error protection
- 2002
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In: ISIT. - NEW YORK : IEEE. - 0780375017 ; , s. 162-162
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Conference paper (peer-reviewed)abstract
- The space-time code design for combined channel estimation and error protection was discussed. An approach to combined training and coding for an unknown single-input single-output (SISO) frequency-selective fading channel was extended to several antennas and a multiple-input and multiple-output (MIMO) scenario. The analysis showed that the loss in power while transmitting at lower rates was more than compensated for by the increased performance of the code.
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