Loading...
Search for:
performance-bounds
0.009 seconds
Energy harvesting systems with continuous energy and data arrivals: The optimal offline and heuristic online algorithms
, Article IEEE Journal on Selected Areas in Communications ; Volume 34, Issue 12 , 2016 , Pages 3739-3753 ; 07338716 (ISSN) ; Mirmohseni, M ; Aref, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2016
Abstract
Energy harvesting has been developed as an effective technology for communication systems in order to extend their lifetime. In this paper, we consider a single-user energy harvesting wireless communication system, in which arrival data and harvested energy curves are modeled as continuous functions. Our first goal is to find an offline algorithm, which maximizes the amount of data, which is transmitted to the receiver node by a given deadline. If more than one scheme exists that transmits the maximum data, we choose the one with minimum utilized energy at the transmitter node. We find this optimal algorithm, by showing its properties. Next, we propose an online algorithm for this system and...
Performance Bounds in Optimal Control for SISO Systems
, M.Sc. Thesis Sharif University of Technology ; Mobed, Mohammad (Supervisor)
Abstract
In this thesis, performance bounds for the optimal control of discrete-time LTI plants are proposed. Results of stable plants with relative degree but no finite nonminimum-phase zero that have been done in the literature, are reported. According to model-matching problem and Nehari’s Theorem for finding performance bound in discrete-time, an algorithm in seven steps is posed. Meanwhile by using of presented algorithm, a case of nonminimum phase stable plants and several cases of unstable plants for finding performance bound is studied. By using of Matlab, A program for performance bound in plants with no poles Nor zeros on the unit circle is presented.
Zeno effect for quantum computation and control
, Article Physical Review Letters ; Volume 108, Issue 8 , February , 2012 ; 00319007 (ISSN) ; Rezakhani, A. T ; Dominy, J. M ; Lidar, D. A ; Sharif University of Technology
Abstract
It is well known that the quantum Zeno effect can protect specific quantum states from decoherence by using projective measurements. Here we combine the theory of weak measurements with stabilizer quantum error correction and detection codes. We derive rigorous performance bounds which demonstrate that the Zeno effect can be used to protect appropriately encoded arbitrary states to arbitrary accuracy while at the same time allowing for universal quantum computation or quantum control
Optimal capacity allocation for executing mapreduce jobs in cloud systems
, Article Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014, 22 September 2014 through 25 September 2014 ; Sept , 2015 , Pages 385-392 ; 9781479984480 (ISBN) ; Rizzi, A. M ; Ardagna, D ; Ciavotta, M ; Passacantando, M ; Movaghar, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
Nowadays, analyzing large amount of data is of paramount importance for many companies. Big data and business intelligence applications are facilitated by the MapReduce programming model while, at infrastructural layer, cloud computing provides flexible and cost effective solutions for allocating on demand large clusters. Capacity allocation in such systems is a key challenge to providing performance for MapReduce jobs and minimize cloud resource cost. The contribution of this paper is twofold: (i) we formulate a linear programming model able to minimize cloud resources cost and job rejection penalties for the execution of jobs of multiple classes with (soft) deadline guarantees, (ii) we...
Invariant activity detection of a constant magnitude signal with unknown parameters in white Gaussian noise
, Article IET Communications ; Volume 3, Issue 8 , 2009 , Pages 1420-1431 ; 17518628 (ISSN) ; Tadaion, A. A ; Gazor, S ; Nayebi, M. M ; Sharif University of Technology
2009
Abstract
The authors propose invariant tests for the detection of a complex signal with unknown constant amplitude and unknown phase variation in additive white Gaussian noise (AWGN). The authors show that in this problem, the uniformly most powerful invariant (UMPI) detector does exist only if the number of samples N is two. For more than two samples N≥3, the authors derive the most powerful invariant (MPI) detector in known signal-to-noise ratio (SNR) and use its performance as the upper bound benchmark for any invariant test. In addition, the authors derive the generalised likelihood ratio (GLR) detector and evaluate its performance against the MPI performance bound. This detector is very simple...