The Experts below are selected from a list of 22041 Experts worldwide ranked by ideXlab platform
Gilles Burel - One of the best experts on this subject based on the ideXlab platform.
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blind recognition of linear space time block codes a likelihood based approach
IEEE Transactions on Signal Processing, 2010Co-Authors: Vincent Choqueuse, Mélanie Marazin, Koffi Clément Yao, Ludovic Collin, Gilles BurelAbstract:Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies about carrier frequency estimation, modulation recognition as well as channel identification are available in literature. This paper deals with the blind recognition of the space-time block coding (STBC) scheme used in multiple-input-multiple-output (MIMO) communication systems. Assuming there is perfect synchronization at the Receiver Side, this paper proposes three maximum-likelihood (ML)-based approaches for STBC classification: the optimal classifier, the second-order statistic (SOS) classifier, and the code parameter (CP) classifier. While the optimal and the SOS approaches require ideal conditions, the CP classifier is well suited for the blind context where the communication parameters are unknown at the Receiver Side. Our simulations show that this blind classifier is more easily implemented and yields better performance than those available in literature.
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Blind Recognition of Linear Space–Time Block Codes: A Likelihood-Based Approach
IEEE Transactions on Signal Processing, 2010Co-Authors: Vincent Choqueuse, Mélanie Marazin, Koffi Clément Yao, Ludovic Collin, Gilles BurelAbstract:Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies about carrier frequency estimation, modulation recognition as well as channel identification are available in literature. This paper deals with the blind recognition of the space–time block coding (STBC) scheme used in multiple input–multiple-output (MIMO) communication systems. Assuming there is perfect synchronization at the Receiver Side, this paper proposes three maximum-likelihood (ML)-based approaches for STBC classification: the optimal classifier, the second-order statistic (SOS) classifier, and the code parameter (CP) classifier. While the optimal and the SOS approaches require ideal conditions, the CP classifier is well suited for the blind context where the communication parameters are unknown at the Receiver Side. Our simulations show that this blind classifier is more easily implemented and yields better performance than those available in literature.
Ali Jamshidi - One of the best experts on this subject based on the ideXlab platform.
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performance analysis of transmitter Side cooperation Receiver Side relaying schemes for heterogeneous sensor networks
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Ali Jamshidi, Masoumeh NasirikenariAbstract:In this paper, we present two physical layer cooperative protocols for heterogeneous sensor networks. There is one cooperator near the transmitter and a second cooperator (as a relay) near the Receiver. Although the focus is on heterogeneous sensor networks, the methods can be applied to homogeneous sensor networks as well. Analytical and simulation results show that, under an additive white Gaussian noise channel assumption for the links between the transmitter and its partner and between the Receiver and its partner, the proposed protocols achieve a diversity order of three or four by using the amplify-and-forward cooperation strategy and maximal ratio combining in the Receiver. In addition, the proposed methods outperform the noncooperative single-hop transmission in the clustered heterogeneous sensor network and save a conSiderable amount of energy relative to the noncooperative transmission.
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Performance Analysis of Transmitter-Side Cooperation–Receiver-Side-Relaying Schemes for Heterogeneous Sensor Networks
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Ali Jamshidi, Masoumeh Nasiri-kenariAbstract:In this paper, we present two physical layer cooperative protocols for heterogeneous sensor networks. There is one cooperator near the transmitter and a second cooperator (as a relay) near the Receiver. Although the focus is on heterogeneous sensor networks, the methods can be applied to homogeneous sensor networks as well. Analytical and simulation results show that, under an additive white Gaussian noise channel assumption for the links between the transmitter and its partner and between the Receiver and its partner, the proposed protocols achieve a diversity order of three or four by using the amplify-and-forward cooperation strategy and maximal ratio combining in the Receiver. In addition, the proposed methods outperform the noncooperative single-hop transmission in the clustered heterogeneous sensor network and save a conSiderable amount of energy relative to the noncooperative transmission.
Peter A Andrekson - One of the best experts on this subject based on the ideXlab platform.
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approaching nyquist limit in wdm systems by low complexity Receiver Side duobinary shaping
Journal of Lightwave Technology, 2012Co-Authors: Ekawit Tipsuwannakul, Magnus Karlsson, Tobias A Eriksson, Peter A AndreksonAbstract:A novel low-complexity coherent Receiver solution is presented to improve spectral efficiency in wavelength-division multiplexing (WDM) systems. It is based on the Receiver-Side partial-response equalization and maximum-likelihood sequence detection (MLSD) in prefiltered WDM systems. The partial-response equalization shapes the channel into an intermediate state with a known partial response which is finally recovered by MLSD without the need of channel estimation. In this scheme, the severe intersymbol interference induced by the prefiltering can be shared between the partial-response equalization and MLSD. Therefore, a tradeoff can be made between complexity and performance. The feasibility of Receiver-Side partial-response shaping relaxes the efforts and requirements on the transmitter-Side prefiltering, which permits the mature WDM components to implement prefiltering. In addition, the partial-response equalization or shaping structure is also improved based on our prior art, which further simplifies the overall scheme. For near-baudrate-spacing optically prefiltered WDM systems, duobinary response is experimentally proved as a good intermediate response to shape. Due to the short memory of the duobinary response, the complexity of the Receiver based on duobinary shaping has been reduced to a low level. As a whole, the proposed scheme provides a good alternative to Nyquist-WDM at comparable spectral efficiencies. With the proposed Receiver-Side duobinary shaping technique, three sets of experiments have been carried out to verify the improved duobinary shaping scheme and meanwhile demonstrate the main features, including 5 ×112-Gb/s polarization-multiplexed quadrature phase-shift keying (PM-QPSK) WDM transmission over a 25-GHz grid, single-channel 40-Gbaud PM-QPSK experiment, and 30-GHz-spaced 3 × 224-Gb/s PM 16-ary quadrature amplitude modulation transmission.
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building up low complexity spectrally efficient terabit superchannels by Receiver Side duobinary shaping
Optics Express, 2012Co-Authors: Martin Sjodin, Magnus Karlsson, Peter A AndreksonAbstract:Recently, an increasing interest has been put on spectrally-efficient multi-carrier superchannels for beyond 100G. Apart from orthogonal frequency-division multiplexing (OFDM) and Nyquist wavelength-division multiplexing (WDM), another low-complexity WDM approach based on transmitter-Side pre-filtering and Receiver-Side duobinary shaping is proposed to build up multi-carrier superchannels. This approach is referred to as Receiver-Side duobinary-shaped WDM (RS-DBS-WDM). Generation and transmission of a 1.232-Tbit/s 11-carrier superchannel is experimentally demonstrated. The superchannel signal can be well fit inSide the passband of multiple 300-GHz reconfigurable optical add and drop multiplexers (ROADMs). In the superchannel scenario, the proposed RS-DBS-WDM is qualitatively compared with OFDM and Nyquist-WDM in terms of implementation complexity. In sum, the proposed RS-DBS-WDM approach features high transceiver analog-bandwidth efficiency, high spectral-efficiency, the absence of specific spectral manipulation, compatibility with conventional WDM technologies and coherent detection algorithms, and comparable implementation penalty.
Sennur Ulukus - One of the best experts on this subject based on the ideXlab platform.
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mimo wiretap channel under Receiver Side power constraints with applications to wireless power transfer and cognitive radio
IEEE Transactions on Communications, 2016Co-Authors: Karim Banawan, Sennur UlukusAbstract:We conSider the multiple-input multiple-output (MIMO) wiretap channel under a minimum Receiver-Side power constraint in addition to the usual maximum transmitter-Side power constraint. This problem is motivated by energy harvesting communications with wireless energy transfer, where an added goal is to deliver a minimum amount of energy to a Receiver in addition to delivering secure data to another Receiver. In this paper, we characterize the exact secrecy capacity of the MIMO wiretap channel under transmitter and Receiver-Side power constraints. We first show that solving this problem is equivalent to solving the secrecy capacity of the wiretap channel under a double-Sided correlation matrix constraint on the channel input. We show the converse by extending the channel enhancement technique to our case. We present two achievable schemes that achieve the secrecy capacity: the first achievable scheme uses a Gaussian codebook with a fixed mean, and the second achievable scheme uses artificial noise (or cooperative jamming) together with a Gaussian codebook. The role of the mean or the artificial noise is to enable energy transfer without sacrificing from the secure rate. This is the first instance of a channel model where either the use of a mean signal or the use of channel prefixing via artificial noise is strictly necessary for the MIMO wiretap channel. We then extend our work to conSider a maximum Receiver-Side power constraint instead of a minimum Receiver-Side power constraint. This problem is motivated by cognitive radio applications, where an added goal is to decrease the received signal energy (interference temperature) at a Receiver. We further extend our results to: requiring Receiver-Side power constraints at both Receivers; conSidering secrecy constraints at both Receivers to study broadcast channels with confidential messages; and removing the secrecy constraints to study the classical broadcast channel.
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gaussian mimo wiretap channel under Receiver Side power constraints
Allerton Conference on Communication Control and Computing, 2014Co-Authors: Karim Banawan, Sennur UlukusAbstract:We conSider the multiple-input multiple-output (MIMO) wiretap channel under a minimum Receiver-Side power constraint in addition to the usual maximum transmitter-Side power constraint. This problem is motivated by energy harvesting communications with wireless energy transfer, where an added goal is to deliver a minimum amount of energy to a Receiver in addition to delivering secure data to another Receiver. In this paper, we characterize the exact secrecy capacity of the MIMO wiretap channel under transmitter and Receiver-Side power constraints. We first show that solving this problem is equivalent to solving the secrecy capacity of a wiretap channel with a double-Sided correlation matrix constraint on the channel input. We show the converse by extending the channel enhancement technique to our case. We present two achievable schemes that achieve the secrecy capacity: the first achievable scheme uses a Gaussian codebook with a fixed mean, and the second achievable scheme uses artificial noise (or cooperative jamming) together with a Gaussian codebook. The role of the mean or the artificial noise is to enable energy transfer without sacrificing from the secure rate. This is the first instance of a channel model where either the use of a mean signal or use of channel prefixing via artificial noise is strictly necessary in the MIMO wiretap channel.
Vincent Choqueuse - One of the best experts on this subject based on the ideXlab platform.
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blind recognition of linear space time block codes a likelihood based approach
IEEE Transactions on Signal Processing, 2010Co-Authors: Vincent Choqueuse, Mélanie Marazin, Koffi Clément Yao, Ludovic Collin, Gilles BurelAbstract:Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies about carrier frequency estimation, modulation recognition as well as channel identification are available in literature. This paper deals with the blind recognition of the space-time block coding (STBC) scheme used in multiple-input-multiple-output (MIMO) communication systems. Assuming there is perfect synchronization at the Receiver Side, this paper proposes three maximum-likelihood (ML)-based approaches for STBC classification: the optimal classifier, the second-order statistic (SOS) classifier, and the code parameter (CP) classifier. While the optimal and the SOS approaches require ideal conditions, the CP classifier is well suited for the blind context where the communication parameters are unknown at the Receiver Side. Our simulations show that this blind classifier is more easily implemented and yields better performance than those available in literature.
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Blind Recognition of Linear Space–Time Block Codes: A Likelihood-Based Approach
IEEE Transactions on Signal Processing, 2010Co-Authors: Vincent Choqueuse, Mélanie Marazin, Koffi Clément Yao, Ludovic Collin, Gilles BurelAbstract:Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies about carrier frequency estimation, modulation recognition as well as channel identification are available in literature. This paper deals with the blind recognition of the space–time block coding (STBC) scheme used in multiple input–multiple-output (MIMO) communication systems. Assuming there is perfect synchronization at the Receiver Side, this paper proposes three maximum-likelihood (ML)-based approaches for STBC classification: the optimal classifier, the second-order statistic (SOS) classifier, and the code parameter (CP) classifier. While the optimal and the SOS approaches require ideal conditions, the CP classifier is well suited for the blind context where the communication parameters are unknown at the Receiver Side. Our simulations show that this blind classifier is more easily implemented and yields better performance than those available in literature.
