The Experts below are selected from a list of 5847 Experts worldwide ranked by ideXlab platform
Vincent H. Poor - One of the best experts on this subject based on the ideXlab platform.
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relay aided space time beamforming for interference networks with partial Channel Knowledge
IEEE Transactions on Signal Processing, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multiantenna relay-aided interference management technique that requires limited Channel Knowledge for interference relay Channels, which is referred to as relay-aided space-time beamforming (r-STBF) . Using the proposed method, it is shown that $\frac{KM}{K+M-1}$ multiplexing gain is achievable in a $K$ -user multiple-input single-output (MISO) interference relay Channel when the relay has $M$ antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free multiplexing gain of $K$ is asymptotically achievable as $M$ approaches infinity. Furthermore, the proposed r-STBF method is shown to achieve the optimal multiplexing gain of $\frac{KL}{K+L-1}$ for a $K\times L$ single-input single-output (SISO) $X$ Channel with an $M$ -antenna relay. One major implication of these results is that the use of a relay is beneficial in obtaining the optimal multiplexing gains for relay-aided interference networks even with limited Channel Knowledge, which bridges the theory-practice gap by implementing advanced interference management methods with less overhead for practical wireless systems.
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Guiding blind transmitters for K-user MISO interference relay Channels with Imperfect Channel Knowledge
2016 IEEE International Symposium on Information Theory (ISIT), 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multi-antenna relay-aided interference management technique that can use imperfect Channel Knowledge for interference relay Channels. Using the proposed method, it is shown that KM/K+M-1 degrees of freedom (DoF) are achievable in a K-user multiple-input-single-output interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free DoF of K are asymptotically achieved as M approaches infinity. One major implication of these results is that even under this limited Channel Knowledge, the use of massive antennas at the relay is sufficient to recover the optimal DoF for relay-aided interference networks with perfect Channel Knowledge.
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guiding blind transmitters for k user miso interference relay Channels with imperfect Channel Knowledge
International Symposium on Information Theory, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multi-antenna relay-aided interference management technique that can use imperfect Channel Knowledge for interference relay Channels. Using the proposed method, it is shown that KM over K+M−1 degrees of freedom (DoF) are achievable in a K-user multiple-input-single-output interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free DoF of K are asymptotically achieved as M approaches infinity. One major implication of these results is that even under this limited Channel Knowledge, the use of massive antennas at the relay is sufficient to recover the optimal DoF for relay-aided interference networks with perfect Channel Knowledge.
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Relay-Aided Space-Time Beamforming for Interference Networks With Partial Channel Knowledge
IEEE Transactions on Signal Processing, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multiantenna relay-aided interference management technique that requires limited Channel Knowledge for interference relay Channels, which is referred to as relay-aided space-time beamforming (r-STBF). Using the proposed method, it is shown that KM/K+M- multiplexing gain is achievable in a K-user multiple-input single-output (MISO) interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free multiplexing gain of K is asymptotically achievable as M approaches infinity. Furthermore, the proposed r-STBF method is shown to achieve the optimal multiplexing gain of KL/K+L-1 for a K × L single-input single-output (SISO) X Channel with an M-antenna relay. One major implication of these results is that the use of a relay is beneficial in obtaining the optimal multiplexing gains for relay-aided interference networks even with limited Channel Knowledge, which bridges the theorypractice gap by implementing advanced interference management methods with less overhead for practical wireless systems.
Wonjae Shin - One of the best experts on this subject based on the ideXlab platform.
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relay aided space time beamforming for interference networks with partial Channel Knowledge
IEEE Transactions on Signal Processing, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multiantenna relay-aided interference management technique that requires limited Channel Knowledge for interference relay Channels, which is referred to as relay-aided space-time beamforming (r-STBF) . Using the proposed method, it is shown that $\frac{KM}{K+M-1}$ multiplexing gain is achievable in a $K$ -user multiple-input single-output (MISO) interference relay Channel when the relay has $M$ antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free multiplexing gain of $K$ is asymptotically achievable as $M$ approaches infinity. Furthermore, the proposed r-STBF method is shown to achieve the optimal multiplexing gain of $\frac{KL}{K+L-1}$ for a $K\times L$ single-input single-output (SISO) $X$ Channel with an $M$ -antenna relay. One major implication of these results is that the use of a relay is beneficial in obtaining the optimal multiplexing gains for relay-aided interference networks even with limited Channel Knowledge, which bridges the theory-practice gap by implementing advanced interference management methods with less overhead for practical wireless systems.
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Guiding blind transmitters for K-user MISO interference relay Channels with Imperfect Channel Knowledge
2016 IEEE International Symposium on Information Theory (ISIT), 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multi-antenna relay-aided interference management technique that can use imperfect Channel Knowledge for interference relay Channels. Using the proposed method, it is shown that KM/K+M-1 degrees of freedom (DoF) are achievable in a K-user multiple-input-single-output interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free DoF of K are asymptotically achieved as M approaches infinity. One major implication of these results is that even under this limited Channel Knowledge, the use of massive antennas at the relay is sufficient to recover the optimal DoF for relay-aided interference networks with perfect Channel Knowledge.
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guiding blind transmitters for k user miso interference relay Channels with imperfect Channel Knowledge
International Symposium on Information Theory, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multi-antenna relay-aided interference management technique that can use imperfect Channel Knowledge for interference relay Channels. Using the proposed method, it is shown that KM over K+M−1 degrees of freedom (DoF) are achievable in a K-user multiple-input-single-output interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free DoF of K are asymptotically achieved as M approaches infinity. One major implication of these results is that even under this limited Channel Knowledge, the use of massive antennas at the relay is sufficient to recover the optimal DoF for relay-aided interference networks with perfect Channel Knowledge.
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ISIT - Guiding blind transmitters for K-user MISO interference relay Channels with Imperfect Channel Knowledge
2016 IEEE International Symposium on Information Theory (ISIT), 2016Co-Authors: Wonjae Shin, H. Vincent PoorAbstract:This paper proposes a novel multi-antenna relay-aided interference management technique that can use imperfect Channel Knowledge for interference relay Channels. Using the proposed method, it is shown that KM over K+M−1 degrees of freedom (DoF) are achievable in a K-user multiple-input-single-output interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free DoF of K are asymptotically achieved as M approaches infinity. One major implication of these results is that even under this limited Channel Knowledge, the use of massive antennas at the relay is sufficient to recover the optimal DoF for relay-aided interference networks with perfect Channel Knowledge.
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Relay-Aided Space-Time Beamforming for Interference Networks With Partial Channel Knowledge
IEEE Transactions on Signal Processing, 2016Co-Authors: Wonjae Shin, Vincent H. PoorAbstract:This paper proposes a novel multiantenna relay-aided interference management technique that requires limited Channel Knowledge for interference relay Channels, which is referred to as relay-aided space-time beamforming (r-STBF). Using the proposed method, it is shown that KM/K+M- multiplexing gain is achievable in a K-user multiple-input single-output (MISO) interference relay Channel when the relay has M antennas with a certain type of limited Channel Knowledge. By leveraging this result, it is demonstrated that the interference-free multiplexing gain of K is asymptotically achievable as M approaches infinity. Furthermore, the proposed r-STBF method is shown to achieve the optimal multiplexing gain of KL/K+L-1 for a K × L single-input single-output (SISO) X Channel with an M-antenna relay. One major implication of these results is that the use of a relay is beneficial in obtaining the optimal multiplexing gains for relay-aided interference networks even with limited Channel Knowledge, which bridges the theorypractice gap by implementing advanced interference management methods with less overhead for practical wireless systems.
Harald Haas - One of the best experts on this subject based on the ideXlab platform.
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VTC Spring - Transmit Precoding for Receive Spatial Modulation Using Imperfect Channel Knowledge
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012Co-Authors: Athanasios Stavridis, Marco Di Renzo, Sinan Sinanovic, Harald HaasAbstract:In this paper, motivated by the relatively new concept of Spatial Modulation (SM), we are addressing the problem of Receive-Spatial Modulation (R-SM) under two cases of imperfect Channel Knowledge at the transmitter side. In the first case, we adopt a statistical model for the Channel uncertainties, whereas in the second one a worst-case approach is followed and the Channel uncertainties are expressed as a bounded set. Based on Zero-Forcing (ZF) precoding and using standard tools from optimization theory, we derive closed form solutions that turn out to be robust. Simulation results show that the proposed schemes have a performance close to the perfect Channel Knowledge scenario in low and mid-low SNRs. Furthermore, these designs can be applied to wide range of Channels with different correlation states combined with a transmit power gain.
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Transmit precoding for receive spatial modulation using imperfect Channel Knowledge
IEEE Vehicular Technology Conference, 2012Co-Authors: Athanasios Stavridis, Marco Di Renzo, Sinan Sinanovic, Harald HaasAbstract:Abstract�In this paper, motivated by the relatively new concept of Spatial Modulation (SM), we are addressing the problem of Receive-Spatial Modulation (R-SM) under two cases of imperfect Channel Knowledge at the transmitter side. In the first case, we adopt a statistical model for the Channel uncertainties, whereas in the second one a worst-case approach is followed and the Channel uncertainties are expressed as a bounded set. Based on Zero-Forcing (ZF) precoding and using standard tools from optimization theory, we derive closed form solutions that turn out to be robust. Simulation results show that the proposed schemes have a performance close to the perfect Channel Knowledge scenario in low and mid-low SNRs. Furthermore, these designs can be applied to wide range of Channels with different correlation states combined with a transmit power gain.
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GLOBECOM - On the Performance of Space Shift Keying (SSK) Modulation with Imperfect Channel Knowledge
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011Co-Authors: Marco Di Renzo, Dario De Leonardis, Fabio Graziosi, Harald HaasAbstract:In this paper, we study the sensitivity and robustness of Space Shift Keying (SSK) modulation to imperfect Channel Knowledge at the receiver. Unlike the common widespread belief, we show that SSK modulation is more robust to imperfect Channel Knowledge than other state-of-the-art transmission technologies, and only few training pilots are needed to get reliable enough Channel estimates for data detection. More precisely, we focus our attention on the so-called Time-Orthogonal-Signal-Design (TOSD-) SSK modulation scheme, which is an improved version of SSK modulation offering transmit-diversity gains, and provide the following contributions: i) we develop a closed-form analytical framework to compute the Average Bit Error Probability (ABEP) of a mismatched detector for TOSD-SSK modulation, which can be used for arbitrary transmit-antenna, receive-antenna, Channel fading, and training pilots; ii) we perform a comparative study of the performance of TOSD-SSK modulation and the Alamouti code under the same imperfect Channel Knowledge, and show that TOSD-SSK modulation is more robust to Channel estimation errors; iii) we point out that only few pilot pulses are required to get performance very close to the perfect Channel Knowledge lower-bound; and iv) we verify that transmit- and receive-diversity gains of TOSD-SSK modulation are preserved even for a mismatched receiver.
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On the performance of Space Shift Keying (SSK) modulation with imperfect Channel Knowledge
GLOBECOM - IEEE Global Telecommunications Conference, 2011Co-Authors: Marco Di Renzo, Dario De Leonardis, Fabio Graziosi, Harald HaasAbstract:In this paper, we study the sensitivity and robustness of Space Shift Keying (SSK) modulation to imperfect Channel Knowledge at the receiver. Unlike the common widespread belief, we show that SSK modulation is more robust to imperfect Channel Knowledge than other state-of-the-art transmission technologies, and only few training pilots are needed to get reliable enough Channel estimates for data detection. More precisely, we focus our attention on the so-called Time-Orthogonal-Signal-Design (TOSD-) SSK modulation scheme, which is an improved version of SSK modulation offering transmit-diversity gains, and provide the following contributions: i) we develop a closed-form analytical framework to compute the Average Bit Error Probability (ABEP) of a mismatched detector for TOSD-SSK modulation, which can be used for arbitrary transmit-antenna, receive-antenna, Channel fading, and training pilots; ii) we perform a comparative study of the performance of TOSD-SSK modulation and the Alamouti code under the same imperfect Channel Knowledge, and show that TOSD-SSK modulation is more robust to Channel estimation errors; iii) we point out that only few pilot pulses are required to get performance very close to the perfect Channel Knowledge lower-bound; and iv) we verify that transmit- and receive-diversity gains of TOSD-SSK modulation are preserved even for a mismatched receiver.
Gerhard P. Fettweis - One of the best experts on this subject based on the ideXlab platform.
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Uplink CoMP under a constrained backhaul and imperfect Channel Knowledge
IEEE Transactions on Wireless Communications, 2011Co-Authors: Patrick Marsch, Gerhard P. FettweisAbstract:Coordinated Multi-Point (CoMP) is known to be a key technology for next generation mobile communications systems, as it allows to overcome the burden of inter-cell interference. Especially in the uplink, it is likely that interference exploitation schemes will be used in the near future, as they can be used with legacy terminals and be based on operator-proprietary signal processing concepts, hence requiring no or little changes in standardization. Major drawbacks, however, are the extent of additional backhaul infrastructure needed, and the sensitivity to imperfect Channel Knowledge. This paper jointly addresses both issues in a new framework incorporating a multitude of proposed theoretical uplink CoMP concepts, which are then put into perspective with practical CoMP algorithms. This comprehensive analysis provides new insight into the potential value of different uplink CoMP concepts in next generation wireless communications systems, and reveals the subset of schemes that are most likely to be used in practice.
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uplink comp under a constrained backhaul and imperfect Channel Knowledge
arXiv: Information Theory, 2010Co-Authors: Patrick Marsch, Gerhard P. FettweisAbstract:Coordinated Multi-Point (CoMP) is known to be a key technology for next generation mobile communications systems, as it allows to overcome the burden of inter-cell interference. Especially in the uplink, it is likely that interference exploitation schemes will be used in the near future, as they can be used with legacy terminals and require no or little changes in standardization. Major drawbacks, however, are the extent of additional backhaul infrastructure needed, and the sensitivity to imperfect Channel Knowledge. This paper jointly addresses both issues in a new framework incorporating a multitude of proposed theoretical uplink CoMP concepts, which are then put into perspective with practical CoMP algorithms. This comprehensive analysis provides new insight into the potential usage of uplink CoMP in next generation wireless communications systems.
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GLOBECOM - On Downlink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009Co-Authors: Patrick Marsch, Gerhard P. FettweisAbstract:Next generation mobile communications systems will most likely employ network MIMO in order to mitigate inter-cell interference and improve system fairness and spectral efficiency. Critical issues of such schemes are, however, the large extent of backhaul infrastructure required for the information exchange between cooperating base stations, and the availability of Channel Knowledge at transmitter and receiver. In this paper, we consider a cooperative downlink transmission under a constrained backhaul, limited Channel Knowledge at base station and terminal side, and a per-antenna power constraint. We derive inner capacity bounds for different cooperation schemes through uplink/downlink duality and provide numerical results showing the superiority of certain cooperation schemes in terms of rate/backhaul tradeoff for different interference scenarios.
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on uplink network mimo under a constrained backhaul and imperfect Channel Knowledge
International Conference on Communications, 2009Co-Authors: Patrick Marsch, Gerhard P. FettweisAbstract:It is known that next generation mobile communications systems will most likely employ multi-cell signal processing - often referred to as network MIMO - in order to improve spectral efficiency and fairness. Many publications exist that predict strong achievable rate improvements, but usually neglecting various practical issues connected to network MIMO. In this paper, we analyse the impact of a constrained backhaul infrastructure and imperfect Channel Knowledge on uplink network MIMO from an information theoretical point of view. Especially the latter aspect leads to the fact that the Channel conditions for which network MIMO is reasonably beneficial are strongly constrained. We observe different base station cooperation schemes in scenarios of maximal 3 base stations and 3 terminals, provide simulation results, and discuss the practicability of the discussed schemes and the implications of our results.
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ICC - On Uplink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge
2009 IEEE International Conference on Communications, 2009Co-Authors: Patrick Marsch, Gerhard P. FettweisAbstract:It is known that next generation mobile communications systems will most likely employ multi-cell signal processing - often referred to as network MIMO - in order to improve spectral efficiency and fairness. Many publications exist that predict strong achievable rate improvements, but usually neglecting various practical issues connected to network MIMO. In this paper, we analyse the impact of a constrained backhaul infrastructure and imperfect Channel Knowledge on uplink network MIMO from an information theoretical point of view. Especially the latter aspect leads to the fact that the Channel conditions for which network MIMO is reasonably beneficial are strongly constrained. We observe different base station cooperation schemes in scenarios of maximal 3 base stations and 3 terminals, provide simulation results, and discuss the practicability of the discussed schemes and the implications of our results.
Amir Averbuch - One of the best experts on this subject based on the ideXlab platform.
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Performance of MIMO Schemes with Partial Channel Knowledge
2020Co-Authors: Shimi Shilo, Anthony J. Weiss, Amir AverbuchAbstract:Multiple antenna techniques are used to enhance wireless links and therefore have been studied extensively. Many practical systems differ from the ideal schemes discussed in the literature. One example is the lack of precise Channel information at the transmitter. We evaluate analytically the performance of several multiple input multiple output (MIMO) techniques that use partial Channel Knowledge. Specifically, we analyze schemes which are used in Worldwide Inter-operability for Microwave Access (WiMAX) and are also supported by Long Term Evolution (LTE) systems. All the results are supported by simulations.
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Beamforming with Partial Channel Knowledge
2011 4th IFIP International Conference on New Technologies Mobility and Security, 2011Co-Authors: Shimi Shilo, Anthony J. Weiss, Amir AverbuchAbstract:Multiple antenna techniques are used to enhance wireless links and therefore have been studied extensively. Many practical systems differ from ideal schemes which have been discussed in the literature. One example is a system that lacks precise Channel information at the transmitter. We evaluate analytically the performance of a multiple input multiple output (MIMO) technique that uses partial Channel Knowledge. Specifically, we analyze a suboptimal M × N scheme employing Eigenbeamforming at the transmitter and MRC at the receiver, assuming only partial Channel matrix is known to the transmitter, specifically only P out of N rows of the Channel matrix are known. We show that the diversity order of such a scheme is MP+N-P and further show that increasing the value of P by one increases the diversity order by M-1. We also derive the array gain for this scheme. All the results are supported by simulations.
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Performance of Optimal Beamforming with Partial Channel Knowledge
IEEE Transactions on Wireless Communications, 2011Co-Authors: Shimi Shilo, Anthony J. Weiss, Amir AverbuchAbstract:Multiple antenna techniques are used to enhance wireless links and therefore have been studied extensively. Many practical systems that differ from ideal schemes have been discussed in the literature. One example is a system that lacks precise Channel information at the transmitter. We evaluate analytically the performance of a multiple input multiple output (MIMO) technique that uses partial Channel Knowledge. Specifically, we analyze a scheme with M transmit antennas and N receive antennas, employing eigenbeamforming at the transmitter and MRC at the receiver. We assume that only partial Channel matrix is known to the transmitter, specifically only P out of N rows of the Channel matrix are known. We derive the optimal beamformer for a single stream transmission case and show that it is the singular vector of the known Channel submatrix. We show that the diversity order of a transmission scheme where such a precoder is used is MP+N-P and further show that increasing the value of P by one increases the diversity order by M-1. We also derive the array gain for this scheme. All the results are supported by simulations.
