Search results for: M. Trivellato

Items from 1 to 13 out of 13 results

article

State control in networked control systems under packet drops and limited transmission bandwidth

M. Trivellato, N. Benvenuto

IEEE Transactions on Communications > 2010 > 58 > 2 > 611 - 622

The widespread proliferation of wireless sensor networks is revolutionizing our capabilities of monitoring and controlling the environment. The wireless connection of spatially distributed sensors, controllers and actuators poses challenges to the control system, due to packet drops, delays and measurements quantization, as well as to the wireless network resource allocator. These challenges push...

chapter

Cross-Layer Design of Networked Control Systems

M. Trivellato, N. Benvenuto

2009 IEEE International Conference on Communications > 1 - 5

ICC 2009 - 2009 IEEE International Conference on Communications

The wireless connection of spatially separated sensors, controllers and actuators poses challenging problems to the control system, due to packet drops, delays and measurements quantization, as well as to the wireless network resource allocator. This pushes for a cross-layer design of communication and estimation/control systems. Assuming a TCP-like protocol between controller and actuator, we solve...

article

Increasing downlink cellular throughput with limited network MIMO coordination

H. Huang, M. Trivellato, A. Hottinen, M. Shafi, more

IEEE Transactions on Wireless Communications > 2009 > 8 > 6 > 2983 - 2989

Single-user, multiuser, and network MIMO performance is evaluated for downlink cellular networks with 12 antennas per site, sectorization, universal frequency reuse, scheduled packet-data, and a dense population of stationary users. Compared to a single-user MIMO baseline system with 3 sectors per site, network MIMO coordination is found to increase throughput by a factor of 1.8 with intra-site coordination...

article

On channel quantization and feedback strategies for multiuser MIMO-OFDM downlink systems

M. Trivellato, S. Tomasin, N. Benvenuto

IEEE Transactions on Communications > 2009 > 57 > 9 > 2645 - 2654

We consider a multiuser MIMO-OFDM downlink system with single antenna mobile terminals (MTs) where channel state information at the base station is provided through limited uplink feedback (FB). In order to reduce the FB rate and signal processing complexity, the available bandwidth is divided into resource blocks (RBs) whose number of subcarriers reflects the coherence bandwidth of the channel. This...

chapter

On estimation in networked control systems with random delays and partial observation losses

M. Trivellato, N. Benvenuto

2008 International Symposium on Information Theory and Its Applications > 1 - 6

2008 International Symposium on Information Theory and its Applications (ISITA 2008)

The paper considers state estimation in networked control systems (NCS) where observations from multiple sensors are subject to random delays and packet losses. We derive the minimum error covariance estimator and the optimum estimator with constant gains as a low-complexity solution. Generalizations to account for the effects of measurements quantization and limited transmission bandwidth are investigated...

chapter

Channel Quantization and Feedback Optimization in Multiuser MIMO-OFDM Downlink Systems

M. Trivellato, S. Tomasin, N. Benvenuto

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference > 1 - 5

2008 IEEE Global Telecommunications Conference

chapter

Zero-forcing vs unitary beamforming in multiuser MIMO systems with limited feedback

M. Trivellato, F. Boccardi, H. Huang

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications > 1 - 6

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

We consider a multiuser MIMO downlink system with multiple antenna mobile terminals where channel state information at the base station is provided through limited uplink feedback. In a multi-cell environment we compare two transceiver architectures based on zero forcing and unitary beamforming respectively. For both schemes we show how the additional degrees of freedom provided by multiple receive...

chapter

Performance of multiuser MIMO and network coordination in downlink cellular networks

H. Huang, M. Trivellato

2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops > 85 - 90

2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops (WiOPT)

We consider a wireless network with multiple cells where base stations with multiple antennas transmit to multiple users, each with multiple antennas. Using single-user (SU) MIMO as a baseline, we evaluate the system throughput performance of multiuser (MU) MIMO with generalized zero-forcing beamforming under a multiuser proportional fair scheduling metric. We consider network MIMO extensions of this...

article

On transceiver design and channel quantization for downlink multiuser MIMO systems with limited feedback

M. Trivellato, F. Boccardi, H. Huang

IEEE Journal on Selected Areas in Communications > 2008 > 26 > 8 > 1494 - 1504

We consider a MIMO broadcast channel where both the transmitter and receivers are equipped with multiple antennas. Channel state information at the transmitter (CSIT) is obtained through limited (i.e., finite-bandwidth) feedback from the receivers that index a set of precoding vectors contained in a predefined codebook. We propose a novel transceiver architecture based on zero-forcing beamforming...

chapter

Antenna Combining and Codebook Design for the MIMO Broadcast Channel with Limited Feedback

M. Trivellato, Howard Huang, F. Boccardi

2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers > 302 - 308

2007 41st Asilomar Conference on Signals, Systems and Computers (ACSSC '07)

We consider a MIMO broadcast channel where both the transmitter and receivers are equipped with multiple antennas and where channel state information at the transmitter (CSIT) is provided through limited (i.e., finite-bandwidth) feedback from the receivers. Adopting a simple zero-forcing type of beamformer, we show how additional degrees of freedom provided by multiple antennas at the receiver can...

chapter

Joint low-rate feedback and channel quantization for the MIMO broadcast channel

N. Benvenuto, E. Conte, S. Tomasin, M. Trivellato

AFRICON 2007 > 1 - 7

AFRICON 2007

For the downlink of a wireless cellular system where the base station (BS) uses multiple antennas in a beamforming configuration for a multiuser transmission (broadcasting), we investigate two techniques for quantizing the channel state information at the mobile terminal and feeding it back to the BS. In both cases quantization of channel vectors and feedback signaling are jointly designed in order...

chapter

Multiuser eigenmode transmission for mimo broadcast channels with limited feedback

F. Boccardi, H. Huang, M. Trivellato

2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications > 1 - 5

2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications

We consider the problem of communicating in a MIMO broadcast channel (a point-to-multipoint system where both the transmitter and receivers employ multiple antennas) where the transmitter has imperfect knowledge of the MIMO channels due to limited feedback from the receivers. Our proposal is based on a low-complexity technique known as multiuser eigenmode transmission (MET) which has been shown to...

chapter

User Selection Schemes for MIMO Broadcast Channels with Limited Feedback

M. Trivellato, F. Boccardi, F. Tosato

2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring > 2089 - 2093

2007 IEEE 65th Vehicular Technology Conference

We propose a user selection algorithm and the supporting feedback scheme, for MIMO Gaussian broadcast channels with arbitrary number of users, transmit beamforming and limited channel state information (CSI) available at the transmitter. The method relies on estimation of the user signal-to-interference-plus-noise ratios (SINR's) at the transmitter, by means of an appropriate finite-rate channel report...

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Keywords

MIMO COMMUNICATION (9)
ANTENNA ARRAYS (8)
CHANNEL STATE INFORMATION (6)
MIMO (6)
MULTIUSER CHANNELS (6)
QUANTIZATION (6)
ARRAY SIGNAL PROCESSING (5)
BROADCAST CHANNELS (5)
QUANTISATION (SIGNAL) (5)
THROUGHPUT (5)
CELLULAR RADIO (4)
CHANNEL QUANTIZATION (4)
INTERFERENCE (4)
MULTIPLE ANTENNAS (4)
RECEIVERS (4)
SIGNAL TO NOISE RATIO (4)
BPSK (3)
FEEDBACK (3)
LIMITED FEEDBACK (3)
MIMO BROADCAST CHANNEL (3)
PROTOCOLS (3)
RESOURCE ALLOCATION (3)
TRANSMITTERS (3)
4TH GENERATION WIRELESS COMMUNICATION SYSTEMS (2)
ACTUATORS (2)
ANTENNAS (2)
BASE STATION (2)
CODEBOOK DESIGN (2)
CONTROL ENGINEERING COMPUTING (2)
CONTROL SYSTEM SYNTHESIS (2)
INDEPENDENT CHANNEL QUANTIZATION (2)
KALMAN FILTERS (2)
MOBILE ANTENNAS (2)
MOBILE RADIO (2)
MULTIUSER MIMO-OFDM DOWNLINK SYSTEMS (2)
OFDM (2)
OFDM MODULATION (2)
OPTIMAL CONTROL (2)
PHASE SHIFT KEYING (2)
RECEIVING ANTENNAS (2)
SIGNAL PROCESSING COMPLEXITY (2)
SIGNAL QUANTIZATION (2)
TCP-LIKE PROTOCOL (2)
TRANSCEIVERS (2)
TRANSMITTER (2)
WIRELESS SENSOR NETWORKS (2)
4G MOBILE COMMUNICATION (1)
ACTUATOR (1)
ANTENNA COMBINING (1)
ANTENNA CONFIGURATION (1)
ANTENNA MOBILE TERMINALS (1)
APPROXIMATION METHODS (1)
BANDWIDTH (1)
BANDWIDTH ALLOCATION (1)
BANDWIDTH TRANSMISSION (1)
BANDWIDTH TRANSMISSIONS (1)
BASE STATIONS (1)
BEAMFORMING CONFIGURATION (1)
BINARY PHASE SHIFT KEYING (1)
CELLULAR NETWORKS (1)
CHANNEL BANDWIDTH (1)
CHANNEL ESTIMATION (1)
CHANNEL QUANTIZATION TECHNIQUE (1)
CHANNEL REALIZATIONS (1)
CHANNEL STATE FEEDBACK (1)
CHANNEL STATE INFORMATION TECHNIQUE (1)
CHANNEL STATISTICS (1)
CODES (1)
COMPUTATIONAL COMPLEXITY (1)
COMPUTER ARCHITECTURE (1)
CONTROLLERS (1)
COVARIANCE ANALYSIS (1)
COVARIANCE MATRIX (1)
CROSS-LAYER DESIGN (1)
CROSS-LAYER NETWORKED CONTROL SYSTEM DESIGN (1)
CROSS-LAYER OPTIMIZATION (1)
CSIT FEEDBACK (1)
DELAYS (1)
DIVERSITY RECEPTION (1)
DOWNLINK (1)
DOWNLINK CELLULAR THROUGHPUT (1)
DOWNLINK MULTIUSER MIMO SYSTEMS (1)
ENCODING (1)
FEEDBACK OPTIMIZATION (1)
FEEDBACK OVERHEAD (1)
FEEDBACK SIGNALING (1)
FEEDBACK STRATEGIES (1)
FINITE-BANDWIDTH FEEDBACK (1)
FINITE-RATE FEEDBACK SCHEMES (1)
FREQUENCY ALLOCATION (1)
FREQUENCY DIVERSITY (1)
FREQUENCY-MULTIUSER DIVERSITY (1)
GENERALIZED ZERO-FORCING BEAMFORMING (1)
INFINITE HORIZON (1)
INTERCELL INTERFERENCE (1)
INTRASITE COORDINATION (1)
LAND MOBILE RADIO CELLULAR SYSTEMS (1)
LIMITED NETWORK MIMO COORDINATION (1)
LINEAR RECEIVER (1)
LLOYD-MAX ALGORITHM (1)
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