Abstract: System and method for dimension reduction and for channel and interference condition feedback in a Multi-User Multiple-Input-Multiple-Output (MU MIMO) wireless communication systems are provided herein. The method for dimension reduction includes determining a number of virtual antennas, vk, for beamformees pertaining to a multi user (MU) transmission group, reducing the dimension of the matrix by selecting a sub-set of antennas or by Eigen mode selection and sending a reduced dimension candidate transmit beamforming matrix or an effective channel matrix to a beamformer. The method for channel and interference condition feedback Interference condition includes sending to a beamformee metric indicative of the interference level from other streams.

Abstract: A method for communication includes generating a data transmission including multiple successive parts in respective time intervals, for transmission to a target receiver. At least one jamming transmission is generated, having a configuration that varies over the respective time intervals corresponding to the parts of the data transmission, including at least first and second different configurations generated during respective first and second time intervals. The data transmission is transmitted to the target receiver using an antenna array, and the at least one jamming transmission is transmitted simultaneously using the antenna array.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: System and method for backoff correction of channel quality information (CQI). A correction factor is calculated based on a goodness measure such as packet error rate (PER). The selection of modulation and coding scheme (MCS) is made considering the channel quality information (CQI) adjusted by the correction factor. A meaningful goodness measure can be imposed if the goodness measure is very low. A different correction factor can be calculated for different confidence levels, MCSs and transmission modes.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: System and method for backoff correction of channel quality information (CQI). A correction factor is calculated based on a goodness measure such as packet error rate (PER). The selection of modulation and coding scheme (MCS) is made considering the channel quality information (CQI) adjusted by the correction factor. A meaningful goodness measure can be imposed if the goodness measure is very low. A different correction factor can be calculated for different confidence levels, MCSs and transmission modes.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: A method for communication includes generating one or more data streams for transmission to respective target receivers, and one or more jamming streams. At least one parameter, selected from a group of parameters consisting of power ratios for allocation to the jamming streams and Modulation and Coding Schemes (MCSs) for assigning to the data streams, is calculated based on a criterion that is set to reduce a probability of the data streams being decoded by at least one eavesdropping receiver. The data streams and the jamming streams are transmitted using an antenna array while applying the at least one parameter.

Abstract: A method for communication includes generating a data transmission including multiple successive parts in respective time intervals, for transmission to a target receiver. At least one jamming transmission is generated, having a configuration that varies over the respective time intervals corresponding to the parts of the data transmission, including at least first and second different configurations generated during respective first and second time intervals. The data transmission is transmitted to the target receiver using an antenna array, and the at least one jamming transmission is transmitted simultaneously using the antenna array.

Abstract: A method for communication includes, in a transmitter that transmits one or more data streams to respective target receivers and one or more jamming streams for preventing the data streams from being decoded by eavesdropping receivers, holding a definition of at least first and second transmission modes having respective, different first and second levels of security in preventing the data streams from being decoded by the eavesdropping receivers. One of the first and second transmission modes is selected for transmitting a data stream to a target receiver, by evaluating a selection criterion. The data stream and the jamming streams are transmitted via an antenna array using the selected transmission mode.

Abstract: System and method for tuning transmission parameters based on estimated ratio between a signal to an estimated interference plus noise (SINR) of a user, in a multiple-user multiple-input multiple-output (MU-MIMO) communication system, the method including obtaining channel state information (CSI) related to a channel from an access point (AP) to users that participate in a next MU-MIMO transmission, wherein the AP, and the users pertain to the MU-MIMO communication system, obtaining error coefficients related to errors related to channel-ageing and to estimation noise of the CSI, and calculating the estimated SINR, wherein the estimated interference is related to power of the other users and to the estimated channel magnitude the user u, and to the error coefficients, wherein the estimated channel magnitude is derived from the CSI.

Abstract: System and method for dimension reduction and for channel and interference condition feedback in a Multi-User Multiple-Input-Multiple-Output (MU MIMO) wireless communication systems. The method for dimension reduction includes determining a number of virtual antennas, vk, for beamformees pertaining to a multi user (MU) transmission group, reducing the dimension of said matrix by selecting a sub-set of antennas or by Eigen mode selection and sending a reduced dimension candidate transmit beamforming matrix or an effective channel matrix to a beamformer. The method for channel and interference condition feedback Interference condition includes sending to a beamformee metric indicative of the interference level from other streams.

Abstract: System and method for backoff correction of channel quality information (CQI). A correction factor is calculated based on a goodness measure such as packet error rate (PER). The selection of modulation and coding scheme (MCS) is made considering the channel quality information (CQI) adjusted by the correction factor. A meaningful goodness measure can be imposed if the goodness measure is very low. A different correction factor can be calculated for different confidence levels, MCSs and transmission modes.

Abstract: System and method for calculating a transmitter beamforming vector related to a channel vector h under per-antenna power constraints combined with total power constraint, under per-antenna power constraints combined with overall line of site (LOS) effective isotropic radiated power (EIRP) and under all three constraints. Calculating a transmitter beamforming vector may be done in the transmitter, in the receiver and feedback to the transmitter or in both. The method may be adapted to perform with a multi-antenna receiver and with multi-carrier systems.

Abstract: Some demonstrative embodiments of the invention include a method, apparatus, and system of performing simultaneous downlink transmission over a wireless medium to a plurality of wireless stations, using Spatial Division Multiple Access (SDMA) in a wireless local area network (WLAN). In one demonstrative embodiment of the invention, the method may include selecting a set of the plurality of wireless stations according to one or more ranking criteria; and reserving the wireless medium for a duration sufficient for completing the simultaneous downlink transmission to the wireless stations of the set. Other embodiments are described and claimed.

Abstract: A communication system includes a lattice interfered channel to transmit data from a transmitter to a receiver. In one embodiment, an encoding-modulation scheme having a rich signal constellation is used to encode data at a total rate of 0.7 bit/dimension or less before transmission into the lattice interfered channel. In another embodiment, decoding metric approximation techniques are used to process signals received from the lattice interfered channel. In still another embodiment, multilevel code (MLC) decoding is used to jointly decode an error correction code component and a lattice/MLC component of a received signal. The error correction code component may then be extracted from the decoded signal.

Abstract: Some embodiments of the present invention include a decoding system in which the decoding system uses iterative decoding techniques to decode signals encoded with lattice codes and/or multilevel coset codes. The decoding techniciucs according to some embodiments of the invention may be less complex than some decoding techniciues such as maximum likelihood decoding techniciues. Other embodiments of the prevent invention are described and claims.