Abstract: A method to allocate resources in a wireless MIMO system, by enforcing per-cell orthogonality to avoid intra-cell interference; and allocating resources based on interference handling.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: Systems and methods are disclosed for transmission with a plurality of base stations (BSs) in a wireless cellular data network where one BS communicates with neighboring BSs by determining a binary or discrete new power level on each subchannel to determine a weighted sum modified rates of a BS and in-neighbor BSs; and resolving concurrent power update in each BS in a distributed manner.

Abstract: A method to allocate resources in a wireless MIMO system, by enforcing per-cell orthogonality to avoid intra-cell interference; and allocating resources based on interference handling.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: Systems and methods are disclosed for transmission with a plurality of base stations (BSs) in a wireless cellular data network where one BS communicates with neighboring BSs by determining a binary or discrete new power level on each subchannel to determine a weighted sum modified rates of a BS and in-neighbor BSs; and resolving concurrent power update in each BS in a distributed manner.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: A multi-cell Orthogonal Frequency-Division Multiple Access (OFDMA) based wireless system and method with full spectral reuse co-channel interference mitigation via base station coordination in a downlink channel includes a plurality of base stations configured to handle communications with mobile units. A central controller is configured to mitigate interference between base stations via jointly optimizing coordinated scheduling and power allocation in accordance with a sub-optimal iterative solution. Five methods provide the solution, which include: 1) Improved Iterative Water-Filling (I-IWF); 2) Iterative Spectrum Balancing (ISB); 3) Successive Convex Approximation for Low-complexity (SCALE); 4) Opportunistic Base Station Selection (OBSS) and 5) Per-tone binary power control (PT-BPC).