Abstract: A multiple antenna system (MAS) with multiuser (MU) transmissions (“MU-MAS”) exploiting inter-cell multiplexing gain via spatial processing to increase capacity in wireless communications networks.

Abstract: A multiple antenna system (MAS) with multiuser (MU) transmissions (“MU-MAS”) exploiting inter-cell multiplexing gain via spatial processing to increase capacity in wireless communications networks.

Abstract: Systems and methods are described to mitigate interference to out of band receivers using out of band training signals.

Abstract: A multiple antenna system (MAS) with multiuser (MU) transmissions (“MU-MAS”) exploiting inter-cell multiplexing gain via spatial processing to increase capacity in wireless communications networks.

Abstract: Systems and methods are described to create radio daisy chains for convenient and aesthetically pleasing high-density radio deployments.

Abstract: Systems and methods are described for enhancing the channel spatial diversity in a multiple antenna system (MAS) with multi-user (MU) transmissions (“MU-MAS”), by exploiting channel selectivity indicators. The proposed methods are: i) antenna selection; ii) user selection; iii) transmit power balancing. All three methods, or any combination of those, are shown to provide significant performance gains in DIDO systems in practical propagation scenarios.

Abstract: A system and method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client as the first DIDO client moves from a first DIDO cluster to a second DIDO cluster: For example, in one embodiment of the system and method, different signal strength thresholds are specified and either conventional DIDO precoding and/or DIDO precoding with inter-DIDO-cluster interference (IDCI) cancellation to avoid RF interference at the DIDO client are employed based on measured signal strengths from a main DIDO cluster and an interfering DIDO cluster.

Abstract: A system and method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client. For example, a method according to one embodiment comprises: sending RF energy to the DIDO client from one or more antennas of a DIDO network; estimating a current velocity of the DIDO client; and assigning the client to a particular DIDO network based on the estimated velocity of the client.

Abstract: Systems and methods are described for enhancing the channel spatial diversity in a multiple antenna system (MAS) with multi-user (MU) transmissions (“MU-MAS”), by exploiting channel selectivity indicators. The proposed methods are: i) antenna selection; ii) user selection; iii) transmit power balancing. All three methods, or any combination of those, are shown to provide significant performance gains in DIDO systems in practical propagation scenarios.

Abstract: A system and method are described for distributed antenna wireless communications.

Abstract: A system and method are described for distributed antenna wireless communications.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: A system and methods are described which compensate for the adverse effect of Doppler on the performance of DIDO systems. One embodiment of such a system employs different selection algorithms to adaptively adjust the active BTSs to different UEs based by tracking the changing channel conditions. Another embodiment utilizes channel prediction to estimate the future CSI or DIDO precoding weights, thereby eliminating errors due to outdated CSI.

Abstract: A system and method are described for distributed antenna wireless communications.

Abstract: Systems and methods are described for coordinating transmissions in distributed wireless systems via user clustering. For example, a method according to one embodiment of the invention comprises: measuring link quality between a target user and a plurality of distributed-input distributed-output (DIDO) distributed antennas of base transceiver stations (BTSs); using the link quality measurements to define a user cluster; measuring channel state information (CSI) between each user and each DIDO antenna within a defined user cluster; and precoding data transmissions between each DIDO antenna and each user within the user cluster based on the measured CSI.

Abstract: A system and methods are described which compensate for the adverse effect of Doppler on the performance of DIDO systems. One embodiment of such a system employs different selection algorithms to adaptively adjust the active BTSs to different UEs based by tracking the changing channel conditions. Another embodiment utilizes channel prediction to estimate the future CSI or DIDO precoding weights, thereby eliminating errors due to outdated CSI.

Abstract: Systems and methods are described to concurrently utilize actively used spectrum for new TDD or FDD networks, and also for enabling Distributed-Input Distributed Output (DIDO) techniques to be used with both the new networks and the existing networks in the same spectrum.

Abstract: Systems and methods are described for mapping Virtual Radio Instances (VRIs) into physical volumes of coherencein a Multiple Antenna System (MAS) with Multi-User (MU) transmissions (“MU-MAS”). These mapping methods enable communications through simultaneous non-interfering data streams in the same frequency band between the MU-MAS and multiple users, within their own volume of coherence. As the users move, their VRIs follow their respective volumes of coherence via teleportation to adjacent MU-MAS networks, thereby eliminating the need for handoffs as in conventional cellular systems and unnecessary control data overhead.

Abstract: Systems and methods are described for wireless backhaul in a multiple antenna system (MAS) with multi-user (MU) transmissions (“MU-MAS”). For example, a multiuser (MU) multiple antenna system (MAS) of one embodiment comprises: one or more centralized units communicatively coupled to multiple distributed transceiver stations via a network; the network consisting of wireline or wireless links or a combination of both, employed as a backhaul communication channel; the centralized unit transforming the N streams of information into M streams of bits, each stream of bits being a combination of some or all N streams of information; the M streams of bits being sent over the network to the distributed transceiver stations; the distributed transceiver stations simultaneously sending the streams of bits over wireless links to at least one client device such that at least one client device receives at least one of the original N streams of information.

Abstract: A machine-implemented system and method are described for removing interference between adjacent distributed-input-distributed-output (DIDO) clusters comprising. For example, a method according to one embodiment comprises: detecting signal strength at a first client from a main DIDO cluster; detecting interference signal strength at the first client from an interfering DIDO cluster; if the signal strength from the main DIDO cluster reaches a specified value relative to the value of the interference signal strength from the interfering DIDO cluster, then generating channel state information (CSI) defining channel state between one or more antennas of the first client and one or more antennas of the interfering DIDO cluster; transmitting the CSI from the first client to a base transceiver station (BTS) in the interfering DIDO cluster; and implementing DIDO precoding with inter-DIDO-cluster interference (IDCI) cancellation at the BTS in the interfering DIDO cluster to avoid RF interference at the first client.