Abstract: A method for improved efficiency for massive MIMO adaptation. In an embodiment, method for operating a network component in a massive MIMO network includes obtaining, by the network component, one or more network parameters; determining, by the network component, a number of active antennas in a massive MIMO AP to use for transmitting in one time frame according to the one or more network parameters, the number of active antennas selected being less than a total number of antennas available in the massive MIMO AP; and serving one or more UEs using the determined number of active antennas. Other embodiments reduce the number of beamformers utilized according to network parameters. In still other embodiments, a number of data streams to transmit and a corresponding number of users to be served in a time frame by a massive MIMO AP is reduced.

Abstract: Method and apparatus for downlink (DL) channel estimation in massive MIMO are provided. A base station (BS) support massive MIMO may select a dictionary for a user equipment (UE) in its cell and transmit information for constructing the dictionary to the UE. The UE constructs the dictionary based on the information received and performs compressed sensing (CS)-based DL channel estimation for the BS. The UE also sends feedback information to the BS, which include information that is useful for determination of the dictionary by the BS.

Abstract: It is possible to reduce the overhead associated with downlink channel estimation in massive Multiple-Input-Multiple-Output (MIMO) networks by processing training sequences according to a transformation matrix. The transformation matrix maps a generic dictionary to a non-generic dictionary associated with an antenna geometry of a MIMO antenna array. The transformation matrix can be computed based on the two dictionaries. In one embodiment, the training reference signal is precoded to obtain a precoded training reference signal, which is then transmitted over a MIMO antenna array. The training precoder used to precode the training reference signal is designed according to the transformation matrix to mitigate a dependence that the training reference signal transmission has on the antenna geometry.

Abstract: It is possible to reduce the overhead associated with downlink channel estimation in massive Multiple-Input-Multiple-Output (MIMO) networks by processing training sequences according to a transformation matrix. The transformation matrix maps a generic dictionary to a non-generic dictionary associated with an antenna geometry of a MIMO antenna array. The transformation matrix can be computed based on the two dictionaries. In one embodiment, the training reference signal is precoded to obtain a precoded training reference signal, which is then transmitted over a MIMO antenna array. The training precoder used to precode the training reference signal is designed according to the transformation matrix to mitigate a dependence that the training reference signal transmission has on the antenna geometry.

Abstract: Method and apparatus for downlink (DL) channel estimation in massive MIMO are provided. A base station (BS) support massive MIMO may select a dictionary for a user equipment (UE) in its cell and transmit information for constructing the dictionary to the UE. The UE constructs the dictionary based on the information received and performs compressed sensing (CS)-based DL channel estimation for the BS. The UE also sends feedback information to the BS, which include information that is useful for determination of the dictionary by the BS.

Abstract: A method for improved efficiency for massive MIMO adaptation. In an embodiment, method for operating a network component in a massive MIMO network includes obtaining, by the network component, one or more network parameters; determining, by the network component, a number of active antennas in a massive MIMO AP to use for transmitting in one time frame according to the one or more network parameters, the number of active antennas selected being less than a total number of antennas available in the massive MIMO AP; and serving one or more UEs using the determined number of active antennas. Other embodiments reduce the number of beamformers utilized according to network parameters. In still other embodiments, a number of data streams to transmit and a corresponding number of users to be served in a time frame by a massive MIMO AP is reduced.

Abstract: An embodiment method for power control in a multi-hop communications system includes transmitting a power usage pattern for each relay node in a subset of relay nodes served by a communications controller, where the power usage pattern specifies transmit power levels for the relay node while the relay node is operating in a power control mode. The method also includes receiving channel measurements of access links between the relay nodes in the subset of relay nodes and subscriber equipment served by the relay nodes, determining backhaul link transmit power levels and access link transmit power levels based on the channel measurements of access links and channel measurements of backhaul links between the communications controller and the relay nodes, and transmitting the access link power levels to the subset of relay nodes.

Abstract: A system and method for distributed power control in a communications system are provided. A method for relay node operations includes transmitting a signal at a transmit power level on a first channel from a relay node to a user equipment, receiving a message comprising a first indication of channel quality of the first channel at the transmit power level, and determining a second indication of channel quality of a second channel between a communications controller and the relay node, where the first channel and the second channel are in a same multi-hop communication path. The method also includes altering the transmit power level of the first channel based on the first indication of channel quality and the second indication of channel quality to converge the channel quality of the first channel to a convergence value.

Abstract: A system and method for distributed power control in a communications system are provided. A method for relay node operations includes transmitting a signal at a transmit power level on a first channel from a relay node to a user equipment, receiving a message comprising a first indication of channel quality of the first channel at the transmit power level, and determining a second indication of channel quality of a second channel between a communications controller and the relay node, where the first channel and the second channel are in a same multi-hop communication path. The method also includes altering the transmit power level of the first channel based on the first indication of channel quality and the second indication of channel quality to converge the channel quality of the first channel to a convergence value.

Abstract: An embodiment method for power control in a multi-hop communications system includes transmitting a power usage pattern for each relay node in a subset of relay nodes served by a communications controller, where the power usage pattern specifies transmit power levels for the relay node while the relay node is operating in a power control mode. The method also includes receiving channel measurements of access links between the relay nodes in the subset of relay nodes and subscriber equipment served by the relay nodes, determining backhaul link transmit power levels and access link transmit power levels based on the channel measurements of access links and channel measurements of backhaul links between the communications controller and the relay nodes, and transmitting the access link power levels to the subset of relay nodes.