Abstract: Historical decoding can be performed in accordance with pilot signal retransmission or control information retransmission to reduce the amount network resources consumed during data recovery. In one example, historical decoding is achieved through retransmitting a sub-set of coded bits carried by an earlier transmission, which are compared with a corresponding portion of the original signal (stored in memory) to obtain improved channel state information (CSI) relating to that earlier transmission. In another example, historical decoding is achieved through communicating parity information related to a sub-set of the coded bits carried by an earlier transmission, which are used in accordance with a data aided CSI technique to obtain the improved CSI relating to that earlier transmission. In yet another example, historical decoding is achieved by re-transmitting control information carried by an earlier transmission, which is used to decode an original signal (stored in memory).

Abstract: An embodiment method of traffic engineering (TE) in a software defined radio access network (SD-RAN) includes determining, by a radio resource manager (RRM) at a wireless radio node, respective data rates for paths of a plurality of user equipments (UEs) wirelessly coupled to the wireless radio node. The RRM computes respective supported wireless rates for the paths of the plurality of UEs according to the respective data rates. The TE module receives respective allocated data rates for the paths of the plurality of UEs. The method also includes repeating the determining and the computing using the respective allocated data rates.

Abstract: Embodiments are provided for traffic scheduling based on user equipment (UE) in wireless networks. A location prediction-based network scheduler (NS) interfaces with a traffic engineering (TE) function to enable location-prediction-based routing for UE traffic. The NS obtains location prediction information for a UE for a next time window comprising a plurality of next time slots, and obtains available network resource prediction for the next time slots. The NS then determines, for each of the next time slots, a weight value as a priority parameter for forwarding data to the UE, in accordance with the location prediction information and the available network resource prediction. The result for the first time slot is then forwarded from the NS to the TE function, which optimizes, for the first time slot, the weight value with a route and data for forwarding the data to the UE.

Abstract: Historical decoding can be performed in accordance with pilot signal retransmission or control information retransmission to reduce the amount network resources consumed during data recovery. In one example, historical decoding is achieved through retransmitting a sub-set of coded bits carried by an earlier transmission, which are compared with a corresponding portion of the original signal (stored in memory) to obtain improved channel state information (CSI) relating to that earlier transmission. In another example, historical decoding is achieved through communicating parity information related to a sub-set of the coded bits carried by an earlier transmission, which are used in accordance with a data aided CSI technique to obtain the improved CSI relating to that earlier transmission. In yet another example, historical decoding is achieved by re-transmitting control information carried by an earlier transmission.

Abstract: System and method embodiments are provided for adaptive traffic engineering configuration. The embodiments enable the TE configuration to change in real time in response to changing conditions in the network, the TE algorithm, or other variables such that a TE decision is substantially optimized for current real time conditions. In an embodiment, a method in a network component for adaptable traffic engineering (TE) configuration in software defined networking (SDN) includes receiving at the network component TE configuration information, wherein the TE configuration information comprises information about at least one of network conditions, a TE algorithm, user equipment (UE) information, and the network component, and dynamically changing with the network component the TE configuration in accordance to a change in the TE configuration information.

Abstract: The computational complexity of MCS adaptation for linear and non-linear MU-MIMO can be reduced by avoiding QR decomposition during subsequent stages of MCS adaptation. For instance, QR decomposition can be avoided in later stages of MCS adaptation by computing an instant upper right triangular matrix (R1) directly from an earlier upper right triangular matrix (R) and an earlier unitary matrix (U), which were obtained during a previous stage of MCS adaptation. As such, the instant upper right triangular matrix (R1) is obtained without performing QR decomposition on an instant Hermitian matrix (H1H), thereby allowing MCS adaptation to be performed for the new user group with less complexity. Additionally, computational complexity of MCS adaptation for linear MU-MIMO can be further reduced by avoiding matrix inversion during subsequent stages of MCS adaptation.

Abstract: System and method embodiments are provided for traffic engineering (TE) in software defined networking (SDN). The embodiments enable a complete end-to-end TE solution between a user equipment (UE) and a source/destination across a radio access network (RAN). In an embodiment, a method in a network component for TE in a SDN includes receiving TE information from a first core network component in a core network, a RAN component, wherein the RAN is communicably coupled to the core network, wherein the TE information includes a TE objective; and determining a TE decision between at least one UE and a second core network component in the core network according to the TE information and the TE objective, wherein the TE decision comprises information for at least one end-to-end path solution between the at least one UE and the second core network wherein the path traverses the core network and the RAN.

Abstract: A method for engineering traffic in a communications system includes determining a set of delay constraints associated with a traffic flow over the communications system, and excluding non-convex constraints from the set of delay constraints, thereby producing a set of convex constraints. The method also includes selecting a path solution for the traffic flow in accordance with the set of convex constraints, and sending information regarding the path solution to nodes in the communications system.

Abstract: System and method embodiments are provided for proactive congestion detection in radio access networks. In an embodiment, a method in a network component for inhibiting the occurrence of congestion at radio nodes in a network includes determining, by the network component, a congestion alert threshold according to available resources in the network, wherein the congestion alert threshold comprises an incoming data rate threshold to an ingress server; and transmitting, by the network component, the congestion alert threshold to the ingress server, wherein the ingress server is configured to transmit a congestion alert to the network component when the incoming data rate exceeds the congestion alert threshold.

Abstract: In one embodiment, a method for traffic splitting includes detecting congestion in a traffic flow and splitting the traffic flow into a first sub-flow and a second sub-flow after detecting congestion in the traffic flow. The method also includes transmitting, by a first node to a destination node, the first sub-flow along a first path and transmitting, by the first node to a second node, the second sub-flow along a second path, where the second sub-flow is destined for the destination node.

Abstract: An embodiment of a method for network resource management comprises performing joint traffic engineering and physical layer power control on a controller and using a routing and power control optimization process that comprises a combined alternating direction method of multipliers (ADMM) process and a power management process. First and second commands are generated at the controller according to optimization parameters determined by the routing and power control optimization process. The first and second commands are transmitted from the controller to nodes connected to the controller. The first commands are for modifying transmission parameters for links between nodes and the second commands are for modifying transmission parameters for connections between nodes and user devices.

Abstract: Method and apparatus for decoding a transmitted signal by a receiver in a MIMO system into a first estimate component for estimating a first signal, a first interference component indicating interference resulting from a correlation relationship among a set of signals to be transmitted, and a first noise component. A base station generates the transmitted signal from the set of signals through a coding process, the coding process defining a correlation relationship amongst the set of signals. The correlation information about the correlation relationship is transmitted to the receiver directly or by a dedicated reference symbol. The decoding is performed by determining a linear receiver filter for the first signal in accordance with the correlation information, and de-correlating the first signal and interferences.

Abstract: An embodiment method includes receiving service parameters for a service and locating logical network nodes for a service-specific data plane logical topology at respective physical network nodes among a plurality of physical network nodes according to the service parameters, a service-level topology, and a physical infrastructure of the plurality of physical network nodes. The method also includes defining connections among the logical network nodes according to the service parameters, the service-level topology, and the physical infrastructure, and defining respective connections for a plurality of UEs to at least one of the logical network nodes according to the service parameters, the service-level topology, and the physical infrastructure. The method further includes defining respective functionalities for the logical network nodes.

Abstract: A system and method for agile wireless access network is provided. A method embodiment for agile radio access network management includes determining, by a network controller, capabilities and neighborhood relations of radio nodes in the radio access network. The network controller then configures a backhaul network infrastructure for the radio access network in accordance with the capabilities and the neighborhood relations of the radio nodes.

Abstract: The computational complexity of MCS adaptation for linear and non-linear MU-MIMO can be reduced by avoiding QR decomposition during subsequent stages of MCS adaptation. For instance, QR decomposition can be avoided in later stages of MCS adaptation by computing an instant upper right triangular matrix (R1) directly from an earlier upper right triangular matrix (R) and an earlier unitary matrix (U), which were obtained during a previous stage of MCS adaptation. As such, the instant upper right triangular matrix (R1) is obtained without performing QR decomposition on an instant Hermitian matrix (H1H), thereby allowing MCS adaptation to be performed for the new user group with less complexity. Additionally, computational complexity of MCS adaptation for linear MU-MIMO can be further reduced by avoiding matrix inversion during subsequent stages of MCS adaptation.

Abstract: Method and apparatus for decoding a transmitted signal by a receiver in a MIMO system into a first estimate component for estimating a first signal, a first interference component indicating interference resulting from a correlation relationship among a set of signals to be transmitted, and a first noise component. A base station generates the transmitted signal from the set of signals through a coding process, the coding process defining a correlation relationship amongst the set of signals. The correlation information about the correlation relationship is transmitted to the receiver directly or by a dedicated reference symbol. The decoding is performed by determining a linear receiver filter for the first signal in accordance with the correlation information, and de-correlating the first signal and interferences.

Abstract: Historical decoding can be performed in accordance with pilot signal retransmission or control information retransmission to reduce the amount network resources consumed during data recovery. In one example, historical decoding is achieved through retransmitting a sub-set of coded bits carried by an earlier transmission, which are compared with a corresponding portion of the original signal (stored in memory) to obtain improved channel state information (CSI) relating to that earlier transmission. In another example, historical decoding is achieved through communicating parity information related to a sub-set of the coded bits carried by an earlier transmission, which are used in accordance with a data aided CSI technique to obtain the improved CSI relating to that earlier transmission. In yet another example, historical decoding is achieved by re-transmitting control information carried by an earlier transmission.

Abstract: Historical decoding in accordance with signal interference cancellation (SIC) or joint processing may reduce the amount of data that is re-transported across a network following an unsuccessful attempt to decode a data transmission. In one example, historical decoding is performed in accordance with interference cancellation by communicating information related to interfering data (rather than information related to serving data) following a served receiver's unsuccessful attempt to decode an interference signal. The information related to the interfering data may be the information bits carried by the earlier interfering data transmission or parity information (e.g., forward error correction (FEC) bits, etc.) related to the earlier interfering data transmission.

Abstract: Method and apparatus for decoding a transmitted signal by a receiver in a MIMO system into a first estimate component for estimating a first signal, a first interference component indicating interference resulting from a correlation relationship among a set of signals to be transmitted, and a first noise component. A base station generates the transmitted signal from the set of signals through a coding process, the coding process defining a correlation relationship amongst the set of signals. The correlation information about the correlation relationship is transmitted to the receiver directly or by a dedicated reference symbol. The decoding is performed by determining a linear receiver filter for the first signal in accordance with the correlation information, and de-correlating the first signal and interferences.

Abstract: A system is provided for allocating downlink transmit power in a wireless multiple-input multiple-output (MIMO) system. During operation, the system identifies a set of receivers for receiving signals from one or more transmitters on a same time-frequency slot, receives channel state information (CSI) for communication channels between the identified receivers and the transmitters, and constructs a precoder based on the CSI. The system further derives a set of power-scale factors for the precoder based on a utility function associated with the identified receivers such that the power-scale factors optimize the utility function. A respective power-scale factor scales power transmitted to a corresponding receiver.