Abstract:
Increased resource utilization efficiency can be improved by modeling path costs during admission and path-selection. Specifically, path costs for candidate paths are modeled based on load characteristics (e.g., current load, load variation, etc.) of links in the candidate paths. Path costs can represent any quantifiable cost or liability associated with transporting a service flow over the corresponding path. For example, path costs can correspond to a probability that at least one link in the path will experience an outage when transporting the service flow, a price charged by a network operator (NTO) for transporting the traffic flow over the candidate path, or a total network cost for transporting the flow over a candidate path. The candidate path having the lowest path cost is selected to transport a service flow.
Abstract:
A method embodiment for transmission scheduling includes implementing, by a first base station (BS), a soft-persistent scheduling scheme. The soft-persistent scheduling scheme includes allocating a first resource block to a first UE and other resource blocks to other UEs for a first transmission time interval (TTI), calculating a first priority of the first UE for the first resource block for a second TTI, wherein calculating the first priority involves including a first bonus in the first priority, and wherein the second TTI is later than the first TTI, calculating other priorities for the other UEs and the other resource blocks for the second TTI, and allocating the first and the other resource blocks to the first and other UEs for the second TTI in accordance with the first priority of the first UE as modified by the first bonus and the other priorities of the other UEs.
Abstract:
A method for dynamically determining power and scheduling assignments in a communications network includes selecting, by a controller, a mobile station in each cell to define a mobile station set, determining, by the controller, a power allocation for each of the mobile stations in the mobile station set, calculating, by the controller, a global utility function by evaluating a contribution from each of the mobile stations in the mobile station set in accordance with the power allocation, repeating, by the controller, the selecting, the determining, and the calculating steps a predetermined number of times to generate additional ones of the global utility function, and choosing, by the controller, the mobile station set corresponding to the global utility function having a particular value for a resource block of a frame. The method may also include repeatedly dividing a user set into clusters to obtain a best power allocation.
Abstract:
Embodiments are provided for scheduling resources considering data rate-efficiency and fairness trade-off. A value of Jain's fairness index (JFI) is determined for transmitting a service to a plurality of users, and accordingly a sum of throughputs is maximized for transmitting the service to the users. Alternatively, a sum of throughputs is determined first and accordingly the JFI is maximized. Maximizing the sum of throughputs or JFI includes selecting a suitable value for a tuning parameter in an efficiency and fairness trade-off relation model. In accordance with the values of sum of throughputs and JFI, a plurality of resources are allocated for transmitting the service to the users. For static or quasi-static channels, the relation model is a convex function with a monotonic trade-off property. For ergodic time varying channels, the tuning parameter is selected by solving the relation model using a gradient-based approach.
Abstract:
Spoofed radio control signaling instructions can be used to dynamically adapt management of the radio interface by radio control processors. More specifically, spoofed radio control signaling can be communicated to an accelerator application instantiated on a device-side of a radio control processor. The accelerator application can pre-process the spoofed radio control signaling before forwarding the instructions to a generic radio control processor. In one example, the generic radio control processor has a universal configuration that is capable of being adapted to different telecommunication protocols based on the spoofed radio control signaling. In another example, the spoofed radio control channel signaling is translated into control instructions at the accelerator application, which are forwarded to the generic radio control processor. The control instructions govern processing of downlink data channel transmissions and/or specify parameters of uplink transmissions.
Abstract:
A method for estimating communications channels includes determining, by a first device, channel significance information from a transmitting device, the channel significance information including information about communications channels carrying signals that are potentially significant interferers to the first device operating within range of the transmitting device, and estimating, by the first device, channel parameters of the communications channels identified as potentially significant interferers in accordance with the channel significance information. The method also includes transmitting, by the first device, the estimated channel parameters to one of the transmitting device and a controlling device.
Abstract:
A method for pilot sequence design in a communications system includes selecting an initial cell in the communications system, and grouping other cells in the communications system relative to the initial cell into one of a neighbor group and a non-neighbor group in accordance with a neighborness measure of each of the other cells to the initial cell. The method also includes designing pilot sequences that are substantially orthogonal to one another for the initial cell and the other cells in the neighbor group, and providing information about the pilot sequences to the initial cell and the other cells in the communications system.
Abstract:
Embodiments are provided for scheduling resources considering data rate-efficiency and fairness trade-off. A value of Jain's fairness index (JFI) is determined for transmitting a service to a plurality of users, and accordingly a sum of throughputs is maximized for transmitting the service to the users. Alternatively, a sum of throughputs is determined first and accordingly the JFI is maximized. Maximizing the sum of throughputs or JFI includes selecting a suitable value for a tuning parameter in an efficiency and fairness trade-off relation model. In accordance with the values of sum of throughputs and JFI, a plurality of resources are allocated for transmitting the service to the users. For static or quasi-static channels, the relation model is a convex function with a monotonic trade-off property. For ergodic time varying channels, the tuning parameter is selected by solving the relation model using a gradient-based approach.