Abstract: Novel “loss rate” metrics are presented that can be used to indicate the quality of a video stream. These metrics may be determined using a simplified method or by a more sophisticated method, the latter method applying different “weights” (i.e., adjustments) to error computations based on the type of frame involved (i.e., I, P, B). Both methods may produce a video quality score within a given range (e.g., in the range of 0 to 1) where one end of the range indicates a video stream of high quality (i.e., no frames are affected), and the other end indicates a video stream of low quality (i.e., all frames are affected).

Abstract: An example method includes receiving at a user device a policy from a communication network node, and loading the user device with content data based on the policy. The policy specifies a rule set and a corresponding action to undertake in the event of a condition satisfying the rule set and may be received at the user device in response to connection of the user device to the network node. The policy received may be an updated policy, and may be based on network conditions. Example apparatuses and methods determine how (for example, what access technology and what times, to best deliver content given the particulars for a user and the device state of the user, using a rules set that can be dynamically updated without user intervention by network operators based on network management policies. Delivery includes upload, download and sideload of a user device.

Abstract: By decomposing (i.e., dividing) an interference graph into subgraphs, it becomes feasible to compute close approximations of an optimal channel allocation scheme within a reasonable amount of time. The channel allocation scheme may be used to allocate specific channels to access points (APs) in a wireless, local area network (WLAN).

Abstract: Novel “loss rate” metrics are presented that can be used to indicate the quality of a video stream. These metrics may be determined using a simplified method or by a more sophisticated method, the latter method applying different “weights” (i.e., adjustments) to error computations based on the type of frame involved (i.e., I,P, B). Both methods may produce a video quality score within a given range (e.g., in the range of 0 to 1) where one end of the range indicates a video stream of high quality (i.e., no frames are affected), and the other end indicates a video stream of low quality (i.e., all frames are affected).

Abstract: Channels are allocated to one or more cells within a wireless LAN (WLAN) without causing unacceptable interference. The allocation involves dividing an allocation time period into frames, each frame having a substantially short duration, and then allocating one or more channels to one or more WLAN cells during each such frame according to an allocation vector. The vector assures that each cell allocated a channel is sufficiently distant from every other cell allocated the same channel to minimize cross interference. Only those cells allocated a channel are allowed to transmit during a given frame. The allocation vectors are determined in such a way that the performance of a WLAN is optimized.