H04L41/5087

Software driven long-term-evolution core network for mobile access

Systems and methods for managing network resources, including managing a generated virtualized data plane network using a central controller. Virtual machine (VM) resources are assigned to two or more different network functions at a local data center. Traffic is dynamically optimized based on at least one of aggregate traffic demands and quality of service (QoS) goals, and resource allocations and inter-data center (DC) bandwidth resources are determined for VMs for a plurality of services. VMs for each middlebox function and a routing plane for each service are configured based on the determined resource allocation, and flows are routed based on the resource allocation and one or more configured network paths using an overlay-routing framework.

Fog Computing for Machine Translation

Pre-emptive configuration of a fog computing environment for on-demand services is provided. On-demand services are supported by service modules. Traffic related to demand for service modules is monitored and evaluated. The modules are selectively pushed to and removed from edge servers in a fog computing environment in order to efficiently service the demand for machine translation services.

RADIO COMMUNICATION NETWORK WITH MULTI THRESHOLD BASED SLA MONITORING FOR RADIO RESOURCE MANAGEMENT
20180152958 · 2018-05-31 ·

A radio communication network includes: a network orchestration entity, configured to orchestrate a plurality of network resources to set up at least one logical network of a plurality of logical networks based on a logical network-specific service level agreement (SLA); a radio scheduler, configured to schedule radio resources of the at least one logical network based on a scheduling strategy; a monitoring entity, configured to monitor performance information from the at least one logical network; and a controller, configured to: determine an SLA metric for the at least one logical network based on the monitored performance information from the at least one logical network; detect a threshold violation of the SLA metric with respect to a set of thresholds associated with the at least one logical network; and adjust the scheduling strategy based on the detected threshold violation.

Policy and charging control method and apparatus for an application service chain based on an SDN network
09961212 · 2018-05-01 · ·

A policy and charging control function PCRF determines an application service chain for an application based on multi-dimensional context information corresponding to the application, and transmits the corresponding application service chain information to an SDN controller. The SDN controller determines a forwarding rule for the application based on the application service chain information, and transmits the forwarding rule to a corresponding service chaining infrastructure network. SCEP(s) in the service chaining infrastructure network perform corresponding service function based on the forwarding rule.

OPTIMIZING PERFORMANCE BETWEEN A WIRELESS DISTRIBUTION SYSTEM (WDS) AND A MACRO NETWORK(S)
20180103383 · 2018-04-12 ·

Optimizing performance between a wireless distribution system (WDS) and a macro network(s). In this regard, a macro network optimization system is configured to detect a performance indicator(s) between a WDS and a macro network and optimize the performance of the macro network based on the detected performance indicator(s). The macro network optimization system analyzes a macro network performance report provided by the macro network and/or a WDS performance report provided by the WDS to detect the performance indicator(s) between the WDS and the macro network. The macro network optimization system reconfigures operations of one or more macro network elements to optimize performance between the WDS and the macro network based on the detected performance indicator(s). By detecting and optimizing performance between the WDS and the macro network, capacity, throughput, and/or coverage of the WDS and the macro network can be improved, thus providing better quality of experience (QoE).

OPTIMIZING PERFORMANCE BETWEEN A WIRELESS DISTRIBUTION SYSTEM (WDS) AND A MACRO NETWORK(S)
20180103384 · 2018-04-12 ·

Optimizing performance between a wireless distribution system (WDS) and a macro network(s). In this regard, a macro network optimization system is configured to detect a performance indicator(s) between a WDS and a macro network and optimize the performance of the macro network based on the detected performance indicator(s). The macro network optimization system analyzes a macro network performance report provided by the macro network and/or a WDS performance report provided by the WDS to detect the performance indicator(s) between the WDS and the macro network. The macro network optimization system reconfigures operations of one or more macro network elements to optimize performance between the WDS and the macro network based on the detected performance indicator(s). By detecting and optimizing performance between the WDS and the macro network, capacity, throughput, and/or coverage of the WDS and the macro network can be improved, thus providing better quality of experience (QoE).

Method and apparatus for routing voice calls over Voice over internet protocol networks

A method is provided for improving voice quality of Voice over IP networks in which a highest-quality routing protocol is interposed between a local IP PBX exchange and a cloud-based Internet service provider server to which calls are to be routed, wherein the highest-quality routing protocol detects the quality of the voice channel between the local IP PBX exchange and cloud-based Internet service provider servers and routes voice calls to that cloud-based Internet service provider server exhibiting the highest voice call quality, with the highest voice quality server connection determined by detecting lost packets and packet delay between the local IP PBX exchange and a server.

SDN-BASED CHANNEL ESTIMATION FOR MULTIPLEXING BETWEEN LOS MMWAVES, NLOS SUB-6 GHZ AND FSO
20180063731 · 2018-03-01 ·

A system for providing small cell backhaul communication includes a small cell backhaul network including a plurality of small cell network nodes. At least one mmWave transceiver at each of the plurality of small cell network nodes establishes communication links with other small cell network nodes within the small cell backhaul network. A software defined network (SDN) controller for controls communication link configuration by the at least one mmWave transceiver between the plurality of small cell network backhaul nodes of the small cell backhaul network. The link configurations are established by the SDN controller using mmWave communications.

USING LTE CONTROL CHANNEL TO SEND OPENFLOW MESSAGE DIRECTLY TO SMALL CELLS TO REDUCE LATENCY IN AN SDN-BASED MULTI-HOP WIRELESS BACKHAUL NETWORK
20180063848 · 2018-03-01 ·

A system for providing small cell backhaul communication includes a small cell backhaul network including a plurality of small cell network nodes. A software defined network (SDN) controller controls link configuration between the plurality of small cell network nodes of the small cell backhaul network. The SDN controller communicates control channel information with the plurality of small cell network backhaul nodes over a control channel using a communications protocol that enables software defined networking.

Voice adaptation for wireless communication
09906650 · 2018-02-27 · ·

A system and method for optimizing voice communications in a wireless network including an AP having a message waiting time that provides proper QoS while losing minimal communication bandwidth. The QoS may be responsive to the amount of user traffic in both the AP and neighboring APs. The method may include setting parameters for each level of QoS in response to a measure of the degree of contention for that level of QoS, and in response to a measure of the degree of contention for those levels of QoS with higher priority, and setting waiting time parameters in response to a stochastic model of contention at each level of QoS. Operational parameters might include contention window time, AIFS time, and back-off value(s), and might be modified in response to message QoS.