Apr 15, 2018 - the expectation of End Users for high capacity vertical and horizontal network slicing operations in 5G, low latency is expected from Mobile ...
5G Wireless System High Speed (Edge Computing) Virtual Servers babak vosooghzadeh April 15, 2018 This report provides simple guidelines on the speed improvement and access of 5G Virtual Servers in order to meet the low latency requirement. All sorts of options are exploited to achieve the low latency such as parallel processing at the processor level, massive parallel processing between processors, distributed computing between servers, increasing the speed of processor sequential (single thread) operations, and increasing the speed of processor transistors along with lowering the power consumption. Moreover, for high speed edge computing purposes & network slicing, active (predictive) analytics can be used to dynamically predict and assign the network resources.
5G Mobile Edge Virtual Servers Low Latency With the deployment of SDN (Software Defined Networking) and NFV (Network Function Virtualization) features and the expectation of End Users for high capacity vertical and horizontal network slicing operations in 5G, low latency is expected from Mobile Edge Computing Virtual Servers. The low latency requirement can be satisfied by increasing the speed of virtual nodes and by using Active Analytics in Management plane or Resource & Service Orchestration modules in order to optimize the network resources. At the superscalar processor level of the standard servers, simultaneous multi-threading, multi-core processing, Trace Caching, and Process in Memory are employed. In-Database Processing is used in servers by loading the User Defined Functions into the database process space. Also, processor speed can be increased by using high speed transistors and by increasing the speed of sequential (single thread) operations. Aside from Massive parallel processing between multiple processors, computational cluster (distributed computing environment) can be created between a group of servers and other resources to obtain high availability, load balancing and parallel processing. For Active (Predictive) Analytics, network data can be collected from a variety of network elements to provide end user behavior and network usage pattern, even at the RAN (Radio Access Network) stage
5G (Virtual Server Processor) Nanotransistor Operation Near Threshold Voltage Nanotransistors in general are required to provide higher processing speed and lower power consumption as they are scaled down. For example, FinFETs (at say 7nm gate length) or multigate devices in general surround the FET channel on multiple surfaces in order to have better electrical control over the channel and to effectively suppress the “off-state” leakage current (lowering the idle power). They also provide enhanced current in the “on” state. In order to design the operating voltage for the speed and power requirements, the operating voltage is lowered toward the threshold voltage until the MEP (Minimum Energy Point) is reached. Then, the operating voltage is increased above the MEP (sacrificing power consumption) in order to improve the transistor processing delay. For example, the average energy per logic operation at 7nm has to be less than (2D scale factor from 14 to 7 nm x avg. energy per logic operation at 14 nm) and the average logic delay at 7nm has to be lower than (constant x average logic delay at 14nm) with 0
