发明名称 Traffic scheduling system for wireless communication system
摘要 In one embodiment, a self-healing baseband unit for modifying a key parameter indicator (KPI) value includes a processor that executes a real-time platform health processing agent that generates a fault alarm message based on real-time platform health data received from various components of the baseband unit. The baseband unit includes a L1 sub-system connected via a shared memory to a LL2 processing agent. The L2 processing agent includes a data plane processing module for generating control data and a scheduling module. The scheduling module includes a scheduler trade-off module for generating a trade-off value based on the KPI value and the fault alarm message, and an air interface scheduler that modifies primary uplink and downlink transmission schedules based on the trade-off value, a bearer QoS value, and the control data. The KPI is modified by transmission and reception using the modified uplink and downlink transmission schedules.
申请公布号 US9572057(B2) 申请公布日期 2017.02.14
申请号 US201514692725 申请日期 2015.04.21
申请人 FREESCALE SEMICONDUCTOR, INC. 发明人 Kumar Anoop;Purohit Amit
分类号 H04W24/08 主分类号 H04W24/08
代理机构 代理人 Bergere Charles E.
主权项 1. A system for scheduling transmission in uplink and downlink communication channels of a wireless communication network the system comprising: a first processor configured for: executing a layer 1 (L1) processing agent,receiving a first set of transport blocks based on a downlink transmission schedule,processing the first set of transport blocks,generating a first set of in-phase and quadrature-phase (I/Q) samples,transmitting the first set of I/Q samples over the downlink communication channel based on the downlink transmission schedule,receiving a second set of I/Q samples via the uplink communication channel based on an uplink transmission schedule,processing the second set of I/Q samples,generating a second set of transport blocks,determining a health parameter associated with the first processor, andgenerating real-time platform health data based on the health parameter; a shared memory connected to the first processor for receiving and storing the real-time platform health data and modified uplink and downlink transmission schedules; and a second processor connected to the shared memory for executing a real-time platform health processing agent and a layer 2 (L2) processing agent, wherein the real-time platform health processing agent receives the real-time platform health data and generates a fault alarm message, and wherein the L2 processing agent includes: a data plane processing module for L2 processing of a wireless protocol stack, wherein the data plane processing module: reads a first set of data packets from a system memory,processes the first set of data packets and generates the first set of transport blocks,reads the second set of transport blocks generated by the first processor from the shared memory,processes the second set of transport blocks,generates a second set of data packets, andgenerates control data corresponding to at least one of the uplink and downlink communication channels; anda scheduling module for receiving the control data and the fault alarm message, wherein the scheduling module: determines a key performance indicator (KPI) value and a bearer quality of service (QoS) value,determines a trade-off value based on the fault alarm message and the KPI value,modifies at least one of the uplink and downlink transmission schedules based on the trade-off value, the bearer QoS value, and the control data, andgenerates and provides the at least one of the modified uplink and downlink transmission schedules to the first processor via the shared memory,wherein the first processor receives the at least one of the modified uplink and downlink transmission schedules, andreceives and/or transmits a third set of I/Q samples over the uplink and downlink communication channels based on the modified uplink and downlink transmission schedules, respectively, andwherein the KPI value of at least one of the uplink and downlink communication channels is modified based on the real-time platform health data.
地址 Austin TX US