Silent period method and apparatus for dynamic spectrum management

Abstract

Described herein is a silent period method and apparatus for dynamic spectrum management. The methods include configuration and coordination of silent periods across an aggregated channel in a wireless communication system. A silent period management entity (SPME) dynamically determines silent period schedules for channels based on system and device information and assigns a silent period duration and periodicity for each silent period. The SPME may reconfigure the silent period schedule based on system delay, system throughput, channel quality or channel management events. A silent period interpretation entity (SPIE) receives and implements the silent period schedule. The silent periods for the channels may be synchronized, independent, or set-synchronized. Interfaces for communicating between the SPME, SPIE, a channel management function, a medium access control (MAC) quality of service (QoS) entity, a sensing / capabilities database, a MAC layer management entity (MLME) and a wireless receive / transmit unit (WTRU) MLME are described herein.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Application No. 61 / 410,528, filed November 5, 2010, the contents of which are incorporated herein by reference. technical field [0003] This application relates to wireless communications. Background technique [0004] Local wireless networking systems, such as Institute of Electrical and Electronics Engineers (IEEE) 802.11, may operate in predetermined frequency spectrums, such as contiguous spectrum channels. Furthermore, the allowed spectrum for cellular licensed devices and for devices operating in unlicensed bands, such as industrial, scientific and medical (ISM) bands, does not change over time. [0005] In the United States, 408MHz of spectrum from 54MHz to 806MHz can be allocated for television (TV). A portion of this spectrum can be redeveloped through auctions for commercial operations and for public safety applications. The remainder of this spectrum can...

AI Technical Summary

Problems solved by technology

However, it cannot solve the problem of listening to silent information in aggregated channels

[0008] sse during silent periods results in reduced throughput and increased latency / jitter

When a group of stations is silent on measurements, the output throughput during that silent period is buffered, increasing buffer space requirements

Additionally, the reduction in throughput and resulting latency / jitter can adversely affect specific applications running on the network

Images