Cognitive Radio Channel Discovery via ASA Beacon Signals
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Solution Overview
Problem
In cognitive radio networks, especially in LTE systems, efficient channel discovery is hindered by the need for UEs to measure numerous candidate channels, leading to increased delay and reduced battery life due to inaccurate system information and frequent changes in primary user activity, necessitating a more efficient method for identifying available channels.
Innovation Solution
The method involves measuring beacon signals, specifically Authorized Shared Access (ASA) beacon signals, which include Single Frequency Network (SFN) beacon signals, to extract frequency information, allowing UEs to determine available channels with reduced overhead by using common frequencies and designated ASA frequencies, and network entities transmit SFN beacon signals indicative of their operating frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UEs measure numerous candidate channels to discover available channels in cognitive radio networks, then channel discovery completeness is improved, but measurement delay increases and battery life decreases
Solution Approach 1:
The patent applies preliminary action by having network entities transmit beacon signals on candidate channels before UEs need to perform full channel measurements. The beacons are transmitted in advance so that UEs can discover available channels without performing exhaustive measurements, thereby reducing measurement delay while maintaining channel discovery completeness
Solution Approach 2:
The patent uses beacon signals as an intermediary mechanism between network entities and UEs. Instead of UEs directly measuring all candidate channels, the beacons serve as intermediaries that carry channel availability information, allowing UEs to infer channel status without performing full measurements, thus reducing time loss
2Reliability
If UEs measure numerous candidate channels to discover available channels, then channel discovery completeness is improved, but energy consumption increases
Solution Approach 1:
The network entities perform the energy-intensive beacon transmission in advance during their operational cycles. This preliminary action shifts the energy burden from UEs (which have limited battery life) to network entities (which have continuous power supply), allowing UEs to discover channels with minimal energy expenditure
Solution Approach 2:
Beacon signals act as an energy-efficient intermediary that conveys channel availability information without requiring UEs to perform power-intensive full channel measurements. The beacons carry encoded channel status information that UEs can decode with low energy consumption, maintaining channel discovery completeness while preserving battery life
3Adaptability or versatility
If system information is inaccurate or changes frequently due to primary user activity, then adaptability to spectrum changes is improved, but channel discovery efficiency deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where network entities continuously transmit beacon signals that reflect real-time channel availability status. This feedback loop allows UEs to receive updated channel information directly from the network, enabling them to adapt to spectrum changes caused by primary user activity while maintaining efficient channel discovery through the feedback-driven beacon transmissions
Data Source
AI summary
Techniques are provided for channel discovery. For example, there is provided a method operable by a mobile entity that may involve measuring beacon signals associated with the network. In one approach, the method may involve, in response to detecting an Authorized Shared Access (ASA) beacon signal on a frequency common to each network entity on a given ASA channel, extracting frequency information from the ASA beacon signal, wherein the ASA beacon signal comprises a single frequency network (SFN) beacon signal. In another approach, the method may involve, in response to detecting an ASA beacon signal on a frequency common to each network entity on a given ASA channel, extract frequency information from the ASA beacon signal, wherein timing correlates with an operating frequency for the ASA beacon signal.