Resource allocation in a wireless communication system
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Solution Overview
Problem
Existing wireless communication systems face interference issues due to narrow-band interference, which can degrade system performance by requiring lower modulation rates and stronger error correction, leading to inefficiencies.
Innovation Solution
Implementing a resource allocation method in an orthogonal frequency division multiple access (OFDMA) system that dynamically adjusts transmission modes based on sub-channel conditions, using full-band or OFDMA transmission depending on interference levels, and scheduling data across sub-channels to maintain quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full-band OFDM transmission is used, then system bandwidth utilization is improved, but narrow-band interference degrades transmission reliability
Solution Approach 1:
The patent divides the full-band OFDM transmission into multiple sub-channels (sub-bands). By segmenting the frequency spectrum, the system can identify and exclude sub-channels affected by narrow-band interference while maintaining transmission on clean sub-channels. This resolves the contradiction by preserving bandwidth utilization through selective sub-channel usage while improving reliability by avoiding interfered portions.
Solution Approach 2:
The patent applies different transmission qualities to different sub-channels based on their individual interference conditions. Each sub-channel is assessed for interference presence, and transmission parameters (such as modulation and coding scheme) are adjusted locally for each sub-channel. This allows the system to maintain high reliability on clean sub-channels while managing interfered sub-channels appropriately, thus resolving the contradiction between overall bandwidth utilization and transmission reliability.
2Reliability
If lower modulation rate and higher redundancy FEC coding are used, then transmission reliability is improved, but system performance deteriorates
Solution Approach 1:
The patent applies different modulation and coding schemes to different sub-channels based on their interference conditions. Sub-channels without narrow-band interference can use higher modulation rates and lower redundancy, maintaining high system performance. Only sub-channels affected by interference require more conservative parameters. This local adaptation resolves the contradiction by achieving reliability only where needed rather than uniformly across all sub-channels.
Solution Approach 2:
The patent dynamically changes transmission parameters (modulation order, coding rate) for different sub-channels based on detected interference conditions. By adjusting these parameters locally rather than using a uniform conservative setting across the entire bandwidth, the system achieves the necessary transmission reliability on interfered sub-channels while maintaining high performance on clean sub-channels, thus resolving the contradiction.
3Reliability
If OFDMA resource allocation is implemented, then interference resilience is improved, but device complexity increases
Solution Approach 1:
The patent implements OFDMA by dividing the frequency spectrum into multiple sub-channels and allocating them to different users based on interference conditions. The complexity is managed by creating a systematic sub-channel assessment and allocation mechanism that automatically identifies suitable sub-channels for each user. This structured approach improves interference resilience through frequency-selective allocation while keeping device complexity manageable through automated resource management algorithms.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors sub-channel conditions and adjusts resource allocation accordingly. Users provide feedback about their channel quality, and the base station uses this information to dynamically reallocate sub-channels. This feedback-driven approach improves interference resilience by adapting to changing conditions while managing complexity through iterative optimization rather than exhaustive search.
Data Source
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AI summary
Embodiments of methods and apparatuses for resource allocation in a wireless communication system are disclosed. In one embodiment, a method of wireless communication comprises obtaining data to be transmitted over a plurality of sub-channels in a wireless communication environment, determining channel conditions associated with the plurality of sub-channels, scheduling the data to be transmitted according to the channel conditions associated with the plurality of sub-channels to form scheduled data for transmission, and transmitting the scheduled data to one or more receivers via the plurality of sub-channels. The method of determining channel conditions associated with the plurality of sub-channels comprises determining interference observed at each sub-channel in the plurality of sub-channels.