Subcarrier Allocation for Wireless QoS
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Solution Overview
Problem
Current wireless communication systems face challenges in optimally allocating subcarriers to meet the diverse Quality of Service (QoS) requirements of different applications, particularly in multimedia environments, where applications like VoIP and video conferencing demand specific delay and throughput specifications, while others like web browsing and FTP require different service levels.
Innovation Solution
A base station determines subcarrier allocation by considering both required and observed QoS parameters, classifying applications based on their QoS needs and using feedback bits to dynamically allocate resources in both forward and reverse link directions, ensuring optimal resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sub carriers are allocated to meet diverse QoS requirements of different applications, then QoS satisfaction is improved, but resource allocation complexity increases
Solution Approach 1:
The patent changes the parameters used for resource allocation from simple queue-length-based metrics to composite QoS parameters that include delay sensitivity, throughput requirements, and delay jitter specifications. This allows the system to allocate sub carriers based on multiple QoS dimensions simultaneously, satisfying diverse application requirements while managing complexity through parameterized decision-making
Solution Approach 2:
The patent segments the resource allocation process into distinct phases: QoS parameter determination, weighted value calculation, and sub carrier allocation. It also segments different application types (delay-sensitive, throughput-oriented, delay-insensitive) and applies different allocation strategies to each segment, making the overall complex system manageable through modular processing
2Productivity
If optimal resource allocation is implemented for multimedia applications, then application performance is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic resource allocation where sub carrier allocation is continuously adjusted based on real-time QoS observations and application performance requirements. The system dynamically determines weighted values by comparing required QoS parameters with observed QoS, enabling adaptive optimization of application performance without requiring static complex configurations
Solution Approach 2:
The patent incorporates feedback mechanisms where the base station observes actual QoS performance and uses this information to adjust future resource allocations. The weighted value calculation for each application is based on feedback from previous allocation outcomes, allowing the system to learn and optimize application performance iteratively without increasing inherent system complexity
Data Source
AI summary
Optimal allocation of a number of sub carriers to applications having diverse QoS requirements and executing on terminal devices (e.g., mobile stations). A base station (BS) considers the QoS requirements and the observed QoS for each of the applications in computing the number of sub carriers allocated to each terminal device in the forward link direction in a given time slot. For allocation in the reverse link direction, the terminal device transmits a first bit indicating whether the aggregate queue lengths (of all applications) exceeds a pre-specified threshold and a second bit indicating whether a delay bound requirement is likely to be violated in the absence of sub carrier allocation. The BS computes the number of sub carriers to be allocated in the reverse link direction based on the respective two bits received from the terminal devices.