Burst Allocation in Broadband Wireless Systems
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Solution Overview
Problem
Current broadband wireless communication systems, such as the IEEE 802.16 system, face challenges in efficiently allocating radio resources, particularly in scenarios where non-MIMO and MIMO bursts coexist, and in minimizing resource waste and MAP overhead, while ensuring Quality of Service (QoS) and maximizing throughput and cell coverage.
Innovation Solution
The method involves dividing the downlink period into regions based on burst properties, calculating residual symbol and subchannel sizes, and allocating bursts in a descending order, using two-dimensional or one-dimensional allocation schemes, with power boosting or deboosting, to minimize waste and optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the downlink period is divided into multiple regions according to burst property, then resource allocation efficiency is improved, but device complexity increases
Solution Approach 1:
The downlink period is segmented into multiple regions based on burst properties (MIMO/non-MIMO, HARQ/non-HARQ, power boosting/deboosting). This segmentation allows independent allocation strategies for each region, improving overall resource allocation efficiency by treating different burst types appropriately while managing complexity through structured division.
Solution Approach 2:
Different allocation qualities and strategies are applied to different regions within the downlink period. MIMO bursts receive different treatment than non-MIMO bursts, and power-boosted bursts are allocated differently from normal bursts. This local differentiation optimizes resource usage for each burst type while maintaining systematic control.
2Loss of substance
If bursts are allocated in descending order with rectangular shape optimization, then resource waste is minimized, but calculation complexity increases
Solution Approach 1:
The allocation process considers both time-axis and frequency-axis dimensions simultaneously when determining rectangular burst shapes. By optimizing in two dimensions rather than one, the method minimizes wasted resources (null padding slots) while maintaining manageable calculation complexity through systematic dimensionality handling.
Solution Approach 2:
The allocation algorithm dynamically adjusts burst parameters (size, shape, position) based on available resources and burst properties. By changing these parameters systematically in descending order of priority, the method minimizes resource waste while keeping the calculation process structured and controllable.
3Productivity
If power boosting and power deboosting are applied, then throughput and cell coverage are improved, but energy consumption increases
Solution Approach 1:
Power boosting and deboosting are applied selectively to specific bursts and regions rather than uniformly across all transmissions. MIMO bursts may receive different power treatment than non-MIMO bursts, and certain regions within the downlink period are power-boosted while others are not. This localized power management improves throughput where needed while minimizing overall energy consumption.
Data Source
AI summary
A method of allocating bursts in a broadband wireless communication system is provided. The method includes dividing a downlink period into a plurality of regions according to a burst property, calculating a residual symbol axis size and a residual subchannel axis size of a first region conforming to two-dimensional allocation among the plurality of regions, allocating bursts to be allocated to the first region in a descending order, wherein the bursts are respectively allocated in a rectangular shape having a length corresponding to the number of residual symbols along a time axis or in a rectangular shape having a length corresponding to the number of residual subchannels along a frequency axis, and allocating bursts to be allocated to at least one region conforming to one-dimensional allocation among the plurality of regions to the at least one region conforming to one-dimensional allocation according to a scheduling priority.