Resource Allocation for Dense Small Cell Signal Stability
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Solution Overview
Problem
In dense small cell wireless communication systems, mobile terminals at cell edges face challenges with signal reception due to increased interference and limited capacity, particularly in areas where multiple base stations overlap, leading to decreased transfer rates and frequent handovers.
Innovation Solution
A resource allocation method that employs differential beamforming with varying beam widths based on signal priority, allowing base stations to allocate resources orthogonally and perform frequency hopping to minimize interference, ensuring stable signal reception even at cell edges by prioritizing and adjusting beam widths and transmit power accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple base stations transmit signals simultaneously in dense small cell structures, then system capacity and coverage are improved, but signal interference increases and reception stability deteriorates at cell edges
Solution Approach 1:
The resource allocation frame structure is segmented into multiple regions (first region, second region, third region) with different resource allocation patterns. Base stations transmit signals in these segmented regions, allowing simultaneous transmission while reducing interference through spatial and temporal separation of resources.
Solution Approach 2:
The system dynamically adjusts beam widths based on signal priority. High-priority signals use wider beam widths for better coverage and stability, while low-priority signals use narrower beam widths to reduce interference. This dynamic adaptation allows the system to maintain reliability while supporting high capacity.
2Reliability
If beamforming is applied to increase signal to noise ratio, then transmission quality is improved, but device complexity increases due to feedback information requirements
Solution Approach 1:
Different beam widths are applied to different signals based on their priority levels. High-priority signals receive wider beams with more robust transmission characteristics, while low-priority signals use narrower beams. This localized quality adjustment improves SNR for critical signals without requiring complex feedback processing for all signals.
3Reliability
If resources are allocated orthogonally by multiple base stations, then interference is reduced, but resource utilization efficiency decreases
Solution Approach 1:
The resource allocation frame structure employs periodic patterns where base stations alternate transmission in different regions. In the first region, base station 1 transmits while base station 2 listens; in the second region, base station 2 transmits while base station 1 listens. This periodic action reduces interference while maintaining high resource utilization through time-division multiplexing.
Data Source
AI summary
A resource allocation method according to the present invention may comprise the steps of: allocating a signal of an external resource to a predetermined resource according to a preconfigured resource allocation frame structure by a first base station governing a first cell; allocating a signal of an internal resource to the resource according to the resource allocation frame structure by a second base station governing a second cell adjacent to the first cell; and frequency-hopping the signal of the internal resource by the second base station when the signal of the internal resource overlaps the signal of the external resource. Accordingly, proposed is a resource allocation method capable of stably receiving a signal even when a terminal moving in a dense small cell structure is located at a cell edge, that is, an inter-cell boundary area.