Distributed Antenna System Dynamic Capacity Allocation
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Solution Overview
Problem
Current distributed antenna systems (DAS) face challenges in dynamically allocating capacity and adjusting power levels across remote antenna units, leading to inefficiencies in wireless communication coverage and capacity utilization.
Innovation Solution
A distributed antenna system that includes a host unit capable of analyzing attributes such as power level, RSSI, and SINR, and correlating them with usage profiles to dynamically allocate capacity and adjust power levels among remote antenna units, ensuring optimal resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If capacity is statically allocated to remote antenna units, then system simplicity is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic capacity allocation where the host unit continuously monitors signal attributes (RSSI, RSRP, SINR) from remote antenna units and adjusts capacity allocation in real-time based on actual usage conditions. This transforms the static capacity allocation into a dynamic system that adapts to changing traffic patterns and signal conditions, thereby improving resource utilization efficiency without requiring permanent system complexity
Solution Approach 2:
The system establishes a feedback loop where remote antenna units report signal attributes to the host unit, which then adjusts capacity allocation accordingly. This closed-loop control mechanism enables automatic optimization of resource distribution based on actual system performance, resolving the contradiction between simplicity and efficiency by using intelligent feedback rather than complex predetermined configurations
2Area of stationary object
If power levels are increased at remote antenna units, then coverage area is improved, but energy consumption increases
Solution Approach 1:
The host unit dynamically adjusts power levels at remote antenna units based on real-time monitoring of signal attributes and capacity usage. When coverage requirements are met with lower power, the system reduces transmission power to conserve energy. When coverage expansion is needed, power is increased temporarily. This dynamic power management resolves the contradiction by making power consumption adaptive rather than static
Solution Approach 2:
The system changes the power level parameter of remote antenna units based on monitored conditions such as RSSI, RSRP, and SINR values. By adjusting this key parameter dynamically rather than maintaining a fixed high power level, the system achieves adequate coverage while minimizing energy consumption, thereby resolving the contradiction between coverage area and energy usage
3Reliability
If capacity is allocated to all remote antenna units uniformly, then system simplicity is maintained, but service quality for high-demand areas deteriorates
Solution Approach 1:
The patent implements non-uniform capacity allocation where different remote antenna units receive different capacity levels based on their specific performance characteristics and local demand. The host unit evaluates individual unit attributes (RSSI, RSRP, SINR) and allocates capacity accordingly, giving more capacity to units serving high-demand areas with good signal conditions and less to units in lower-priority areas. This local differentiation improves service quality without requiring system-wide complexity
Solution Approach 2:
The system changes the capacity allocation parameter for each remote antenna unit based on monitored signal attributes and usage patterns. By adjusting this parameter dynamically for each unit rather than applying a uniform allocation, the system optimizes service quality for high-demand areas while maintaining manageable complexity through automated host unit control
Data Source
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AI summary
A distributed antenna system (DAS) includes host that receives downstream signals corresponding to radio frequency (RF) channel and remote antenna units (RAUs) communicatively coupled to host. Host communicates downstream transport signal derived from downstream signals received at host to RAUs. Each RAU uses downstream transport signal to generate downstream RF signal for radiation from antenna associated with RAU. Downstream RF signal comprises a subset of plurality of downstream frequency bands. Each RAU receives upstream RF signal including respective RF channel. Each RAU communicates upstream transport signal derived from upstream RF signal to host. Host uses upstream transport signal to generate upstream signal including at least one upstream frequency band. Host analyzes attribute of downstream and upstream transport signals associated with RAUs, correlates analyzed attribute for each RAU with profile, and determines current capacity usage of RAUs based on correlation. Host dynamically allocates capacity amongst RAUs based on current capacity usage.