Dynamic Bandwidth Allocation in Distributed Antenna Networks
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Solution Overview
Problem
Current distributed antenna systems lack dynamic on-demand bandwidth allocation capabilities between base transceiver stations and antennas, leading to inefficient use of bandwidth due to static allocation methods that do not adapt to varying traffic loads across different locations and times.
Innovation Solution
Implementing a system with a Capacity Allocation Controller that monitors bandwidth demand across multiple antennas and dynamically adjusts bandwidth allocation using technologies like SONET, MPLS, or packet networks to ensure efficient use of communication links, allowing for increased or decreased bandwidth based on demand, and maintaining excess capacity to prevent congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static bandwidth allocation is used between BTS and antennas, then device complexity is reduced and ease of operation is improved, but bandwidth utilization efficiency deteriorates and capacity is wasted during low-demand periods
Solution Approach 1:
The patent implements dynamic bandwidth allocation where the transport distribution element continuously monitors traffic load on multiple BTSs and adjusts bandwidth allocation in real-time based on actual demand. This allows the system to adapt bandwidth resources dynamically rather than maintaining fixed allocations, thereby improving bandwidth utilization efficiency during both peak and low-demand periods.
Solution Approach 2:
The system employs feedback mechanisms where the transport distribution element receives traffic load information from multiple BTSs, processes this information, and adjusts bandwidth allocation accordingly. This closed-loop control enables the system to respond to changing traffic conditions and optimize bandwidth utilization based on actual network demand.
2Reliability
If static bandwidth allocation is deployed to address maximum demand at every location, then service reliability is improved during peak periods, but bandwidth capacity is wasted during low-demand periods
Solution Approach 1:
The patent implements dynamic bandwidth allocation where the transport distribution element continuously monitors traffic load on multiple BTSs and adjusts bandwidth allocation in real-time based on actual demand. This allows the system to adapt bandwidth resources dynamically rather than maintaining fixed allocations, thereby improving bandwidth utilization efficiency during both peak and low-demand periods.
Solution Approach 2:
The system changes the bandwidth allocation parameter dynamically based on traffic load conditions. During peak demand periods, bandwidth is increased to maintain service reliability, while during low-demand periods, bandwidth is reduced to eliminate capacity waste. This parameter adjustment is controlled by the transport distribution element based on real-time load monitoring.
3Productivity
If dynamic bandwidth allocation is implemented among multiple BTSs and antennas, then bandwidth utilization efficiency is improved and capacity is optimized, but device complexity and control mechanisms increase
Solution Approach 1:
The patent introduces a transport distribution element as an intermediary between multiple BTSs and the antenna system. This intermediary component centralizes the bandwidth allocation control functions, monitoring traffic loads from multiple BTSs and managing bandwidth distribution to antennas. By concentrating control in this intermediary element, the system achieves dynamic bandwidth allocation without requiring complex distributed control mechanisms at each BTS or antenna.
Data Source
AI summary
A system, method and computer-readable medium for sharing bandwidth resources among a plurality of antennas in a network of base transceiver stations are provided. According to the method, a bandwidth allocation of each of a plurality of antennas is determined, and a bandwidth demand on each of the plurality of antennas is monitored. If the bandwidth demand of one or more of the antennas exceeds a first threshold, the bandwidth allocation of those antennas is increased, based upon the bandwidth demand. If the bandwidth demand of another one or more of the antennas drops below a second threshold, the bandwidth allocation of those antennas is decreased. Accordingly, the bandwidth resources available to the network of antennas may be dynamically allocated, based upon the bandwidth demand in the network.