Coordinated Resource Allocation in Distributed Antenna Systems
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Solution Overview
Problem
Distributed antenna systems face challenges in efficiently managing resource allocations and minimizing interference between neighboring remote transceivers, leading to suboptimal uplink and downlink capacity and increased interference.
Innovation Solution
A method for implementing coordinated resource allocations, where a base station establishes connections with remote transceivers and endpoints, determines resource block assignments based on neighboring transceiver schedules, and adjusts power distribution to optimize subcarrier and time slot usage, minimizing interference by shifting resource blocks and adjusting transmission power based on signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource blocks are assigned to remote transceivers without considering neighboring schedules, then the allocation process is simpler and faster, but interference between neighboring transceivers increases and uplink/downlink capacity is suboptimal
Solution Approach 1:
The base station receives neighboring transceiver schedules in advance before making resource block assignments. This preliminary action allows the base station to consider interference patterns from neighboring cells when allocating resources, enabling proactive interference avoidance rather than reactive correction, thereby increasing capacity without excessive complexity
Solution Approach 2:
The system dynamically adjusts resource block assignments based on neighboring schedules by modifying allocation parameters such as time slots and subcarriers. The base station changes these parameters to avoid overlapping resource blocks with neighboring transceivers, optimizing capacity while managing complexity through parameter-based control
2Object-affected harmful factors
If resource blocks are shifted to minimize interference, then interference between neighboring transceivers is reduced, but the complexity of determining optimal allocations increases
Solution Approach 1:
The base station uses feedback information from neighboring schedules to adjust its own resource allocations. By continuously monitoring and incorporating neighboring transceiver schedules into the allocation decision-making process, the system achieves interference reduction through a manageable feedback loop rather than complex independent optimization
Solution Approach 2:
The resource allocation problem is segmented into discrete resource blocks that can be independently assigned to different time slots and subcarriers. This segmentation allows the base station to manage interference by making granular adjustments to individual resource blocks rather than optimizing the entire spectrum simultaneously, reducing computational complexity
Data Source
AI summary
A method for implementing coordinated resource allocations includes establishing one or more wireless connections using a first channel with one or more endpoints via at least one remote transceiver. The method further includes determining a schedule that assigns a first number of resource blocks to each endpoint of the one or more endpoints. The method additionally includes receiving one or more neighboring transceiver schedules determined by one or more neighboring base stations. Each neighboring transceiver schedule indicating a different number of resource blocks assigned to each neighboring remote transceiver connected to the respective neighboring base station. The method also includes determining one or more time slots and subcarriers within the first channel to assign to each resource block for each endpoint of the one or more endpoints based on the schedule and the neighboring transceiver schedules. The method further includes determining a power distribution for each resource block for each endpoint.


