Distributed Multipoint Equalization for CoMP Scheduling
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Solution Overview
Problem
Coordinated multipoint (CoMP) transmission in wireless communication systems faces challenges in achieving optimal channel gains, especially in deployments with weaker transmitters and varying interference sources, where centralized scheduling techniques increase complexity and backhaul overhead.
Innovation Solution
A multipoint equalization (MPE) framework is introduced, enabling distributed scheduling decisions for CoMP transmission, reducing complexity and backhaul utilization by allowing nodes to independently schedule and compute transmission parameters based on channel state information (CSI) from user equipment (UEs), with data transmission occurring between a serving node and a subset of backhaul reporting nodes in a maximum of two backhaul hops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized scheduling techniques are used for CoMP transmission, then coordination among base stations is improved, but system complexity and backhaul overhead increase
Solution Approach 1:
The patent segments the centralized scheduling function into distributed scheduling units at each base station. Each base station independently performs scheduling decisions based on local channel state information, eliminating the need for complex centralized coordination while maintaining CoMP transmission reliability through distributed cooperation.
Solution Approach 2:
Each base station autonomously performs scheduling decisions and transmission parameter computation using locally available channel state information from UEs. This self-service approach eliminates dependency on centralized scheduling entities, reducing system complexity while maintaining coordinated transmission capabilities through direct base station cooperation.
2Reliability
If centralized scheduling techniques are used for CoMP transmission, then coordination among base stations is improved, but backhaul overhead increases
Solution Approach 1:
The patent extracts the scheduling decision-making function from the centralized controller and places it at individual base stations. This extraction eliminates the need for extensive backhaul communication for scheduling coordination, reducing backhaul overhead while maintaining effective coordination through direct transmission parameter sharing.
Solution Approach 2:
Instead of requiring complete centralized coordination for all scheduling decisions, the patent implements partial distributed scheduling where each base station makes independent scheduling decisions based on local UE channel state information. This partial action approach reduces backhaul requirements while maintaining sufficient coordination for CoMP transmission effectiveness.
3Device complexity
If distributed scheduling is implemented, then system complexity is reduced, but coordination effectiveness may deteriorate
Solution Approach 1:
The patent introduces transmission parameters as intermediary elements that mediate between distributed scheduling decisions and coordinated transmission effectiveness. Each base station computes transmission parameters locally based on its scheduling decisions and UE channel state information, then shares these parameters with cooperating base stations to ensure coordinated transmission without requiring complex centralized coordination.
Solution Approach 2:
The patent implements feedback mechanisms where base stations continuously monitor UE channel conditions and transmission effectiveness, then use this feedback to adjust local scheduling decisions and transmission parameters. This feedback loop ensures that distributed scheduling remains effective by adapting to changing channel conditions while maintaining coordination through iterative parameter optimization.
Data Source
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AI summary
Providing for a multipoint equalization (MPE) framework for coordinated multipoint (CoMP) transmission in wireless communication is described herein. The disclosed MPE framework involves distributed scheduling decisions for CoMP transmission, reducing complexity of scheduling coordination as compared with centralized scheduling techniques that coordinate scheduling decisions for multiple network base stations. Further, the MPE framework involves distributed computation of CoMP transmission coefficients, relying on a maximum of two backhaul hops to obtain information for the computation, and disseminate the transmission coefficients. The disclosed MPE framework shows substantial gains in various network deployments over conventional CoMP techniques.