CoMP Terminal Interference Feedback for Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Multiple-Input Multiple-Output (MIMO) communication systems using Coordinated Multipoint (CoMP) schemes face challenges in effectively managing interference between cells, which affects the Signal to Noise Ratio (SNR) and overall system throughput in wireless communication systems like LTE.
Innovation Solution
A method and apparatus in a mobile communication terminal that estimates channel responses from interfering cells, calculates the level of interference, and produces feedback information on SNR, including preferred precoding vectors, to improve downlink transmissions by accounting for various assumptions about inter-cell coordination and precoding schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Coordinated Multipoint (CoMP) schemes are used to manage interference between cells, then system throughput is improved, but interference management complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the mobile terminal estimates channel responses from interfering cells, calculates interference levels, and reports this information back to the network. This feedback enables the network to adjust precoding vectors and coordination strategies, improving interference management efficiency while maintaining system throughput.
Solution Approach 2:
The system performs preliminary channel response estimation and interference level calculation at the mobile terminal before actual data transmission. By pre-computing these parameters and reporting them to the network, the system prepares interference management information in advance, reducing real-time processing complexity.
2Measurement precision
If channel response estimation from interfering cells is performed to calculate interference levels, then SNR accuracy is improved, but terminal processing complexity increases
Solution Approach 1:
The patent transforms the complex task of full channel state analysis into a simplified interference level calculation by changing the parameter focus from complete channel matrices to scalar interference metrics. This parameter transformation maintains SNR accuracy while reducing computational complexity at the terminal.
3Measurement precision
If multiple assumptions about inter-cell coordination and precoding schemes are considered, then feedback accuracy is improved, but calculation complexity increases
Solution Approach 1:
The system considers multiple coordination assumptions (full coordination, partial coordination, no coordination) and precoding schemes, but the mobile terminal calculates interference levels under a selected subset of these assumptions rather than all possible combinations. This partial evaluation provides sufficiently accurate feedback while limiting computational complexity.
Data Source
AI summary
A method in a mobile communication terminal includes receiving signals from a serving cell and from one or more interfering cells. Respective channel responses are estimated in the terminal for the signals received from the interfering cells. A level of interference, caused by the signals of the interfering cells to a signal received from the serving cell, is derived from the channel responses. A Signal to Noise Ratio (SNR) is calculated for the signal received from the serving cell based on the level of interference caused by the signals of the interfering cells. Feedback information is produced based on the SNR and transmitted from the terminal.