MIMO User Set Scheduling for Inter-Cell Interference Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multiple-input multiple-output (MIMO) communication systems, inter-cell interference and user interference reduce the sum data transmission rate, necessitating a method to optimize user scheduling and beam power control to maximize data transmission efficiency.
Innovation Solution
A communication system control apparatus and method that collects user set information, selects target user sets based on achievable sum data transmission rates, and controls beam power to maximize data transmission rates, considering inter-cell interference and user interference, by grouping users into candidate sets and scheduling transmissions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users are served simultaneously through SDMA scheme, then data transmission rate increases, but inter-cell interference and user interference increase
Solution Approach 1:
The patent segments users into different user sets based on their channel characteristics and interference profiles. By grouping users with similar channel conditions together and assigning them to specific base stations, the system reduces inter-cell interference while maintaining high data transmission rates. This segmentation allows for more granular control over resource allocation and interference management.
Solution Approach 2:
The patent applies local quality by assigning different beamforming weights and power levels to different user sets based on their specific channel conditions and interference environments. Each base station optimizes its transmission parameters locally for its assigned user sets, rather than using uniform parameters across all users. This localized optimization reduces interference while maximizing throughput for each user group.
2Productivity
If multiple base stations are deployed to support more users, then system capacity increases, but inter-cell interference increases
Solution Approach 1:
The patent introduces a coordination mechanism as an intermediary between multiple base stations. This coordination entity collects channel state information from all base stations and users, then makes centralized scheduling decisions about user set assignments and beamforming parameters. This intermediary coordination allows base stations to operate at full capacity while managing inter-cell interference through informed resource allocation decisions.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating user set groupings and beamforming weights based on channel state information before actual data transmission. This advance preparation allows base stations to be assigned optimal user sets that minimize inter-cell interference, and to pre-compute the necessary beamforming parameters, thereby enabling high system capacity while controlling interference from multiple base stations.
3Productivity
If beam power is increased to improve signal quality, then data transmission rate increases, but interference to other users increases
Solution Approach 1:
The patent implements dynamic beam power control where the transmit power for each user set is adjusted in real-time based on channel conditions, interference levels, and scheduling decisions. Rather than using fixed power levels, the system dynamically optimizes power allocation to maximize data transmission rates while keeping user interference below acceptable thresholds. This dynamic adjustment allows the system to adapt to changing conditions and balance throughput with interference control.
Solution Approach 2:
The patent changes key transmission parameters including beamforming weights, power levels, and user set assignments to optimize system performance. By adjusting these parameters based on channel state information and interference measurements, the system can increase data transmission rates for users while simultaneously reducing interference to other users through optimized parameter combinations.
Data Source
AI summary
A communication system control method, a communication system control apparatus and an apparatus for use in a communication system are provided. The communication system control apparatus includes an information collection unit to collect user set information about candidate user sets grouped by a plurality of base stations, and a scheduler to select target user sets corresponding to the plurality of base stations from among the candidate user sets based on an achievable sum data transmission rate of the plurality of base stations, and perform scheduling with respect to users included in the target user sets, the achievable sum data transmission rate being calculated based on the user set information.