Multicast Beamforming Scheduling for Indoor Wireless Networks
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Solution Overview
Problem
Existing wireless multicast technologies face a tradeoff between transmission rate and coverage in indoor wireless networks, limiting the ability to maximize user satisfaction while adhering to delay constraints, especially when using beamforming antennas.
Innovation Solution
A method that involves receiving channel state information from users, employing a greedy procedure for selecting beam patterns, assigning modulation and coding schemes, and scheduling video layers or resolutions to optimize multicast delivery, using a unified approximation solution with a controlling parameter to manage complexity and approximation factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the access point transmits at a high transmission rate, then the throughput for individual users is improved, but the coverage area is reduced and fewer users can receive the data
Solution Approach 1:
The patent segments the transmission into multiple beams directed toward different user locations. Each beam can operate at high transmission rates for its target users while the collective set of beams covers the entire service area. This spatial segmentation resolves the contradiction by allowing high throughput for subsets of users without sacrificing overall coverage.
Solution Approach 2:
The patent introduces spatial dimensionality through beamforming, transitioning from omnidirectional transmission to directional beam transmission. By utilizing the spatial dimension, the system can simultaneously achieve high transmission rates for specific users and maintain broad coverage through multiple beams oriented in different directions.
2Area of stationary object
If the access point chooses a rate based on the client with the worst channel condition to cover all clients, then the coverage is improved, but the multicast throughput for all other users is dramatically limited
Solution Approach 1:
The patent segments users into different groups based on their channel conditions and assigns different beams to different user groups. Users with poor channel conditions receive transmission on beams optimized for their location, while users with better channel conditions receive transmission on other beams. This allows the system to maintain broad coverage while delivering high throughput to all users simultaneously.
Solution Approach 2:
The patent applies local quality optimization by tailoring beam parameters (direction, width, power) to the specific needs of different user locations. Each beam is optimized for the local user population it serves, allowing high throughput for users with good channel conditions while maintaining coverage for users with poor channel conditions through separate beam transmissions.
3Reliability
If switched beamforming is used to enhance wireless multicast transmission, then the video quality and user satisfaction are improved, but the system complexity increases due to the need to schedule beams, MCS, and video resolution/layers
Solution Approach 1:
The patent implements dynamic beam scheduling that adapts to changing channel conditions and user locations in real-time. The system dynamically selects which beams to activate and which users to serve based on current network conditions, optimizing video quality while managing complexity through adaptive rather than static configuration.
Solution Approach 2:
The patent incorporates feedback mechanisms where users report their received signal strength and quality, and the access point uses this information to adjust beam directions, modulation schemes, and coding rates. This feedback loop enables the system to maintain high video quality while automatically optimizing the scheduling decisions to manage system complexity.
Data Source
AI summary
A method includes receiving input information related to transmission of video and data by an access point in a wireless network, the input information including at least one of setup connections, modulating and coding scheme MCS; receiving, by the access point, channel state each information from each user in the wireless network, the channel state information including signal-to-interference-and-noise-ratio SINR for each user under each beam pattern; and multicast beamform scheduling, responsive to the receiving, for multicast delivery of the video and data from the access point with beamforming antennas, the videos being at least one of a multi-resolution and a multi-layered video, the scheduling including a greedy procedure for selecting beams, assigning MCS and video layer or resolution to each of the beams.