Multi-Dimension Wireless Resource Allocation Signaling
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Solution Overview
Problem
Current wireless local area networks (WLANs) face challenges in efficiently coordinating communications across multiple dimensions, including time, frequency, and space, leading to suboptimal resource allocation and interference management in multi-user scenarios.
Innovation Solution
The system determines wireless resource allocations in the time, spatial, and frequency domains to generate control frames that direct communications, using techniques such as sounding protocols and spatial multiplexing to coordinate downlink and uplink transmissions across multiple antennas and frequency sub-bands, thereby optimizing resource usage and minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional single-dimensional resource allocation is used in WLANs, then the system is simpler to implement, but resource allocation efficiency and interference management deteriorate in multi-user scenarios
Solution Approach 1:
The patent extends traditional single-dimensional resource allocation by introducing multi-dimensional resource allocation across time, frequency, and spatial domains. This is achieved through multi-user MIMO (MU-MIMO) technology that enables simultaneous transmissions to multiple users in different spatial directions, and OFDMA that allocates different frequency sub-carriers to different users, thereby improving resource allocation efficiency without excessively increasing system complexity
Solution Approach 2:
The patent segments the wireless resource space into multiple dimensions: time slots, frequency sub-carriers, and spatial streams. By dividing the available resources into these discrete segments that can be independently allocated to different users, the system achieves finer-grained resource control and improved allocation efficiency while maintaining manageable complexity through structured resource organization
2Reliability
If multi-dimensional resource allocation is implemented, then communication coordination and interference management improve, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where receiving devices send channel state information (CSI) and acknowledgment signals back to transmitting devices. This feedback enables dynamic adjustment of resource allocation, modulation and coding schemes, and spatial beamforming parameters, thereby improving communication reliability and coordination while the feedback structure itself helps manage complexity through standardized signaling protocols
Solution Approach 2:
The patent employs preliminary channel sounding and training procedures where devices exchange training signals before actual data transmission. This preliminary action allows the system to pre-determine channel characteristics, optimize spatial beamforming weights, and establish resource allocation patterns in advance, improving subsequent communication coordination while confining complexity to periodic training phases rather than continuous operation
3Productivity
If multi-user MIMO and OFDMA are used, then resource utilization improves, but signaling overhead and processing complexity increase
Solution Approach 1:
The patent merges multiple resource allocation dimensions into unified resource blocks that combine time slots, frequency sub-carrier groups, and spatial streams. By consolidating allocation information into integrated resource block assignments rather than separate signaling for each dimension, the system improves resource utilization while reducing redundant signaling overhead through combined allocation commands
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting modulation orders, coding rates, and resource block sizes based on channel conditions and user priorities. This allows the system to optimize resource utilization by adapting transmission parameters to match actual channel capacity, while the parameter adaptation itself serves as an efficient control mechanism that reduces overhead compared to fixed-parameter approaches
Data Source
AI summary
The present disclosure includes systems and techniques relating to wireless devices. A described technique includes determining wireless resource allocations (e.g., spatial wireless channel allocations, downlink slot assignments, uplink slot assignments, and frequency sub-band assignments that correspond respectively to frequency sub-bands of a frequency band) in a time domain, a spatial wireless channel domain, and a frequency domain to coordinate communications with wireless devices. The technique further includes generating and transmitting information in one or more frames that directs wireless communications based on the wireless resource allocations. The information can be configured to cause the devices to receive respective data in downlink slots via spatial wireless channels in accordance with the wireless resource allocations, and to cause the devices to transmit, concurrently, respective acknowledgement indications, in response to the respective data, in uplink slots in accordance with the wireless resource allocations. The acknowledgement indications can be assigned to different frequency sub-bands.