Wireless Communication Resource Allocation for Flexible Subcarrier Spacing
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Solution Overview
Problem
Current wireless communication systems, such as LTE and emerging New Radio (NR) standards, face limitations in flexibility and efficiency, particularly in managing multiple cells and component carriers, which affect communication performance across various scenarios like enhanced Mobile BroadBand, massive Machine Type Communication, and Ultra Reliable and Low Latency Communication.
Innovation Solution
The implementation of a wireless communication system that utilizes Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP-OFDM) in downlink and Discrete Fourier Transform-spread-OFDM (DFT-s-OFDM) in uplink, along with advanced resource grid configurations and carrier aggregation, to enhance communication flexibility and efficiency by optimizing subcarrier-spacing, CP configurations, and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional communication structures are used, then system simplicity is maintained, but communication flexibility and efficiency are limited
Solution Approach 1:
The patent implements dynamic resource allocation where the base station configures multiple resource pools with different parameters (subcarrier spacing, cyclic prefix lengths, time slot structures) and dynamically selects appropriate resources based on service requirements. This allows the system to adapt communication parameters in real-time without requiring a completely new system architecture, thus improving flexibility while controlling complexity through structured resource management.
Solution Approach 2:
The patent changes key communication parameters including subcarrier spacing (15kHz, 30kHz, 60kHz), cyclic prefix configurations (normal and extended), and resource allocation patterns to optimize performance for different scenarios. By providing multiple parameter configurations and allowing dynamic selection, the system achieves versatility across eMBB, mMTC, and URLLC scenarios without fundamentally redesigning the communication structure.
2Productivity
If resource allocation is optimized for specific scenarios, then communication efficiency improves, but system adaptability to diverse scenarios decreases
Solution Approach 1:
The patent creates a universal resource pool structure where each resource pool can be configured with different parameters suitable for specific scenarios (eMBB, mMTC, URLLC), yet all pools operate within the same framework. The base station can allocate resources from different pools based on service type, allowing a single system to efficiently handle multiple scenarios without requiring separate dedicated systems for each application.
Solution Approach 2:
The patent segments the available time-frequency resources into multiple distinct resource pools, where each pool is optimized for specific communication requirements. For example, some pools use larger subcarrier spacing for low-latency URLLC traffic, while others use smaller spacing for high-throughput eMBB traffic. This segmentation allows efficient scenario-specific communication while maintaining overall system adaptability through unified resource management.
3Reliability
If multiple resource pools with different parameters are configured, then scenario-specific optimization improves, but resource management complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the base station monitors resource utilization and communication performance across different resource pools, and adjusts resource allocation decisions based on this feedback. The UE also provides feedback about channel conditions and resource reception quality, enabling the base station to optimize resource pool configuration and allocation dynamically, thereby managing complexity through intelligent control rather than static rigid structures.
Solution Approach 2:
The base station acts as an intermediary that manages the complexity of multiple resource pools by making centralized allocation decisions. It translates high-level service requirements into specific resource pool selections and parameter configurations, shielding the complexity from both the network management layer and the user equipment. This intermediary role simplifies the overall system by providing a single point of control for multi-parameter resource management.
Data Source
AI summary
Terminal device comprising; MAC layer control circuitry configured to manage a first timer for a HARQ process and a second timer for the HARQ process which starts with expiry of the first timer, and reception circuitry configured to receive a first PDCCH indicating a first transmission of a HARQ-ACK feedback for a transport block for the HARQ process and a second PDCCH indicating a second transmission of a second HARQ-ACK feedback for the transport block for the HARQ process where the second transmission occurs later than the first transmission, wherein, the MAC layer control circuitry configured to start the first timer for the HARQ process at a timing of the first transmission, the MAC layer control circuitry configured to start or restart the first timer for the HARQ process at a timing of the second transmission.