Wireless Terminal TTI Power Allocation for Low-Latency IoT
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Solution Overview
Problem
Current LTE/LTE-A systems are not equipped to handle terminals with transmission time intervals shorter than 1 ms, which are necessary for low-latency services like VoLTE and mission-critical IoT, requiring new methods for transmission and reception operations to support both general and shortened-TTI terminals in the same system.
Innovation Solution
A method where terminals receive configuration information for different transmission time intervals (TTIs) from the base station, allocate power based on TTI lengths and control information, and use 2 OFDM symbols and 7 OFDM symbols as TTIs in downlink and uplink respectively, to efficiently manage and transmit signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses a fixed 1 ms transmission time interval (TTI) as in current LTE/LTE-A systems, then the system structure is simple and stable, but it cannot support low-latency services like VoLTE and mission-critical IoT
Solution Approach 1:
The patent implements dynamic TTI length adaptation by allowing the system to flexibly switch between 1 ms TTIs for general services and shortened TTIs (e.g., 2 OFDM symbols in downlink, 7 OFDM symbols in uplink) for low-latency services. This dynamic configuration enables the system to adapt TTI duration based on service requirements, resolving the contradiction between maintaining simple system structure and supporting diverse service latencies.
Solution Approach 2:
The patent changes the TTI length parameter from a fixed 1 ms value to variable lengths depending on service type. By configuring different TTI lengths (shorter for URLLC/IoT services, standard for general services), the system can optimize latency performance for specific applications while maintaining overall system stability, thus improving service support capability without sacrificing too much adaptability.
2Loss of time
If the system supports multiple TTI lengths for different services, then low-latency services can be supported, but the system complexity increases due to different transmission and reception operations
Solution Approach 1:
The patent segments the system into different operational modes based on service type: standard 1 ms TTI operations for general services and shortened TTI operations for low-latency services. Each mode has its own transmission and reception procedures, allowing the system to handle multiple TTI lengths without requiring complete redesign of all operations. This segmentation reduces complexity by limiting the scope of special handling to only where needed.
Solution Approach 2:
The patent introduces configuration information as an intermediary mechanism that guides terminals on which TTI length to use for specific services. The base station configures and signals the appropriate TTI length to terminals through control messages, allowing terminals to adapt their transmission and reception operations without complex autonomous decision-making. This intermediary configuration approach simplifies terminal operations while enabling support for multiple TTI lengths.
3Productivity
If power is allocated without considering TTI length and control information, then power allocation is simple, but transmission efficiency for heterogeneous services is reduced
Solution Approach 1:
The patent applies local quality by differentiating power allocation strategies based on service type and TTI length. Instead of using a uniform power allocation method for all services, the system allocates power differently for shortened TTI services (like VoLTE and IoT) versus standard TTI services. This localized optimization improves transmission efficiency for each service type while maintaining manageable overall complexity through structured differentiation.
Solution Approach 2:
The patent changes the power allocation parameters to include TTI length and control information considerations. By incorporating these additional parameters into the power allocation calculation, the system can optimize power distribution according to actual transmission requirements, thereby improving transmission efficiency for heterogeneous services while the added complexity remains bounded by the structured parameter-based approach.
Data Source
AI summary
Disclosed are a communication technique of merging, with IoT technology, a 5G communication system for supporting a data transmission rate higher than that of a 4G system, and a system therefor. The disclosure can be applied to intelligent services (for example, smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security and safety related services, and the like) on the basis of 5G communication technology and IoT related technology. The present invention relates to a wireless communication system, and to a method and a device for smoothly providing a service in a communication system. More specifically, the present invention relates to a method and a device for allocating power between heterogeneous services within a communication system. To this end, the method of a terminal, of the present invention comprises the steps of receiving configuration information on different transmission time intervals (TTIs) from a base station; receiving an uplink transmission configuration using the different TTIs from the base station; and allocating power on the basis of the length of the TTIs and whether control information is transmitted.