OFDMA Resource Allocation for 5G Wireless Capacity
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G networks, face limitations in supporting a large number of users and achieving high system capacity due to the constraints of the MU-MIMO scheme, which struggles with increased user density and requires additional resources.
Innovation Solution
The implementation of an OFDMA scheme that allows for band designation and resource allocation information transmission, enabling multiple connections and increased system capacity by supporting MU-MIMO and OFDMA on each subcarrier, thereby enhancing the number of terminals that can be supported.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MU-MIMO scheme is used to support multiple users simultaneously, then data transmission capacity is improved, but reception performance degrades in areas crowded with users
Solution Approach 1:
The patent segments the frequency band into multiple subcarriers and applies OFDMA to divide users across different frequency resources. This segmentation allows simultaneous service to multiple users while avoiding the interference problems that degrade MU-MIMO performance in crowded areas, thus maintaining both high transmission capacity and reliable reception.
Solution Approach 2:
The patent transitions from the spatial dimension approach of MU-MIMO to the frequency dimension approach of OFDMA. By allocating different subcarriers to different users in the frequency domain, the system can support multiple users simultaneously without the reception performance degradation observed in MU-MIMO dense deployments.
2Quantity of substance
If MU-MIMO scheme is used to increase number of supported users, then system capacity is improved, but additional resources are required
Solution Approach 1:
The patent creates a universal resource allocation framework where a single base station can serve multiple users across different subcarriers using OFDMA. This multi-functional approach allows the same physical resources to be dynamically allocated to different users based on demand, increasing the number of supported users without proportionally increasing device complexity.
3Productivity
If resource allocation is optimized for MU-MIMO, then transmission efficiency is improved, but ability to support densely populated areas is reduced
Solution Approach 1:
The patent implements dynamic resource allocation where the base station can flexibly assign different subcarriers to different users based on real-time channel conditions and user density. This dynamic adaptation allows the system to maintain high transmission efficiency in various scenarios, including densely populated areas, by optimizing resource distribution according to actual demand.
Data Source
AI summary
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). A terminal and method are provided for data signal transmission in a wireless communication system. The method includes receiving identification information of a band designated for the terminal; receiving a data signal generated based on resource allocation information on the band and an orthogonal frequency division multiple access (OFDMA) scheme; and demodulating and decoding the data signal based on the resource allocation information.