BWP Resource Allocation Using RIV Mapping Across Wider RB Sets
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently transmitting and receiving signals, particularly in cellular networks, due to resource shortages and high-speed service demands.
Innovation Solution
The proposed solution involves optimizing resource allocation methods in wireless communication systems, including dynamic slot configurations and flexible symbol usage, utilizing semi-static and dynamic signaling for efficient data transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic TDD slot configuration is used to adapt to varying traffic demands, then resource allocation efficiency is improved, but system complexity increases due to semi-static and dynamic signaling requirements
Solution Approach 1:
The patent implements dynamic TDD slot configuration where the base station can flexibly adjust the number and type of OFDM symbols in each slot based on real-time traffic conditions. This dynamic adaptation allows the system to optimize resource allocation for varying uplink and downlink traffic demands, resolving the contradiction between efficiency and complexity by making the system adaptable rather than static
Solution Approach 2:
The patent changes the parameter of slot configuration from fixed to variable, allowing the number of OFDM symbols per slot to be dynamically adjusted according to traffic conditions. This parameter change enables the system to improve resource allocation efficiency while managing complexity through controlled flexibility
2Productivity
If millimeter wave band is used to achieve high data transfer rate, then throughput is improved, but transmission distance decreases due to path loss
Solution Approach 1:
The patent employs multiple parameter changes including beamforming to focus energy in specific directions, massive MIMO to increase antenna elements, and advanced modulation schemes like FQAM and SWSC to optimize the trade-off between data rate and transmission distance in the mmWave band
3Productivity
If advanced coding modulation schemes are used to enhance spectral efficiency, then network throughput is improved, but device complexity increases
Solution Approach 1:
The patent introduces advanced coding modulation schemes including hybrid FSK and QAM modulation (FQAM) and sliding window superposition coding (SWSC). These schemes change the modulation parameters to achieve higher spectral efficiency while managing device complexity through structured coding approaches
4Reliability
If cloud RAN and ultra-dense network are deployed to improve network coverage, then service reliability is improved, but infrastructure complexity and cost increase
Solution Approach 1:
The patent implements cloud RAN architecture where multiple base stations share common processing resources in the cloud, enabling ultra-dense network deployment. This multi-functionality approach allows the same infrastructure to serve multiple cells, improving network coverage and reliability while managing infrastructure complexity through resource sharing
Data Source
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AI summary
Disclosed are a UE of a wireless communication system and a wireless communication method using the same. More particularly, the method including receiving scheduling information including resource allocation information, wherein the resource allocation information comprises a RIV determined based on the number of RBs of a first BWP, and transmitting or receiving data on a RB set corresponding to the RIV in a second BWP, wherein the number of RBs of the second BWP is greater than the number of RBs of the first BWP, the starting RB index S and the number of RBs of the RB set corresponding to the RIV in the second BWP are given in powers of 2 and a device for the same are disclosed.