RSMA Precoder Allocation for Overloaded Wireless Networks
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Solution Overview
Problem
Overloaded wireless networks with more user devices than base station antennas face challenges in channel state information (CSI) acquisition and interference management, leading to increased complexity and reduced achievable rates due to imperfect CSI and multi-user interference.
Innovation Solution
Implementing a base station that determines whether to use perfect or imperfect CSI for precoder and resource allocation in rate-splitting multiple access (RSMA) systems, allowing for efficient power, rate, and precoder allocation to serve multiple user devices with reduced complexity and latency, utilizing RSMA to manage interference and conserve resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional multiple access schemes are used in overloaded networks, then network coverage is provided, but computing resources are consumed and achievable rates are reduced due to imperfect CSI and interference management complexity
Solution Approach 1:
The patent segments the transmission into private streams and common streams, allowing different processing and interference handling strategies for each type of stream. Private streams use dedicated precoders while common streams share resources, reducing overall system complexity
Solution Approach 2:
The patent changes the parameter of channel state information quality by supporting both perfect and imperfect CSIT scenarios, with adaptive algorithms that adjust to the available CSI quality. This allows the system to optimize performance based on the actual channel knowledge available
2Measurement precision
If perfect CSIT is used for resource allocation, then optimal power and rate allocation is achieved, but computing resources are consumed
Solution Approach 1:
The patent implements dynamic resource allocation where power, rate, and precoder assignments are adjusted based on current channel conditions and quality of service requirements. This dynamic approach achieves near-optimal performance without requiring exhaustive computation for every possible scenario
Solution Approach 2:
The system adapts between perfect and imperfect CSIT modes based on actual channel conditions, changing the operational parameters to match the available information quality and reducing computing requirements when perfect CSI is not available or not necessary
3Quantity of substance
If user density is increased to meet connectivity demand, then network coverage improves, but interference management and CSI acquisition complexity increase
Solution Approach 1:
The patent creates a universal resource allocation framework that handles both perfect and imperfect CSI scenarios, as well as different user density conditions, using the same basic algorithmic structure. This multi-functionality reduces the need for separate complex processing paths
Solution Approach 2:
The patent converts the harmful effect of multi-user interference into a manageable parameter by using statistical channel state information to design precoders that actively manage interference patterns. The interference is not eliminated but controlled and exploited for system performance
Data Source
AI summary
A device may determine whether to utilize perfect channel state information at transmitter (CSIT) or imperfect CSIT, and may calculate, based on determining to utilize the perfect CSIT, a first power allocation, a first rate allocation, and a first precoder allocation for a private stream of a user device. The device may determine first parameters or second parameters for the first power allocation, the first rate allocation, and the first precoder allocation, and may generate a first transmit signal and a first data allocation based on the first power allocation, the first rate allocation, the first precoder allocation, and the first parameters or the second parameters. The device may provide the first transmit signal, with the first data allocation, to the user device via the private stream.