Cellular Network Resource Allocation for Spectral Efficiency
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Solution Overview
Problem
Current resource allocation techniques in cellular networks, such as Hybrid In-Band Full Duplex (HICN), face challenges in maximizing sum spectral efficiency (SE) due to limitations in obtaining UE-to-UE Sidelink Channel State Information (CSI), high computational complexity, and inefficiencies in frequency sharing among UEs, leading to suboptimal data throughput and network capacity.
Innovation Solution
Implementing location-aware techniques to estimate UE-to-UE Sidelink CSI without additional computational overhead, using an adjacency matrix to identify optimal UE groups for frequency sharing, and leveraging correlation coefficients to monitor changes and adjust resource allocations, thereby reducing computational load and enabling efficient frequency sharing among UEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current resource allocation techniques are used in HICN, then backward compatibility with legacy UEs is maintained, but sum spectral efficiency is suboptimal
Solution Approach 1:
The patent segments UEs into different groups (first set and second set) based on their duplexing capability. First set UEs use in-band full duplex while second set UEs use half duplex, allowing the system to maintain compatibility with legacy devices while enabling advanced functionality for capable devices, thereby improving overall spectral efficiency without sacrificing backward compatibility
Solution Approach 2:
The patent applies different resource allocation strategies to different UE groups based on their local characteristics. Frequency resources are allocated differently to first set UEs compared to second set UEs, optimizing the allocation for each group's specific capabilities and interference characteristics, which improves sum spectral efficiency while maintaining system compatibility
2Productivity
If frequency sharing is implemented among UEs, then sum spectral efficiency improves, but obtaining accurate UE-to-UE Sidelink CSI becomes difficult
Solution Approach 1:
The patent introduces the base station as an intermediary to obtain Sidelink CSI. Instead of requiring direct UE-to-UE measurements, the base station estimates the CSI by utilizing Uplink Channel State Information and Downlink Channel State Information that are already available through standard cellular procedures, thereby avoiding the difficulty of direct sidelink measurement
Solution Approach 2:
The patent replaces direct physical measurement mechanisms with information processing mechanisms. Rather than requiring actual sidelink channel measurements between UEs, the system substitutes this with processing existing uplink and downlink CSI data at the base station to derive the necessary frequency sharing information
3Productivity
If optimal frequency sharing is achieved through exhaustive search, then sum spectral efficiency is maximized, but computational complexity becomes prohibitively high
Solution Approach 1:
The patent applies a greedy algorithm that makes partial assignments of frequency resources rather than attempting to optimize all assignments simultaneously. The algorithm iteratively assigns frequencies to UEs based on current best estimates, achieving good spectral efficiency with significantly reduced computational complexity compared to exhaustive search methods
Solution Approach 2:
The patent implements a dynamic resource allocation approach where frequency assignments are updated iteratively based on current channel conditions and UE requirements. The algorithm adapts to changing network conditions in real-time, achieving optimal spectral efficiency through dynamic adjustments rather than static exhaustive optimization
Data Source
AI summary
Techniques are disclosed for increasing the sum spectral efficiency (SE) of cellular networks including Hybrid In Band Full Duplex (IBFD) cellular networks. These techniques include using various constraints to identify UEs that qualify to be included as part one or more frequency sharing groups. The qualification process may use, as one of the constraints, a distance between served UEs such that UEs that are too close to one another are disqualified. The UE frequency sharing groups may include at least two UEs that use the same shared frequency as an upload channel frequency one UE as the other UE uses for a downlink channel frequency. Techniques are also disclosed for the allocation of frequencies and to determine when the current groupings and/or allocated frequencies are invalid.