IoV Resource Allocation via SINR-Constrained Power Control
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Solution Overview
Problem
In high-density in-vehicle communication environments, existing technologies face challenges in effectively managing limited network capacity and reducing interference between users to ensure high-reliability, low-latency V2X communications, particularly when D2D communication reuses spectrum resources, causing interference to cellular users.
Innovation Solution
A resource allocation method is developed that establishes a channel model, allocation matrices, and SINR calculations to optimize the number of VUEs that can successfully communicate by determining transmit power and resource reuse, ensuring SINR thresholds are met while minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If D2D communication reuses spectrum resources of cellular networks, then spectrum efficiency is improved and throughput is increased, but interference to cellular users becomes more severe
Solution Approach 1:
The patent dynamically adjusts transmit power levels of V2X users based on real-time channel conditions and interference measurements. By changing the power parameter adaptively, the system maximizes spectrum utilization while keeping interference to cellular users below acceptable thresholds, thus resolving the contradiction between spectrum efficiency and interference control
Solution Approach 2:
The patent implements a feedback mechanism where cellular users report received interference levels to the base station, which then adjusts resource allocation for V2X communications. This closed-loop control ensures that spectrum resources are efficiently reused while maintaining cellular user quality of service, balancing both objectives
2Quantity of substance
If more vehicle users reuse resources of the same cellular user, then V2V communication capacity is improved, but interference to the cellular user increases
Solution Approach 1:
The patent applies different resource allocation strategies to different spatial locations and user groups. V2X users are divided into clusters based on their proximity to cellular users, and each cluster is allocated resources with tailored power control parameters. This localized approach allows more V2V communications in regions with low cellular interference while protecting cellular users in sensitive areas
Solution Approach 2:
The patent employs dynamic resource allocation where the number of V2X users reusing cellular resources is adjusted in real-time based on cellular user activity and channel conditions. When cellular users are active, fewer V2X users are allocated to those resources; when cellular resources are idle, more V2V communications are permitted, thus dynamically balancing communication capacity and interference
3Productivity
If resource allocation optimizes for maximum VUE communication, then throughput is improved, but interference management complexity increases
Solution Approach 1:
The patent divides the resource allocation problem into separate sub-problems: one for allocating frequency-time resources and another for controlling transmit power. This segmentation allows each sub-problem to be solved with simpler algorithms, reducing overall computational complexity while still achieving optimal throughput by coordinating the solutions of both sub-problems
Data Source
AI summary
A resource allocation method for IoV in a high-density in-vehicle communication environment. Establishing a channel model in the high-density in-vehicle communication environment, establishing allocation matrix A and reuse matrix for resource allocation, and calculating signal-to-noise ratio (SINR) γnv at a receive end of a vehicular user equipment (VUE) and SINR γmc at a receive end of a cellular user equipment (CUE); constructing a resource allocation model with constraints that γmc is less than specified SINR threshold γthc and γnv is less than maximum outage probability threshold po and an optimization objective of maximizing the number of VUEs that can successfully communicate in the coverage of the base station; driving and simplifying the constraints in the resource allocation model by using a series theorem; and finally heuristically solving the simplified resource allocation model, determining transmit power of VUEs, and obtaining a resource allocation method.