Massive MIMO Resource Allocation for NLOS Relay Backhaul
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Solution Overview
Problem
In non-line of sight (NLOS) scenarios, microwave backhaul signals are severely attenuated due to blocking, preventing communication links between donor eNodeB and relay nodes, which degrades user experience and reduces system capacity in LTE-based single wide beam networks.
Innovation Solution
Implementing a resource allocation method using massive MIMO technology to perform air interface resource scheduling on relay nodes and ordinary terminal devices in different beams, increasing multiplexing degree and improving backhaul capability while minimizing impact on ordinary terminal devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If microwave backhaul is used in NLOS scenario, then point-to-point large-bandwidth transmission is achieved, but signal attenuation due to blocking prevents communication link establishment
Solution Approach 1:
The patent segments the single wide beam into multiple narrow beams, allowing the system to find unblocked paths through spatial diversity. Instead of relying on a single microwave backhaul link that is blocked in NLOS scenarios, the beam is divided into multiple directional segments that can potentially bypass obstacles.
Solution Approach 2:
The patent transitions from a two-dimensional wide beam coverage to a three-dimensional spatial multiplexing approach using multiple narrow beams at different spatial positions and angles. This dimensional expansion allows the system to exploit spatial diversity and find alternative paths around blocking obstacles.
2Adaptability or versatility
If conventional technology is implemented in LTE-based single wide beam network, then relay base transceiver station is added, but user experience in the DeNB is degraded and system capacity is reduced
Solution Approach 1:
The patent merges the backhaul transmission and access transmission into a unified resource allocation framework. By combining the scheduling of relay nodes and ordinary terminal devices under a single resource allocation scheme, the system efficiently utilizes available resources for both functions simultaneously, preventing the degradation of system capacity.
Solution Approach 2:
The patent implements dynamic resource allocation where the DeNB adaptively schedules resources for relay nodes and ordinary terminal devices based on real-time channel conditions, traffic demands, and interference levels. This dynamic approach allows the system to optimize performance and maintain high capacity while supporting relay functionality.
3Productivity
If air interface resource scheduling is performed on relay node and ordinary terminal device, then resource multiplexing degree is increased, but interference between them may occur
Solution Approach 1:
The patent applies local quality by allocating different narrow beams to relay nodes and ordinary terminal devices based on their specific spatial locations and channel characteristics. Each user receives a customized beam with optimized properties for its specific position, which minimizes interference while maximizing resource multiplexing efficiency.
Solution Approach 2:
The patent implements feedback mechanisms where the DeNB receives channel state information from both relay nodes and ordinary terminal devices, and uses this feedback to dynamically adjust beamforming weights and resource allocation. This closed-loop control enables the system to mitigate interference by adapting to changing channel conditions in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances air interface resource multiplexing, reduces interference on ordinary terminal devices, and improves the overall system capacity by optimizing resource allocation for relay nodes.
Implementation Method 1
the one or more beams are beams formed by a massive antenna array of the DeNB through air interface beamforming
Data Source
AI summary
A resource allocation method is applied to a communication system based on massive MIMO. The method includes: A donor eNodeB detects whether a target terminal exists in a donor cell, where a correlation between a wireless air interface channel of the target terminal and a wireless air interface channel of a relay node is greater than a target threshold; and if the target terminal does not exist, the donor eNodeB determines, for the relay node through resource spatial multiplexing, one or more beams used for data backhaul, where the one or more beams are beams formed by a massive antenna array of the donor eNodeB through air interface beamforming.