Digital Routing Unit Dynamic Remote Unit Selection
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Solution Overview
Problem
In wireless communication systems, particularly in distributed antenna systems (DAS) for 4G and 5G networks, there is a challenge in optimizing the dynamic range and power management of remote units (RUs) connected to digital routing units (DRUs), leading to suboptimal reception quality and increased power consumption due to the inclusion of inactive RUs in signal summation and transmission processes.
Innovation Solution
Implementing a system where the DRU selectively sums uplink signals from and sends downlink signals to only those RUs that have active user equipment, using a summation circuit and extractor circuits to detect active user equipment, thereby optimizing the dynamic range and reducing power consumption by excluding inactive RUs from the signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If all remote units are included in signal summation and transmission processes, then coverage area is maintained, but power consumption increases and dynamic range optimization is compromised
Solution Approach 1:
The system dynamically adjusts the set of active remote units based on real-time detection of active user equipment. The DRU receives indication signals from RUs about UE activity and dynamically reconfigures which RUs participate in uplink signal summation and downlink signal transmission, transitioning the system from a static to a dynamic operational mode that adapts to changing traffic conditions
Solution Approach 2:
Different remote units are assigned different operational states (active or inactive) based on local conditions - specifically whether they have active user equipment. This creates local quality differentiation where only RUs with active UEs participate in signal processing, allowing the system to optimize performance locally at each RU while maintaining overall system reliability
2Device complexity
If inactive remote units are included in signal processing, then device complexity is reduced, but dynamic range optimization is compromised
Solution Approach 1:
The system changes the operational parameter of remote units from a binary state (all RUs always active) to a dynamic state (RUs activated or deactivated based on UE activity). This parameter change enables the DRU to optimize its dynamic range by adjusting the set of contributing RUs, thereby improving signal-to-noise ratio and reception quality without requiring increased device complexity
3Reliability
If selective signal summation from active remote units is implemented, then gain at DRU is improved, but system complexity increases
Solution Approach 1:
The system implements a feedback mechanism where remote units send indication signals to the DRU about the presence of active user equipment. The DRU uses this feedback information to determine which RUs should be included in uplink signal summation and downlink signal transmission, creating a closed-loop control system that automatically optimizes gain without manual intervention
Solution Approach 2:
Each remote unit autonomously monitors its own activity state and provides this information to the DRU, enabling the system to self-configure which RUs are active. This self-service approach allows the network to automatically optimize its performance without external control, reducing the need for complex centralized management while improving gain through selective signal processing
Data Source
AI summary
Systems and methods for dynamic use of remote units in a wireless communications system (WCS) include a digital routing unit (DRU) that sums incoming (uplink) signals from the remote units that have active user equipment, while suppressing signals from the remote units that do not have active user equipment. Similarly, the DRU only sends outgoing (downlink) signals to the remote units that have active user equipment. The selective summing of uplink signals improves the gain at the DRU, which allows optimization of the dynamic range of the DRU. Likewise, by selectively sending streams to the remote units, power consumption at the remote units may be reduced, which may allow for smaller, less expensive remote units to be deployed.