Reconfigurable Baseband Unit Architecture for 5G Signal Processing
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Solution Overview
Problem
Current methodologies for processing 5G wireless communications lack standardized approaches, leading to complexity and inefficiency due to hardware-implementation specificity, and the lead time for designing and manufacturing hardware platforms is significant, making it difficult to adapt to dynamic processing needs in both cloud computing networks and existing wireless structures.
Innovation Solution
A reconfigurable hardware platform that allocates processing units dynamically between baseband units (BBUs) and remote radio heads (RRHs) using a reconfigurable architecture, allowing for flexible implementation of wireless processing stages across multiple standards and protocols, such as 5G wireless protocols, by mixing coefficient data with input data to generate intermediate or output data streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customized signal processing methods are implemented using hardware platforms like ASIC, FPGA, or SoC, then processing reliability is improved, but device complexity and manufacturing lead time increase
Solution Approach 1:
The patent implements dynamic signal processing by using a digital signal processor that can be reconfigured through software instructions rather than fixed hardware. The processor dynamically adjusts filtering parameters, interference suppression settings, and processing algorithms based on real-time environmental conditions at the base station, eliminating the need for multiple specialized hardware platforms while maintaining processing reliability
Solution Approach 2:
The patent employs a universal digital signal processing platform that can handle multiple wireless communication standards and protocols (including 5G) through software configuration. A single processor type can be deployed across different base stations and configured via instructions to perform various signal processing tasks, replacing the need for customized ASICs or FPGAs for each specific application
2Manufacturing precision
If specialized hardware is designed for each signal processing portion, then processing precision is improved, but ease of manufacture and adaptability deteriorate
Solution Approach 1:
The patent achieves high signal processing precision through dynamic software-controlled algorithms that can be optimized and updated without hardware changes. The digital signal processor executes precision-critical operations through programmable instructions that can be fine-tuned based on environmental parameters, maintaining manufacturing simplicity while achieving the required processing accuracy
Solution Approach 2:
The patent adjusts processing parameters such as filtering coefficients, gain settings, and algorithm selection through software instructions rather than hardware modifications. This allows precise control over signal processing quality while maintaining a standardized, easily manufacturable hardware platform that can be deployed universally across different base stations
3Reliability
If hardware platforms are designed with long lead times, then manufacturing reliability is improved, but adaptability to new standards deteriorates
Solution Approach 1:
The patent implements a dynamically reconfigurable digital signal processor that can adapt to new wireless standards and protocols through software updates. The standardized hardware platform with programmable architecture allows rapid deployment of new standards like 5G without requiring new hardware design cycles, maintaining manufacturing reliability while achieving high adaptability to evolving communication requirements
4Productivity
If multiple specialized hardware platforms are used for different processing stages, then processing speed is improved, but device complexity increases
Solution Approach 1:
The patent achieves high signal processing speed through a single digital signal processor that dynamically allocates processing resources and optimizes execution paths based on real-time conditions. The processor can switch between different processing modes and algorithms dynamically, maintaining high throughput without requiring multiple specialized hardware platforms, thus avoiding the complexity of coordinating multiple devices
Data Source
AI summary
Examples described herein include systems and methods which include wireless devices and systems with examples of configuration modes for baseband units (BBU) and remote radio heads (RRH). For example, a computing system including a BBU and a RRH may receive a configuration mode selection including information indicative of a configuration mode for respective processing units of the BBU and the RRH. The computing system allocates the respective processing units to perform wireless processing stages associated with a wireless protocol. The BBU and/or the RRH may generate an output data stream based on the mixing of coefficient data with input data at the BBU and/or the RRH. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.