Transceiver Adaptive Power Control for Energy Efficient MIMO Communications
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Solution Overview
Problem
Current MIMO systems face challenges in energy efficiency and spectral efficiency, particularly in shared spectrum environments with increasing interference, where packet erasures and co-channel interference degrade energy efficiency and spectral efficiency.
Innovation Solution
The development of a transceiver architecture that employs multiple antenna elements with adaptive power control and interference avoidance techniques, utilizing channel state information and linear precoding to optimize energy efficiency and spectral efficiency in MIMO systems, specifically through the use of co-polarized, dual-polarized, and space-polarization MIMO architectures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO technology is used to improve spectral efficiency, then spectral efficiency is improved, but energy consumption increases
Solution Approach 1:
The patent dynamically adjusts transmission parameters including modulation order, code rate, and transmit power based on channel conditions and queue states. This allows the system to optimize the trade-off between spectral efficiency and energy consumption by adapting to varying channel quality and traffic demands, rather than operating at fixed parameters.
Solution Approach 2:
The system implements dynamic link adaptation where transmission characteristics are continuously adjusted based on real-time channel state information and buffer status. The base station monitors channel quality indicators and queue lengths to dynamically select appropriate MIMO modes, modulation schemes, and power levels, enabling the system to achieve high spectral efficiency when conditions permit while conserving energy when conditions are poor.
2Reliability
If transmit power is increased to improve reliability in packet erasure channels, then reliability is improved, but energy efficiency deteriorates
Solution Approach 1:
The system employs feedback mechanisms where the receiver reports channel state information, packet error rates, and quality metrics back to the transmitter. This feedback enables the transmitter to adjust power levels and retransmission strategies dynamically, achieving reliable packet delivery through intelligent adaptation rather than simply increasing power continuously. The feedback loop allows the system to identify when retransmissions are needed and optimize power allocation accordingly.
Solution Approach 2:
The system performs preliminary channel estimation and quality assessment before actual data transmission. By evaluating channel conditions in advance using pilot signals and training sequences, the system can pre-determine appropriate power levels and transmission parameters that will achieve the required reliability without excessive energy consumption. This preliminary action prevents wasteful over-transmission by setting optimal parameters before the actual data payload is sent.
3Use of energy by moving object
If adaptive power control is implemented to improve energy efficiency, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The adaptive power control system is divided into separate functional modules: channel estimation module, quality assessment module, power calculation module, and transmission module. Each module performs a specific function and can be independently optimized or implemented. This segmentation reduces overall system complexity by breaking down the complex adaptive power control task into manageable, specialized components that can be processed in sequence.
Solution Approach 2:
The system implements self-adjusting power control where the transmitter automatically modifies its power levels based on feedback from the receiver and pre-configured policies. The adaptive algorithms are embedded in the transmission equipment itself, eliminating the need for external control systems or manual intervention. This self-service capability reduces operational complexity while maintaining energy efficiency through automatic adaptation to changing conditions.
Data Source
AI summary
Systems and methods for performing energy efficient communication. A transceiver for use in a point-to-point packet-based communication link with packet erasures is described. The transceiver can include a data source to provide bits of data for transmission to a remote device. The transceiver can map the bits of data to symbols in a constellation according to a modulation scheme and can provide the symbols on one or more subcarriers. The transceiver can include co-located orthogonally polarized antenna elements or spatially separated antenna elements or both. The symbols can be transmitted in packets via one or more of the antenna elements. The transceiver can determine a metric of average transmit energy per bit successfully decoded, and not erased, at the remote device and can adjust transmission powers at the antenna elements to reduce the average transmit energy per successfully decoded and unerased bit.