MIMO Resource Reallocation for Asymmetric Data Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing MIMO systems are inefficient in managing asymmetric data stream loads across multiple antennas, leading to suboptimal resource utilization and increased operational costs, particularly in LTE systems.
Innovation Solution
The method involves detecting asymmetric conditions in data streams and reallocating a subset of time-frequency resources to optimize resource usage, reducing power consumption and improving spectral efficiency by adapting modulation and demodulation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If symmetric resource allocation is used in MIMO systems, then device complexity is reduced and ease of operation is improved, but resource utilization efficiency deteriorates when data stream loads are asymmetric
Solution Approach 1:
The patent implements dynamic resource allocation where the network controller continuously monitors data stream loads across multiple antennas and adjusts time-frequency resource allocation in real-time. When asymmetric conditions are detected, the system dynamically reconfigures resource distribution to match actual traffic demands, transitioning from static symmetric allocation to adaptive asymmetric allocation based on current system state
Solution Approach 2:
The system changes the allocation parameters of time-frequency resources based on detected asymmetry in data stream loads. The network controller modifies resource allocation parameters dynamically, adjusting the amount of time-frequency resources assigned to each antenna according to its current data stream load, thereby optimizing resource utilization while maintaining system operability
2Use of energy by moving object
If full time-frequency resources are allocated to all antennas, then spectral efficiency is maximized, but power consumption increases unnecessarily when some antennas have low data stream loads
Solution Approach 1:
The patent applies local quality optimization by allocating different amounts of time-frequency resources to different antennas based on their individual data stream loads. Instead of uniform resource distribution, each antenna receives resources proportional to its actual traffic needs, creating a non-uniform resource allocation pattern that matches local traffic conditions at each antenna location
Solution Approach 2:
The system implements partial resource allocation where antennas with low data stream loads receive only the necessary subset of time-frequency resources rather than full allocation. This partial action approach prevents wasteful power consumption on underutilized antennas while maintaining sufficient resources for high-load antennas, achieving energy efficiency without severely compromising overall spectral efficiency
3Loss of energy
If asymmetric resource allocation is implemented, then resource utilization and power efficiency are improved, but system complexity and signaling overhead increase
Solution Approach 1:
The patent introduces a network controller as an intermediary that centralizes the complexity of asymmetric resource allocation. The controller monitors data stream loads, determines optimal resource distribution, and manages the asymmetric allocation process, isolating the computational complexity from the individual transceivers and antennas while maintaining overall system efficiency
4Productivity
If symmetric modulation and demodulation processes are used, then ease of operation is maintained, but spectral efficiency deteriorates when data stream loads differ significantly among antennas
Solution Approach 1:
The patent implements dynamic adaptation of modulation and demodulation processes based on detected asymmetry in data stream loads. When asymmetric conditions are identified, the system dynamically adjusts signal processing parameters and resource allocation to optimize spectral efficiency, transitioning from static symmetric processing to adaptive asymmetric processing that responds to real-time traffic conditions
Data Source
AI summary
Methods and apparatus adapted to address asymmetric conditions in a multi-antenna system. In one embodiment, the multi-antenna system comprises a wireless (e.g., 3G cellular) multiple-input, multiple-output (MIMO) system, and the methods and apparatus efficiently utilize transmitter and receiver resources based at least in part on a detected asymmetric condition. If an asymmetric condition is detected by the transmitter on any given data stream, the transmitter can decide to utilize only a subset of the available resources for that stream. Accordingly, the signal processing resources for that data stream are adapted to mirror the reduction in resources that are necessary for transmission. The transmitter signals the receiver that it will only be using a subset of the resources available, and the receiver adapts its operation according to the signaling data it receives. The multi-antenna system can therefore reduce power consumption as well as increasing spectral efficiency on the network.