MIMO Resource Allocation via Submodular Optimization

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Solution Overview

Problem

Current wireless cellular networks face challenges in managing inter-cell interference due to limited backhaul bandwidth and the complexity of optimal multi-cell linear precoding design, especially in interference-limited environments, where real-time data sharing is impractical and perfect CSI is hard to achieve.

Innovation Solution

The system employs coordinated resource allocation across multiple cells, enforcing constraints such as single or dual modulation per user, identical precoding ranks, and discrete resource allocation, using sub-modular optimization techniques to optimize resource slots and minimize signaling overhead, thereby addressing the interference and complexity issues.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If optimal multi-cell linear precoding design is used to manage inter-cell interference, then interference suppression performance is improved, but computational complexity increases significantly

Engineering Contradiction:
Improveinterference suppression performanceVSAvoidcomputational complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the resource allocation problem into discrete units (resource blocks, modulation schemes, coding rates) that can be independently optimized. By breaking down the complex continuous optimization into discrete choices, the problem becomes tractable while maintaining performance benefits.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms the optimization problem by changing parameters from continuous precoding matrices to discrete modulation and coding rate selections. This parameter transformation converts a computationally intensive continuous optimization into a more manageable discrete optimization that can be solved efficiently.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If real-time data sharing and perfect CSI are assumed for coordinated processing, then resource allocation optimization is improved, but signaling overhead and system complexity increase

Engineering Contradiction:
Improveresource allocation optimizationVSAvoidsignaling overhead
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies partial coordination where base stations share only essential channel quality information rather than all data and channel state information in real-time. This partial action approach achieves sufficient optimization without the excessive signaling overhead of full coordination.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent uses preliminary channel quality estimation and pre-computed resource allocation tables that base stations can query without requiring real-time data sharing. This preliminary action allows optimized resource allocation to be achieved with minimal real-time signaling.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If discrete resource allocation constraints are imposed (single modulation, fixed rank), then implementation complexity is reduced, but optimization flexibility decreases

Engineering Contradiction:
Improveimplementation complexityVSAvoidoptimization flexibility
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent transforms the optimization problem by changing parameters from continuous precoding matrices to discrete modulation and coding rate selections. This parameter transformation converts a computationally intensive continuous optimization into a more manageable discrete optimization that can be solved efficiently.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamic resource allocation where the discrete parameters (modulation scheme, coding rate, rank) can be adjusted based on channel conditions. This dynamic adaptation maintains flexibility while operating within the simplified discrete parameter space.

Inventive Principle:
Principle #15Dynamics

4Productivity

If coordinated multi-point TX/RX is implemented to serve multiple users, then spectral efficiency is improved, but backhaul bandwidth requirements increase

Engineering Contradiction:
Improvespectral efficiencyVSAvoidbackhaul bandwidth
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent segments the coordinated processing into per-cell optimizations based on local channel quality information. Each base station independently selects optimal resources for its users based on shared channel quality metrics, eliminating the need for large amounts of backhaul bandwidth to transmit all user data and full CSI.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS8891391B2Resource allocation in mimo multi-cellular networks via submodular optimization
Publication Date: 2014.11.18 NEC CORP
  • US8891391B2 patent drawing
  • US8891391B2 patent drawing
  • US8891391B2 patent drawing

AI summary

A method to allocate resources in a wireless MIMO system, by enforcing per-cell orthogonality to avoid intra-cell interference; and allocating resources based on interference handling.