Relay Scheduler Optimizes MIMO Capacity
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Solution Overview
Problem
Multi-relay based MIMO communication systems face challenges in maximizing system capacity and minimizing inter-relay interference (IRI) due to the complexity of selecting optimal serving relays, which affects the overall throughput of the communication system.
Innovation Solution
A base station with multiple antennas employs a relay scheduler to select serving relays based on achievable transmission capacity and channel state information, predicting effective channels and generating precoders to maximize system capacity while reducing IRI by constructing subsets of candidate relays and selecting the optimal subset for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple relays are used to expand cell coverage and transmit data to multiple users, then system coverage and connectivity are improved, but inter-relay interference increases and system capacity becomes difficult to maximize
Solution Approach 1:
The patent segments the relay selection process by dividing candidate relays into multiple subsets based on their channel characteristics and interference profiles. The base station then selects one subset to activate in each time slot, which segments the overall system operation into manageable parts and reduces inter-relay interference while maintaining coverage.
Solution Approach 2:
The patent implements dynamic relay selection where the base station adapts its relay subset choice based on real-time channel state information and interference conditions. This dynamic adjustment allows the system to optimize between coverage and interference reduction on a per-time-slot basis.
2Productivity
If the base station selects serving relays based on achievable transmission capacity and channel state information, then system capacity is maximized, but the complexity of relay selection increases
Solution Approach 1:
The patent segments the relay selection process by pre-dividing candidate relays into multiple subsets based on their channel characteristics. This segmentation reduces the complexity of evaluating all possible relay combinations while still enabling capacity optimization through systematic subset selection.
Solution Approach 2:
The patent performs preliminary classification of relays into subsets based on channel state information before actual transmission occurs. This preliminary action simplifies the real-time selection process by pre-organizing relay candidates, reducing the computational burden during dynamic relay selection.
3Adaptability or versatility
If relays transmit data in time slots to expand coverage, then cell coverage is improved, but the coordination complexity between relays increases
Solution Approach 1:
The patent segments relay operations into distinct time slots with specific subsets active in each slot. This temporal segmentation simplifies coordination by ensuring that only selected relays transmit in their designated slots, reducing interference and coordination complexity while maintaining expanded coverage.
Solution Approach 2:
The base station uses feedback mechanisms to monitor channel conditions and interference levels, then adjusts relay subset selection accordingly. This feedback loop simplifies coordination by allowing the system to adapt to changing conditions without requiring complex real-time negotiation between relays.
Data Source
AI summary
A base station with multiple antennas including a relay scheduler to select a serving relay from a plurality of candidate relays. Each candidate relay may have a user group including at least one user. The selection may be based on an achievable transmission capacity of each candidate relay with respect to its user group and a state of channels formed between the plurality of candidate relays and the base station. The base station also includes a transmission signal generator to generate a transmission signal for the user group corresponding to the serving relay.