Coherence Block SRS Scheduling for Uplink Coverage and Capacity
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Solution Overview
Problem
In wireless communication networks, especially where spectrum is limited or deficient, existing technologies face challenges in efficiently managing and expanding capacity to serve growing user bases without overloading the network, particularly in areas with inadequate uplink (UL) coverage in higher frequency bands.
Innovation Solution
The implementation of massive multiple-input-multiple-output (MIMO) technology using aggregated modular adaptive antenna arrays, which leverage lower frequency bands for improved UL signaling and capacity, and selectively apply Mu-MIMO for UEs with large coherence blocks, while using Su-MIMO for non-stationary UEs, to maximize coverage and capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If massive MIMO with aggregated modular adaptive antenna arrays is implemented, then uplink capacity and coverage are improved, but device complexity and network configuration difficulty increase
Solution Approach 1:
The antenna array is divided into multiple modular adaptive antenna arrays that can be independently configured and managed. Each module can be selectively activated based on channel conditions and user requirements, transforming a single complex system into multiple manageable units that collectively provide massive MIMO functionality.
Solution Approach 2:
The system dynamically selects between single-user MIMO and multi-user MIMO modes based on channel coherence properties. The adaptive antenna arrays adjust their configuration and beamforming parameters in real-time according to channel conditions, user mobility, and spectrum availability, optimizing performance while managing complexity through intelligent adaptation rather than static complex architecture.
2Productivity
If multi-user MIMO is applied to UEs with large coherence blocks, then spectral efficiency is improved, but coverage is reduced for non-stationary UEs
Solution Approach 1:
Different MIMO modes are applied to different user groups based on their channel characteristics. Stationary or slow-moving UEs with large coherence blocks receive multi-user MIMO service for high spectral efficiency, while mobile UEs with small coherence blocks receive single-user MIMO service to maintain coverage. This localized optimization ensures each user group receives the most appropriate service mode for their conditions.
Solution Approach 2:
The system changes operational parameters dynamically by switching between Su-MIMO and Mu-MIMO modes based on channel coherence block size. This parameter adaptation allows the network to optimize spectral efficiency for suitable users while maintaining coverage for others, resolving the contradiction between efficiency and coverage through conditional mode selection.
3Area of stationary object
If lower frequency bands are used for uplink signaling, then coverage and capacity are improved, but available spectrum is reduced
Solution Approach 1:
The system merges multiple frequency bands and antenna arrays into a unified massive MIMO system. Lower frequency bands are utilized for uplink signaling to extend coverage, while upper frequency bands are used for downlink and capacity-critical services. The aggregated modular antenna arrays combine signals across bands, achieving both coverage extension and capacity maintenance through spectrum aggregation and spatial multiplexing.
Solution Approach 2:
The system transitions from relying solely on frequency dimension for capacity to utilizing the spatial dimension through massive MIMO. By deploying multiple antenna arrays and exploiting spatial multiplexing, the system can maintain capacity while using lower frequency bands for coverage extension. This dimensional shift allows simultaneous achievement of wide coverage and high capacity without requiring additional spectrum in any single band.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a coherence time for a user equipment (UE), identifying a coherence bandwidth for the UE, determining a coherence block based on the coherence time and the coherence bandwidth, and, based on a first determination that the coherence block satisfies a threshold, permitting the UE to transmit sounding reference signal (SRS) data over a smaller SRS bandwidth that is smaller than a default SRS bandwidth, at a lower periodicity that is lower than a default periodicity, or a combination thereof, thereby conserving power resources of the UE. Other embodiments are disclosed.