Millimeter Wave REM Scheduling for Interference Management
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Solution Overview
Problem
The increasing demand for mobile data capacity, driven by Cooper's Law, poses challenges in efficiently managing radio frequency spectrum and reducing interference in millimeter wave (mmW) communications, particularly in densely deployed small cell networks.
Innovation Solution
The implementation of radio environment measurement (REM) scheduling and processing systems using higher frequency signals and directional transmission techniques, combined with external database information, to optimize network performance and reduce interference by determining optimal measurement slots and receiver configurations for wireless transmit/receive units (WTRUs).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If highly directional antennas are used to concentrate transmitted energy and increase signal strength, then the signal strength to intended receiver is improved, but the device complexity increases
Solution Approach 1:
The patent implements dynamic beamforming where antenna arrays electronically steer and adjust radiation patterns in real-time based on receiver location and channel conditions. This dynamic adaptation allows the system to concentrate energy toward intended receivers without requiring complex mechanical structures, resolving the contradiction between signal strength and device complexity
Solution Approach 2:
The system changes antenna array parameters (phase, amplitude, frequency) to dynamically control beam direction and width. By adjusting these parameters electronically rather than through physical reconfiguration, the system achieves high directional gain while keeping the antenna structure itself relatively simple
2Object-generated harmful factors
If measurement schedules are implemented to coordinate sounding signal transmissions, then interference between nodes is reduced, but the loss of time for scheduling and coordination increases
Solution Approach 1:
The patent implements preliminary measurement scheduling where measurement opportunities are pre-configured and announced in advance through system information blocks. Nodes prepare their measurement schedules beforehand based on predicted traffic patterns and channel conditions, reducing the need for real-time coordination and minimizing scheduling overhead time
Solution Approach 2:
The system employs periodic measurement opportunities at predetermined intervals where nodes perform sounding signal measurements. This periodic structure allows for efficient resource allocation and reduces scheduling complexity by establishing regular measurement patterns rather than requiring continuous coordination
Data Source
AI summary
Systems, methods, and instrumentalities are provided to implement a method for radio environment, measurement (REM) scheduling, information extraction, storage and processing to generate terrain and object mapping/identification using higher frequency radio signals, directional transmission techniques and external database information. Described are wireless transmit/receive units (WTRUs) comprising a processor configured to, when the WTRU is in an idle state, receive a common control channel from a millimeter wave base station (mB), decode a measurement schedule included in the common control channel, wherein the measurement schedule includes one or more slots during which sounding signals will be sent, and, determine a slot during which the WTRU is available to measure a sounding signal, and, when the WTRU is in a connected state, receive a dedicated control channel from a millimeter wave base station (mB), decode a measurement schedule and a receiver configuration included in the dedicated control channel, wherein the measurement schedule and the receiver configuration are specific to the WTRU, and wherein the measurement schedule includes one or more slots during which sounding signals will be sent, and determine a slot during which the WTRU is available to measure a sounding signal.


