Resource Distribution in Cooperative Cognitive SIMO Networks
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Solution Overview
Problem
Existing cognitive radio access methods face challenges in achieving high throughput and efficient resource distribution in cooperative relay-based cognitive SIMO networks while ensuring the target transmission rate of the primary user.
Innovation Solution
A resource distribution method that involves broadcasting cooperation requests, estimating channel state information, adjusting transmission power and power distribution factors, and performing beamforming to maximize throughput in the cognitive SIMO network while maintaining the target transmission rate of the primary user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If interference temperature-based spectrum sharing is used to allow cognitive network and primary user to simultaneously use the same licensed frequency band, then spectrum utilization efficiency is improved, but transmission power of cognitive network must be controlled within interference temperature boundary which limits network coverage range and communication performance
Solution Approach 1:
The patent introduces a cooperative relay station as an intermediary between cognitive users and the cognitive base station. This relay station receives signals from cognitive users, performs signal processing and forwarding, thereby extending the effective coverage range without increasing transmission power beyond interference temperature boundaries. The relay acts as a mediator that amplifies and extends the reach of cognitive network signals.
Solution Approach 2:
The patent transitions from direct single-hop transmission to multi-hop relay transmission, adding a spatial dimension to the communication path. By introducing intermediate relay stations at different geographical locations, the system creates multiple transmission paths and extends coverage area without increasing power consumption, effectively utilizing the spatial dimension to overcome the coverage limitation.
2Area of stationary object
If transmission power is increased to extend network coverage in cognitive SIMO network, then network coverage range is improved, but interference to primary user increases and spectrum sharing capability deteriorates
Solution Approach 1:
The patent segments the transmission path into multiple hops through cooperative relay stations. Instead of one high-power transmission from cognitive users directly to base station, the signal is broken into multiple lower-power transmissions through intermediate relays. This segmentation allows coverage extension while keeping each individual transmission's interference level below the primary user's interference temperature boundary.
Solution Approach 2:
Cooperative relay stations serve as intermediaries that receive, process, and forward signals. These relays enable the system to extend coverage by adding transmission stages rather than increasing power at each stage. The intermediaries effectively decouple coverage range from transmission power, allowing the system to expand geographically without generating harmful interference to primary users.
3Productivity
If resource distribution is optimized to maximize throughput in cognitive SIMO network, then network throughput is improved, but system complexity increases due to channel state information estimation and coordination requirements
Solution Approach 1:
The patent implements preliminary channel state information estimation and resource allocation decisions before actual data transmission. The base station and relay stations perform channel estimation, determine optimal resource distribution, and establish transmission parameters in advance. This preliminary action simplifies the real-time transmission process and reduces the computational complexity during active communication phases.
Solution Approach 2:
The system implements feedback mechanisms where channel state information is continuously estimated and reported back to the base station. This feedback enables dynamic resource distribution optimization while maintaining manageable complexity through structured information exchange protocols. The feedback loop allows the system to adapt to changing conditions without requiring complex real-time calculations at each transmission moment.
Data Source
AI summary
A resource distribution method for throughput maximization in a cooperative cognitive SIMO network. The primary user sends data after receiving a cooperation confirmation message, and the cognitive network keeps silent, receives the information data of the primary user and simultaneously decodes the data. The cognitive users which successfully decode the data send the data of themselves to the cognitive base station and forward the data of the primary user; the cognitive users which cannot successfully decode the data only send the data of themselves and do not forward the data of the primary user. The cognitive base station eliminates the interference of the data of primary user and performs beamforming for the signals. According to the combined adjustment the maximum throughput performance can be realized in the cognitive network.