Title
An Adaptive MIMO System Based on Unified Belief Propagation Detection
Abstract
An adaptive multiple input and multiple output (MIMO) system based on the unified belief propagation (BP) detection is proposed. A BP detector composed of a serial of component detectors is first presented. With a unified design of the BP detector, a multi-rate MIMO system adaptive to channel variations is then developed, which aims at achieving the maximal throughput performance. The usage of the unified BP detector eliminates the multiple detector modules at the receiver in conventional multi-mode adaptive MIMO systems. Further, the linear complexity to space time block length and parallel operation of the unified BP detection provide the advantages of low complexity, low detection delay and smooth switching between different data rates. With the average receiving signal-to-noise ratio (SNR) based switching mechanism, the proposed adaptive MIMO framework adaptively chooses the appropriate rate for the transmission. Simulation results are provided to show the BER and complexity performance of a specific BP detector as well as the throughput performance of the adaptive scheme.
Year
DOI
Venue
2007
10.1109/ICC.2007.685
ICC
Keywords
Field
DocType
complexity performance,unified bp detection,adaptive mimo framework,backpropagation detectors,adaptive mimo,ber,backpropagation,multiple input and multiple output system,computational complexity,mimo communication,multi-rate modes,unified belief propagation detection,multimode adaptive mimo systems,adaptive mimo system,error statistics,signal-to-noise ratio,wireless communication,ofdm,mimo,intersymbol interference,throughput,detectors,fading,adaptive systems,belief propagation,signal to noise ratio
Intersymbol interference,Fading,Computer science,Adaptive system,Control theory,MIMO,Algorithm,Real-time computing,Throughput,Detector,Orthogonal frequency-division multiplexing,Belief propagation
Conference
ISSN
ISBN
Citations 
1550-3607
1-4244-0353-7
12
PageRank 
References 
Authors
1.00
10
3
Name
Order
Citations
PageRank
Xiumei Yang1232.73
Yong Xiong2121.68
Fan Wang3121.00