Name
Title | ||
|---|---|---|
Excited Markov Chain Monte Carlo Mimo Detector With 8-Antenna 802.11ac Testbed Demonstration |
Abstract | ||
|---|---|---|
The development of low complexity, high performance spatial-multiplexing MIMO detectors continues to be an important area of research capable of increasing the spectral efficiency and capacity of wireless networks. The Markov Chain Monte Carlo (MCMC) detector has shown promise as a high performance method with low complexity growth. We present a solution to the high SNR stalling problems of previous MCMC detectors. Near-MAP performance is verified in simulation and in real-world measurements on an 8-antenna MIMO testbed using the 802.11ac WiFi protocol. This demonstration shows that the channel models predominantly used in the MCMC literature are too well-conditioned to provide an understanding of performance and complexity for indoor channels. Additional information is provided on the methods and techniques to match simulation to measurement and to construct a low cost and effective 8-antenna MIMO testbed. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | Wireless network,Monte Carlo method,Wireless,Markov chain Monte Carlo,Simulation,Computer science,MIMO,Testbed,Real-time computing,Electronic engineering,Spectral efficiency,Detector |
DocType | ISSN | Citations |
Conference | 1550-3607 | 1 |
PageRank | References | Authors |
0.36 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan C. Hedstrom | 1 | 1 | 0.36 |
| Chung Him George Yuen | 2 | 1 | 0.36 |
| Rong-Rong Chen | 3 | 70 | 10.31 |
| Behrouz Farhang-Boroujeny | 4 | 972 | 84.30 |