Novel Design of Linear Full-duplex MIMO Radios

ZHANG Zhiliang; SHEN Ying; SHAO Shihai; PAN Wensheng; TANG Youxi

doi:10.11999/JEIT151363

Volume 38 Issue 9

Sep. 2016

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2227-2232

ZHANG Zhiliang, SHEN Ying, SHAO Shihai, PAN Wensheng, TANG Youxi. Novel Design of Linear Full-duplex MIMO Radios[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2227-2232. doi: 10.11999/JEIT151363

Citation:

ZHANG Zhiliang, SHEN Ying, SHAO Shihai, PAN Wensheng, TANG Youxi. Novel Design of Linear Full-duplex MIMO Radios[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2227-2232. doi: 10.11999/JEIT151363

Citation:

PDF( 1338 KB)

Novel Design of Linear Full-duplex MIMO Radios

doi: 10.11999/JEIT151363

1.
2.
(National Key Laboratory of Communication, University of Electronic Science and Technology of China, Chengdu 611731, China)

Funds:

The National Natural Science Foundation of China (61471108, 61501093), The National Major Projects (2014 ZX03003001-002)

Received Date: 2015-12-03
Rev Recd Date: 2016-03-21
Publish Date: 2016-09-19

Abstract

Abstract

Considering the issues of nonlinearity and self-interference in transmitting and receiving channels of a full-duplex MIMO radio respectively, a novel low hardware cost and low software complexity design scheme with transmitting channels linearization and self-interference cancellation by multi-tap RF cancellers and digital cancellers is proposed, where (1) An improved Cross-Talk Cancelling-Digital Pre-Distorter (CTC-DPD) algorithm and common feedback are used for decoupling and digital pre-distortion to make transmitting channels gain linearly and equally; (2) By introducing adjustable attenuators in receiving channels, multi-tap cancellers use received data along with minimum residual self-interference power criterion based multidimensional gradient descent method to search the multi-tap setting; (3) Digital self-interference is reconstructed for cancellation based on channel estimation in frequency domain. In the prototype of 20 MHz bandwidth LTE full-duplex 22 MIMO radio, transmitting channels have more flat in-band spectrum and 30 dB lower out-band noise after linearization. RF and digital self-interference cancellation need 0.17 ms for one turning and provide about 75 dB cancellation together. When two nodes with 16QAM mapping work at full-duplex mode, they achieve a sum of 220 Mbps bit rate, which double the bit rate of 110 Mbps at half-duplex mode and thus double the spectrum efficiency. The prototype demonstrates the feasibility of the proposed design.
- Wireless communication,
- Crosstalk,
- Nonlinearity,
- Full-duplex,
- MIMO

FullText(HTML)

References(17)

References

ZHANG Zhongshan, CHAI Xiaomeng, LONG Keping, et al. Full duplex techniques for 5G networks: Self-interference cancellation, protocol design, and relay selection[J]. IEEE Communications Magazine, 2015, 53(5): 128-137. doi: 10. 1109/MCOM.2015.7105651.

SABHARWAL A, SCHNITER P, GUO Dongning, et al. In-band full-duplex wireless: Challenges and opportunities[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9): 1637-1652. doi: 10.1109/JSAC.2014.2330193.

LI Yi, GURSOY M C, and VELIPASALAR S. Throughput and mode selection in two-way MIMO systems under queuing constraints[C]. 2015 IEEE International Conference on Communications (ICC), London, United Kingdom, 2015: 2271-2276. doi: 10.1109/ICC.2015.7248663.

BHARADIA D and KATTI S. Full duplex MIMO radios[C]. 11th USENIX Symposium on Networked Systems Design and Implementation, Seattle, WA, USA, 2014: 359-372.

DUARTE M, SABHARWAL A, AGGARWAL V, et al. Design and characterization of a full-duplex multiantenna system for WiFi networks[J]. IEEE Transactions on Vehicular Technology, 2014, 63(3): 1160-1177. doi: 10.1109/ TVT.2013.2284712.

ARYAFAR E, KHOJASTEPOUR M A, SUNDARESAN K, et al. MIDU: Enabling MIMO full duplex[C]. ACM The Eighteenth Annual International Conference on Mobile Computing and Networking (MobiCom12), Istanbul, Turkey, 2012: 257-268. doi: 10.1145/2348543.2348576.

RIIHONEN T and WICHMAN R. Analog and digital self-interference cancellation in full-duplex MIMO-OFDM transceivers with limited resolution in A/D conversion[C]. 46th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, 2012: 45-49. doi: 10.1109/ACSSC.2012.6488955.

DING Lei, ZHOU G T, MORGAN D R, et al. A robust digital baseband predistorter constructed using memory polynomials[J]. IEEE Transactions on Communications, 2004, 51(1): 159-165. doi: 10.1109/TCOMM.2003.822188.

MORGAN D R, MA Zhengxiang, KIM J, et al. A generalized memory polynomial model for digital predistortion of RF power amplifiers[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3852-3860. doi: 10.1109/TSP.2006.879264.

SURYASARMAN P M and SPRINGER A. A comparative analysis of adaptive digital predistortion algorithms for multiple antenna transmitters[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2015, 62(5): 1412-1420. doi: 10.1109/TCSI.2015.2403034.

BASSAM S A, HELAOUI M, and GHANNOUCHI F M. Crossover digital predistorter for the compensation of crosstalk and nonlinearity in MIMO transmitters[J]. IEEE Transactions on Microwave Theory and Techniques, 2009, 57(5): 1119-1128. doi: 10.1109/TMTT.2009.2017258.

ZAYANI R, BOUALLEGUE R, and ROVIRAS D. Crossover neural network predistorter for the compensation of crosstalk and nonlinearity in MIMO OFDM systems[C]. The 21st IEEE Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010), Instanbul, Turkey, 2010: 966-970. doi: 10.1109/PIMRC.2010.5671770.

SURYASARMAN P, HOFLEHNER M, and SPRINGER A. Digital pre-distortion for multiple antenna transmitters[C]. The 43rd European Microwave Conference, Nuremberg, Germany, 2013: 412-415. doi: 10.1109/GlobalSIP.2013. 6737109.

AMIRI M V, HELAOUI M, and GHANNOUCHI F M. Streamlined MIMO cross-over digital predistortion[C]. 2014 IEEE Radio and Wireless Symposium (RWS), Newport Beach, California, USA, 2014: 283-285. doi: 10.1109/RWS. 2014.6830132.

BOYD S and VANDENBERGHE L. Convex Optimization [M]. Cambridge, U.K.: Cambridge University Press, 2004: 466-475.

3GPP. TS25.814: Technical Specification Group Radio Access Network; Physical layer aspects for evolved Universal Terrestrial Radio Access (UTRA) (Release 7)[R]. 2006.

3GPP. TS25.102: Technical Specification Group Radio Access Network; User Equipment (UE) radio transmission and reception (TDD) (Release 12)[R]. 2004.

Relative Articles

Supplements(0)

Cited By

Proportional views