ABSTRACT
The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limit. It presents interference alignment and cancellation (IAC), a new approach for decoding concurrent sender-receiver pairs in MIMO networks. IAC synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone. We show analytically that IAC almost doubles the throughput of MIMO LANs. We also implement IAC in GNU-Radio, and experimentally demonstrate that for 2x2 MIMO LANs, IAC increases the average throughput by 1.5x on the downlink and 2x on the uplink.
- Antenna selection and RF processing for MIMO systems. IEEE 802.11-04/0713r0, 2004.Google Scholar
- System Description and Operating Principles for High Throughput Enhancements to 802.11. IEEE 802.11-04/0870r, 2004.Google Scholar
- M. A. M. Ali, S. A. Motahari, and A. K. Khandani. Communication over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis. Trans. on Info. Theory, 2008. Google ScholarDigital Library
- J. Andrews. Interference cancellation for cellular systems: A contemporary overview. IEEE Wireless Communications, 2005. Google ScholarDigital Library
- D. Bliss, K. Forsythe, and A. Chan. MimoWireless Communications. Lincoln Lab Journal, 2005.Google Scholar
- V. Cadambe and S. Jafar. Interference Alignment and the Degrees of Freedom for the K User Interference Channel. In Trans. on Information Theory, 2008. Google ScholarDigital Library
- P. Castoldi. Multiuser Detection in CDMA Mobile Terminals. Artech house Publishers, 2002. Google ScholarDigital Library
- R. Chandra, P. Bahl, and P. Bahl. MultiNet: Connecting to Multiple IEEE 802.11 Networks Using a Single Wireless Card. In INFOCOM, 2004.Google ScholarCross Ref
- S. Changho and D. Tse. Interference Alignment for Cellular Networks. In Allerton, 2008.Google Scholar
- J. M. Cioffi. Multi-channel Modulation. Stanford University.Google Scholar
- A. E. Gamal and T. Cover. Multiple user information theory. In Trans. on Info. theory, 1980.Google Scholar
- M. Gast. 802.11 Wireless Networks. O'Reilly, 2005.Google Scholar
- D. Gesbert, M. Kountouris, R. W. Heath, C. Chae, and T. Salzer. Shifting the MIMO Paradigm: From Single User to Multiuser Communications. In Sig. Proc. Mag., 2007.Google Scholar
- S. Gollakota and D. Katabi. ZigZag Decoding: Combating Hidden Terminals in Wireless Networks. In Sigcomm, 2008. Google ScholarDigital Library
- S. Gollakota, S. Perli, and D. Katabi. Overcoming the antennas-per-node throughput limit in mimo lans. Technical report, MIT, 2009.Google Scholar
- M. Guillaud, D. Slock, and R. Knopp. A practical method for wireless channel reciprocity exploitation throught relative calibration. In Sig. Process. and Apps, 2005.Google Scholar
- R. Gummadi and H. Balakrishnan. Wireless Networks should Spread Spectrum Based on Demands. In Hotnets, 2008.Google Scholar
- D. Halperin, T. Anderson, and D. Wetherall. Taking the sting out of carrier sense: Interference Cancellation for wireless LANs. In ACM Mobicom, 2008. Google ScholarDigital Library
- J. Hou, J. Smee, H. D. Pfister, and S. Tomasin. Implementing Interference Cancellation to IncreaseGoogle Scholar
- the EV-DO Rev A Reverse Link Capacity. IEEE Communication Magazine, 2006.Google Scholar
- C. Huang and S. Jafar. Degrees of Freedom of the MIMO Interference Channel with Cooperation and Cognition. In arxiv: 0803.1733, 2008.Google Scholar
- S. Jafar and S. Shamai. Degrees of Freedom of MIMO X Channel. In Trans in Info. Theory, 2008. Google ScholarDigital Library
- S. Kandula, K. Lin, T. Badirkhanli, and D. Katabi. FATVAP: Aggregating AP BackHaul Bandwidth. In NSDI, 2008. Google ScholarDigital Library
- M. Mitzenmacher. The Power of Two Choices in Randomized Load Balancing. PhD thesis, 1991. Google ScholarDigital Library
- A. Miu, H. Balakrishnan, and C. E. Koksal. Improving Loss Resilience with Multi-Radio Diversity in Wireless Networks. In Mobicom, 2005. Google ScholarDigital Library
- T. Moscribroda, R. Chandra, Y. Wu, S. Sengupta, P. Bahl, and Y. Yuan. Load-Aware Spectrum Distribution in Wireless LANs. In ICNP, 2008.Google Scholar
- R. Murty, J. Padhye, R. Chandra, A.Wolman, and B. Zill. Designing High Performance Enterprise Wi-Fi Networks. In NSDI, 2008. Google ScholarDigital Library
- C. Qiu, C. Zhou, G. Nan, and J. Zhang. Time Reversal with MISO for ultra-wideband Communications: Experimental Results. In Letters on Antennas and Propogation, 2006.Google Scholar
- C. Qiu, C. Zhou, J. Zhang, and G. Nan. Channel reciprocity and time-reversed propagation for ultra-wideband communications. In Symp. on Antennas and Propagation, 2007.Google ScholarCross Ref
- D. Tse and P. Vishwanath. Fundamentals of Wireless Communications. Cambridge Press, 2005. Google ScholarDigital Library
- P. Viswanath and D. Tse. Sum capacity of the vector gaussian channel and uplink-downlink duality. In Trans. on information theory, 2003. Google ScholarDigital Library
- G. Woo, P. Kheradpour, and D. Katabi. Beyond the Bits: Cooperative Packet Recovery Using PHY Information. In ACM MobiCom, 2007. Google ScholarDigital Library
Index Terms
- Interference alignment and cancellation
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