ABSTRACT
MIMO beamforming technology can scale wireless data rate proportionally with the number of antennas. However, the overhead induced by receivers' CSI (channel state information) feedback scales at a higher rate. In this paper, we address this fundamental tradeoff with Adaptive Feedback Compression (AFC). AFC quantizes or compresses CSI from 3 dimensions --- time, frequency and numerical values, and adapts the intensity of compression according to channel profile. This simple principle faces many practical challenges, e.g., a huge search space for adaption, estimation or prediction of the impact of compression on network throughput, and the coupling of different users in multi-user MIMO networks. AFC meets these challenges using a novel cross-layer adaptation metric, a metric extracted from 802.11 packet preambles, and uses it to guide the selection of compression intensity, so as to balance the tradeoff between overhead reduction and capacity loss (due to compression). We have implemented AFC on a software radio testbed. Our experiments show that AFC can outperform alternative approaches in a variety of radio environments.
- F. Boccardi and H. Huang, "Zero-Forcing Precoding for the MIMO Broadcast Channel under Per-Antenna Power Constraints," in IEEE 7th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2006., 2006.Google Scholar
- D. Gesbert, M. Kountouris, R. Heath, C.-B. Chae, and T. Salzer, "Shifting the MIMO Paradigm," Signal Processing Magazine, IEEE, vol. 24, no. 5, 2007.Google ScholarCross Ref
- "Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications," IEEE Std. 802.11ac Draft 3.0, 2012.Google Scholar
- "Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications," IEEE Std. 802.11n, 2009.Google Scholar
- D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, 2005. Google ScholarDigital Library
- G. Breit, "Coherence Time Measurement for TGac Channel Model," IEEE 802.11-09/1173r1, 2010.Google Scholar
- Cisco Systems Inc., "Wireless Mesh Access Points, Design and Deployment Guide," Release 7.3, 2012.Google Scholar
- A. Khattab, J. Camp, C. Hunter, P. Murphy, A. Sabharwal, and E. W. Knightly, "WARP: a Flexible Platform for Clean-Slate Wireless Medium Access Protocol Design," SIGMOBILE Mob. Comput. Commun. Rev., vol. 12, 2008. Google ScholarDigital Library
- D. Halperin, W. Hu, A. Sheth, and D. Wetherall, "Predictable 802.11 Packet Delivery From Wireless Channel Measurements," in Proc. of ACM SIGCOMM, 2010. Google ScholarDigital Library
- R. Kudo, K. Ishihara, and Y. Takatori, "Measured Channel Variation and Coherence Time in NTT Lab," IEEE 802.11--10/0087r0, 2010.Google Scholar
- D. Love, R. Heath, V. Lau, D. Gesbert, B. Rao, and M. Andrews, "An Overview of Limited Feedback in Wireless Communication Systems," IEEE Journal on Selected Areas in Communications, vol. 26, no. 8, 2008. Google ScholarDigital Library
- D. Love, R. Heath, W. Santipach, and M. Honig, "What is the Value of Limited Feedback for MIMO Channels?" IEEE Communications Magazine, vol. 42, no. 10, 2004. Google ScholarDigital Library
- P. Frank, A. Muller, and J. Speidel, "Fair Performance Comparison Between CQI- and CSI-based MU-MIMO for the LTE Downlink," in European Wireless Conference (EW), 2010.Google Scholar
- K. Huang, R. Heath, and J. Andrews, "Limited Feedback Beamforming Over Temporally-Correlated Channels," Signal Processing, IEEE Transactions on, vol. 57, no. 5. Google ScholarDigital Library
- V. Pohl, P. Nguyen, V. Jungnickel, and C. Von Helmolt, "How Often Channel Estimation is Needed in MIMO Systems," in Proc. of IEEE GlobeCom, 2004.Google Scholar
- X. Sun, L. J. Cimini Jr., L. J. Greenstein, D. S. Chan, and B. Douglas, "Performance of Quantized Feedback Beamforming in MIMO-OFDM Links over Time-Varying, Frequency-Selective Channels," in Proc. of IEEE MILCOM, 2007.Google Scholar
- R. Crepaldi, J. Lee, R. H. Etkin, S.-J. Lee, and R. Kravets, "CSI-SF: Estimating Wireless Channel State Using CSI Sampling & Fusion," in Proc. of IEEE INFOCOM, 2012.Google Scholar
- H. S. Rahul, S. Kumar, and D. Katabi, "JMB: Scaling Wireless Capacity With User Demands," in Proc. of ACM SIGCOMM, 2012. Google ScholarDigital Library
- H. V. Balan, R. Rogalin, A. Michaloliakos, K. Psounis, and G. Caire, "Achieving High Data Rates in a Distributed MIMO System," in Proc. of ACM MobiCom, 2012. Google ScholarDigital Library
- C. Shepard, H. Yu, N. Anand, E. Li, T. Marzetta, R. Yang, and L. Zhong, "Argos: Practical Many-Antenna Base Stations," in Proc. of ACM MobiCom, 2012. Google ScholarDigital Library
- H. Zhang et al., "802.11ac Explicit Sounding and Feedback," IEEE 802.11--10/1105r0, 2010.Google Scholar
- Ruckus Wireless, Inc., "All Beamforming Solutions Are Not Equal -- Discussion on the Topic of Beamforming," 2013.Google Scholar
- D. Halperin, "Simplifying the Configuration of 802.11 Wireless Networks with Effective SNR," CoRR, vol. abs/1301.6644, 2013. Google ScholarDigital Library
- S. Gollakota, S. D. Perli, and D. Katabi, "Interference Alignment and Cancellation," in Proc. of ACM SIGCOMM, 2009. Google ScholarDigital Library
Index Terms
- Adaptive feedback compression for MIMO networks
Recommendations
QAM and PSK codebooks for limited feedback MIMO beamforming
This paper considers the problem of beamforming in multiple-input multiple-output (MIMO) wireless systems. Assuming perfect channel state information at the receiver, the choice of the beamforming vector is made possible through a noiseless limited-rate ...
Limited feedback-based block diagonalization for the MIMO broadcast channel
Block diagonalization is a linear preceding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of the receivers. ...
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
Multiple-input-multiple-output (MIMO) communication systems can provide large capacity gains over traditional single-input-single-output (SISO) systems and are expected to be a core technology of next generation wireless systems. Often, these capacity ...
Comments