What is wrong/right with IEEE 802.11n Spatial Multiplexing Power Save feature?

The IEEE 802.11n standard has proposed a new Spatial Multiplexing Power Save (SMPS) feature, which allows for a station to retain one active receive chain, to mitigate MIMO circuitry power consumption. But does it work in all cases? Our experiments reveal that SMPS may not always save power compared with multiple active chains at the receiver. Even when it does, it may be proven more energy hungry. In this work, we seek to uncover the “good”, the “bad” and the “ugly” of SMPS using real experiments. We further devise a MIMO Receiver Energy Save (MRES) algorithm, which seeks to identify and set the most energy-efficient receive chain setting, by using a novel, low-overhead sampling scheme. Our prototype experiments show that, MRES outperforms SMPS with energy savings up to 37%.

[1]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[2]  Thomas L. Marzetta,et al.  Capacity of a Mobile Multiple-Antenna Communication Link in Rayleigh Flat Fading , 1999, IEEE Trans. Inf. Theory.

[3]  Chen-Nee Chuah,et al.  Capacity scaling in MIMO Wireless systems under correlated fading , 2002, IEEE Trans. Inf. Theory.

[4]  Gustavo de Veciana,et al.  A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity , 2009, IEEE Transactions on Wireless Communications.

[5]  Konstantina Papagiannaki,et al.  Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices , 2010, MobiSys '10.

[6]  John C. Bicket,et al.  Bit-rate selection in wireless networks , 2005 .

[7]  David Wetherall,et al.  Demystifying 802.11n power consumption , 2010 .

[8]  Vaduvur Bharghavan,et al.  Robust rate adaptation for 802.11 wireless networks , 2006, MobiCom '06.

[9]  Alec Wolman,et al.  Wireless wakeups revisited: energy management for voip over wi-fi smartphones , 2007, MobiSys '07.

[10]  Lizhong Zheng,et al.  Diversity-multiplexing tradeoff in multiple-access channels , 2004, IEEE Transactions on Information Theory.

[11]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[12]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[13]  Yan Gao,et al.  SOFA: A Sleep-Optimal Fair-Attention Scheduler for the Power-Saving Mode of WLANs , 2011, 2011 31st International Conference on Distributed Computing Systems.

[14]  Hari Balakrishnan,et al.  Minimizing energy for wireless web access with bounded slowdown , 2002, MobiCom '02.

[15]  Suman Banerjee,et al.  802.11n under the microscope , 2008, IMC '08.

[16]  Prasant Mohapatra,et al.  Improving energy efficiency of Wi-Fi sensing on smartphones , 2011, 2011 Proceedings IEEE INFOCOM.

[17]  Liesbet Van der Perre,et al.  SmartMIMO: An Energy-Aware Adaptive MIMO-OFDM Radio Link Control for Next-Generation Wireless Local Area Networks , 2007, EURASIP J. Wirel. Commun. Netw..

[18]  Songwu Lu,et al.  MIMO rate adaptation in 802.11n wireless networks , 2010, MobiCom.

[19]  Lin Zhong,et al.  Micro power management of active 802.11 interfaces , 2008, MobiSys '08.