Control Channel Design for Many-Antenna MU-MIMO

Many-antenna MU-MIMO faces a critical, previously unaddressed challenge: it lacks a practical control channel. At the heart of this challenge is that the potential range of MU-MIMO beamforming systems scales with up to the square of the number of base-station antennas once they have channel state information (CSI), whereas the range of traditional control channel operations remains constant since they take place before or during CSI acquisition. This range gap between no-CSI and CSI modes presents a critical challenge to the efficiency and feasibility of many-antenna base stations, as their operational range is limited to the no-CSI mode. We present a novel control channel design for many-antenna MU-MIMO, Faros, that allows the number of base-station antennas to scale up to 100s in practice. Faros leverages a combination of open-loop beamforming and coding gains to bridge the range gap between the CSI and no-CSI modes. Not only does Faros provide an elegant and efficient control channel for many-antenna MU-MIMO, but on a more fundamental level it exposes flexible, fine-grained, control over space, time, and code resources, which enables previously impossible optimizations. We implement our design on the Argos many-antenna base station and evaluate its performance in bridging the range gap, synchronization, and paging. With 108 antennas, Faros can provide over 40 dB of gain, which enables it to function reliably at over 250 meters outdoors with less than 100 μW of transmit power per antenna, 10 mW total, at 2.4 GHz.

[1]  P. Rudnick Digital Beamforming in the Frequency Domain , 1969 .

[2]  Kang G. Shin,et al.  E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks , 2011, IEEE Transactions on Mobile Computing.

[3]  Lena Schwartz Next Generation Wireless Lans 802 11n And 802 11ac , 2016 .

[4]  Fredrik Tufvesson,et al.  A flexible 100-antenna testbed for Massive MIMO , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[5]  Donald C. Cox,et al.  Robust frequency and timing synchronization for OFDM , 1997, IEEE Trans. Commun..

[6]  Takefumi Hiraguri,et al.  Throughput performance on IEEE802.11ac based massive MIMO considering calibration errors , 2014, 2014 International Symposium on Antennas and Propagation Conference Proceedings.

[7]  Erik van der Bij,et al.  CERN's FMC KIT , 2013 .

[8]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[9]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[10]  Pablo Alvarez,et al.  THE WHITE RABBIT PROJECT , 2009 .

[11]  Per Zetterberg,et al.  Experimental Investigation of TDD Reciprocity-Based Zero-Forcing Transmit Precoding , 2011, EURASIP J. Adv. Signal Process..

[12]  Robert L. Frank,et al.  Polyphase codes with good nonperiodic correlation properties , 1963, IEEE Trans. Inf. Theory.

[13]  Yang Li,et al.  Implementation of full-dimensional MIMO (FD-MIMO) in LTE , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[14]  Kentaro Nishimori,et al.  Automatic calibration method using transmitting signals of an adaptive array for TDD systems , 2001, IEEE Trans. Veh. Technol..

[15]  Geoffrey Ye Li,et al.  An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.

[16]  Qing Yang,et al.  BigStation: enabling scalable real-time signal processingin large mu-mimo systems , 2013, SIGCOMM.

[17]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[18]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[19]  Erik G. Larsson,et al.  On the operation of massive MIMO with and without transmitter CSI , 2014, 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[20]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[21]  Markus Rupp,et al.  Carrier frequency synchronization in the downlink of 3GPP LTE , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[22]  M.B. Pursley,et al.  Crosscorrelation properties of pseudorandom and related sequences , 1980, Proceedings of the IEEE.

[23]  Farooq Khan,et al.  LTE for 4G Mobile Broadband: Air Interface Technologies and Performance , 2009 .

[24]  Chris Dick,et al.  FPGA implementation of an OFDM PHY , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[25]  Jörg Widmer,et al.  Steering with eyes closed: Mm-Wave beam steering without in-band measurement , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[26]  Norman C. Beaulieu,et al.  On MIMO beamforming systems using quantized feedback , 2010, IEEE Transactions on Communications.

[27]  Clayton Shepard,et al.  ArgosV2: a flexible many-antenna research platform , 2013, MobiCom.

[28]  Edward W. Knightly,et al.  802.11ec: Collision Avoidance Without Control Messages , 2012, IEEE/ACM Transactions on Networking.

[29]  O. Edfors,et al.  Time and frequency synchronization for OFDM using PN-sequence preambles , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[30]  Ashutosh Sabharwal,et al.  Design, Implementation, and Characterization of a Cooperative Communications System , 2011, IEEE Transactions on Vehicular Technology.

[31]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[32]  Giuseppe Caire,et al.  Scalable Synchronization and Reciprocity Calibration for Distributed Multiuser MIMO , 2013, IEEE Transactions on Wireless Communications.

[33]  Swarun Kumar,et al.  JMB: scaling wireless capacity with user demands , 2012, SIGCOMM '12.

[34]  David C. Chu,et al.  Polyphase codes with good periodic correlation properties (Corresp.) , 1972, IEEE Trans. Inf. Theory.

[35]  Giuseppe Caire,et al.  AirSync: Enabling Distributed Multiuser MIMO With Full Spatial Multiplexing , 2012, IEEE/ACM Transactions on Networking.