A reservation-based media access control (MAC) protocol design for cellular systems using smart antennas-part I. Flat fading

Smart antennas have the ability to cancel both cochannel interference (CCI) and intersymbol interference (ISI), and thus could be used in a cellular system to enhance coverage or increase capacity. A long standing problem is that of providing fast and efficient array adaptation in a random access packet-switching environment. This paper considers the media access control (MAC) design problem when smart antennas are used in a wireless data network and multipath fading is flat. The case of time dispersive fading will be considered in a companion paper. We propose a reservation-based MAC scheme in which the antenna weights will be computed from slot to slot to capture the actual interference and multipath fading. Performance of this scheme under the condition of flat Rayleigh fading is evaluated, and the training overhead is found, from which important design parameters for array training may be deduced. Bounds are also produced for the delay performance. Simulation results show that in an interference limited multicell environment, smart antennas can be used to significantly increase frequency reuse. If we require that the signal-to-interference-plus-noise (SINR) ratio must be at least 10 dB more than 90% of the time, then equipping each base station with eight antenna elements will allow two mobiles to simultaneously receive from the same base station. The number of training symbols required by the overhead in each transmission slot is between three and four times the number of antenna elements. We assume throughout that once adapted at the beginning of a packet, the antenna adapts throughout the packet to maintain the same SINR over the entire packet.

[1]  Karim Abed-Meraim,et al.  Iterative QR Detection for BLAST , 2001, Wirel. Pers. Commun..

[2]  Michele Zorzi Performance of a MAC protocol with smart antennas in a multicellular environment , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[3]  Gerhard Bauch,et al.  Improving BLAST performance using space-time block codes and turbo decoding , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[4]  Terence D. Todd,et al.  Capacity of S-ALOHA protocols using a smart antenna at the basestation , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[5]  William C. Y. Lee,et al.  A synchronized radio system without stable clock sources , 2001, IEEE Wirel. Commun..

[6]  John Litva,et al.  Digital beamforming in wireless communications , 1996 .

[7]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[8]  Iwao Sasase,et al.  Throughput performance of a slotted nonpersistent CSMA with an adaptive array , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Tor Aulin,et al.  Breadth-first maximum likelihood sequence detection: basics , 1999, IEEE Trans. Commun..

[10]  Alan E. Jones,et al.  An experimental study of OFDM at 5.25 GHz in an office environment , 2001, IEEE J. Sel. Areas Commun..

[11]  Z. Zhang,et al.  Performance of a modified polling strategy for broadband wireless lans in a harsh fading environment , 1991, IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record.

[12]  J. Litva,et al.  A chaotic neural beamformer for wireless communications , 1995, IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings.

[13]  Zhigang Cao,et al.  Analysis of low-complexity windowed DFT-based MMSE channel estimator for OFDM systems , 2001, IEEE Trans. Commun..

[14]  Richard D. Wesel,et al.  Multi-input multi-output fading channel tracking and equalization using Kalman estimation , 2002, IEEE Trans. Signal Process..

[15]  Charbel Sakr,et al.  Carrier-Sense Protocols for Packet-Switched Smart Antenna Basestations , 1997, Proceedings 1997 International Conference on Network Protocols.

[16]  Srikanth V. Krishnamurthy,et al.  Media Access Protocols for use with Smart Array Antennas to Enable Wireless Multimedia Applications , 1998 .

[17]  Lars K. Rasmussen,et al.  Near optimum tree-search detection schemes for bit-synchronous multiuser CDMA systems over Gaussian and two-path Rayleigh-fading channels , 1997, IEEE Trans. Commun..

[18]  Geoffrey Ye Li,et al.  MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation , 2002, IEEE Trans. Commun..

[19]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[20]  Gregory G. Raleigh,et al.  Multivariate modulation and coding for wireless communication , 1999, IEEE J. Sel. Areas Commun..

[21]  J.H. Winters,et al.  Optimum combining in digital mobile radio with cochannel interference , 1984, IEEE Transactions on Vehicular Technology.

[22]  Leonard J. Cimini,et al.  Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing , 1985, IEEE Trans. Commun..

[23]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[24]  Ronald A. Iltis,et al.  Joint detection and channel estimation algorithms for QS-CDMA signals over time-varying channels , 2002, IEEE Trans. Commun..

[25]  Jeremiah F. Hayes Modeling and Analysis of Computer Communications Networks , 1984 .

[26]  Irving Kalet,et al.  The multitone channel , 1989, IEEE Trans. Commun..

[27]  Craig K. Rushforth,et al.  Joint signal detection and parameter estimation in multiuser communications , 1993, IEEE Trans. Commun..

[28]  Jean-Jacques Fuchs,et al.  Multipath time-delay detection and estimation , 1999, IEEE Trans. Signal Process..

[29]  John J. Shynk,et al.  Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals , 2001, IEEE Trans. Signal Process..

[30]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[31]  J. Ward,et al.  High throughput slotted ALOHA packet radio networks with adaptive arrays , 1993, IEEE Trans. Commun..

[32]  Jae Hong Lee,et al.  Analysis of an adaptive SIC for near-far resistant DS-CDMA , 1998, IEEE Trans. Commun..

[33]  Randy L. Haupt,et al.  Introduction to Adaptive Arrays , 1980 .

[34]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.