An approach for discrete-event simulations of alamouti scheme in ad hoc networks

This paper presents an approach for discrete-event simulations of wireless ad hoc networks equipped with the transmit diversity technique known as the “Alamouti scheme.” The approach is based on Alamouti's resulting effect on the signal-to-interference-plus-noise ratio (SINR) at a given node when receiving a frame under multiple access interference (MAI). Hence, unlike previous works on MIMO ad hoc networks which have assumed fixed diversity gains or fully-connected scenarios, the proposed approach allows simulations of Alamouti-enabled ad hoc networks under any given topology and modulation scheme. Clear channel assessment (CCA) mechanisms for CSMA-based Alamouti networks are also investigated regarding their impact on spatial reuse and throughput. Simulations of Alamouti-equipped IEEE 802.11 ad hoc networks are showcased under topologies not fully-connected. The obtained results indicate that throughput gains may be achieved when CCA is based on the average energy received across all antennas, in which case robustness to errors is balanced with spatial reuse.

[1]  Marco Levorato,et al.  Physical layer approximations for cross-layer performance analysis in MIMO-BLAST ad hoc networks , 2007, IEEE Transactions on Wireless Communications.

[2]  François Gagnon,et al.  V-BLAST without optimal ordering: analytical performance evaluation for Rayleigh fading channels , 2006, IEEE Transactions on Communications.

[3]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[4]  Mathieu Lacage,et al.  Yet another network simulator , 2006 .

[5]  Yong Yang,et al.  How Physical Carrier Sense Affects System Throughput in IEEE 802.11 Wireless Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[6]  Naofal Al-Dhahir,et al.  Impact of space-time block codes on 802.11 network throughput , 2003, IEEE Trans. Wirel. Commun..

[7]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[8]  Nitin H. Vaidya,et al.  Deafness: a MAC problem in ad hoc networks when using directional antennas , 2004, Proceedings of the 12th IEEE International Conference on Network Protocols, 2004. ICNP 2004..

[9]  Michael Barton,et al.  Link Adaptation Algorithm for the IEEE 802.11n MIMO System , 2008, Networking.

[10]  Moe Z. Win,et al.  Optimized simple bounds for diversity systems , 2009, IEEE Transactions on Communications.

[11]  Marco Chiani,et al.  Pragmatic Space-Time Trellis Codes: GTF-Based Design for Block Fading Channels , 2011, IEEE Transactions on Signal Processing.

[12]  Junshan Zhang,et al.  MIMO ad hoc networks: Medium access control, saturation throughput, and optimal hop distance , 2004, Journal of Communications and Networks.

[13]  E. Gelal,et al.  Exploiting Diversity Gain in MIMO Equipped Ad hoc Networks , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[14]  Khaled Ben Letaief,et al.  Open-Loop Link Adaptation for Next-Generation IEEE 802.11n Wireless Networks , 2009, IEEE Transactions on Vehicular Technology.

[15]  Michele Zorzi,et al.  A low-delay MAC solution for MIMO ad hoc networks , 2009, IEEE Transactions on Wireless Communications.

[16]  J. J. Garcia-Luna-Aceves,et al.  Analytical Modeling of Ad Hoc Networks that Utilize Space-Time Coding , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.

[17]  Ram Ramanathan,et al.  Ad hoc networking with directional antennas: a complete system solution , 2004, IEEE Journal on Selected Areas in Communications.