Performance of homogeneous and asynchronous ad hoc network with interference alignment

In this work, we introduce multiple-input-multiple-output (MIMO) interference alignment (IA) in an homogeneous and asynchronous ad hoc network. Perfect channel state information and working status of nodes are conveyed by instantaneous feedback link to one-hop neighbors. Transmitters align their interference to receivers and receivers eliminate interference by zero-forcing method asynchronously. The feasibility conditions for IA are considered as a critical factor to the performance, and the situations are divided according to whether the feasibility condition can be satisfied or not. We derive closed-form expressions for the upper and lower bounds on outage probability and transmission capacity in both cases. Numerical results show that with larger path loss exponent and number of antennas, the performance increases because a greater proportion of the interference can be eliminated.

[1]  Jeffrey G. Andrews,et al.  Rethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas , 2009, 2009 IEEE International Conference on Communications.

[2]  A. H. Kayran,et al.  On Feasibility of Interference Alignment in MIMO Interference Networks , 2009, IEEE Transactions on Signal Processing.

[3]  Jeffrey G. Andrews,et al.  User Arrival in MIMO Interference Alignment Networks , 2011, IEEE Transactions on Wireless Communications.

[4]  R. Vaze,et al.  Transmission Capacity of Ad-hoc Networks With Multiple Antennas Using Transmit Stream Adaptation and Interference Cancellation , 2009, IEEE Transactions on Information Theory.

[5]  Amir K. Khandani,et al.  Signaling over MIMO Multi-Base Systems: Combination of Multi-Access and Broadcast Schemes , 2006, 2006 IEEE International Symposium on Information Theory.

[6]  Martin Haenggi,et al.  Interference and Outage in Clustered Wireless Ad Hoc Networks , 2007, IEEE Transactions on Information Theory.

[7]  Jeffrey G. Andrews,et al.  Transmission Capacity of Wireless Ad Hoc Networks With Successive Interference Cancellation , 2007, IEEE Transactions on Information Theory.

[8]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[9]  Maxime Guillaud,et al.  Performance of interference alignment in clustered wireless ad hoc networks , 2010, 2010 IEEE International Symposium on Information Theory.

[10]  Changho Suh,et al.  Interference Alignment for Cellular Networks , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[11]  David Gesbert,et al.  Interference Alignment in Partially Connected Interfering Multiple-Access and Broadcast Channels , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.