Spatial Interference Cancellation for Mobile Ad Hoc Networks: Perfect CSI

Interference between nodes directly limits the capacity of mobile ad hoc networks. This paper focuses on spatial interference cancellation with perfect channel state information (CSI), and analyzes the corresponding network capacity. Specifically, by using multiple antennas, zero-forcing beamforming is applied at each receiver for canceling the strongest interferers. Given spatial interference cancellation, the network transmission capacity is analyzed in this paper, which is defined as the maximum transmitting node density under constraints on outage and the signal-to-interference-plus-noise ratio. Assuming that the locations of network nodes are Poisson distributed and spatially i.i.d. Rayleigh fading channels, mathematical tools from stochastic geometry are applied for deriving scaling laws for transmission capacity. Specifically, for a large number of antennas per node, the transmission capacity scales with the number of antennas raised to a fractional power, which depends only on the path-loss exponent. Moreover, for small target outage probability, transmission capacity is proved to increase following a power law, where the exponent is the inverse of the size of antenna array or larger depending on the pass-loss exponent. As shown by simulations, spatial interference cancellation increases transmission capacity by an order of magnitude or more even if only one extra antenna is added to each node.

[1]  Jeffrey G. Andrews,et al.  Capacity Scaling of Ad Hoc Networks with Spatial Diversity , 2007, 2007 IEEE International Symposium on Information Theory.

[2]  Ayfer Özgür,et al.  Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks , 2006, IEEE Transactions on Information Theory.

[3]  Parameswaran Ramanathan,et al.  A cross layer scheme for adaptive antenna array based wireless ad hoc networks in multipath environments , 2007, Wirel. Networks.

[4]  P. Viswanath,et al.  Upper bounds to transport capacity of wireless networks , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[5]  Ram Ramanathan,et al.  Ad hoc networking with directional antennas: a complete system solution , 2005, IEEE J. Sel. Areas Commun..

[6]  Jeffrey G. Andrews,et al.  The Effect of Fading, Channel Inversion, and Threshold Scheduling on Ad Hoc Networks , 2007, IEEE Transactions on Information Theory.

[7]  Kaibin Huang,et al.  Spatial interference cancelation for mobile ad hoc networks: Imperfect CSI , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[8]  Horst Alzer,et al.  On some inequalities for the incomplete gamma function , 1997, Math. Comput..

[9]  Jeffrey G. Andrews,et al.  Transmission capacity of wireless ad hoc networks with outage constraints , 2005, IEEE Transactions on Information Theory.

[10]  Massimo Franceschetti,et al.  Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory , 2007, IEEE Transactions on Information Theory.

[11]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[12]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[13]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[14]  Giuseppe Caire,et al.  Multiuser MIMO Downlink Made Practical: Achievable Rates with Simple Channel State Estimation and Feedback Schemes , 2007, ArXiv.

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

[16]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[17]  Parameswaran Ramanathan,et al.  Spatial reuse through adaptive interference cancellation in multi-antenna wireless networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[18]  Jeffrey G. Andrews,et al.  Transmission capacity of ad hoc networks with spatial diversity , 2007, IEEE Transactions on Wireless Communications.

[19]  Malvin Carl Teich,et al.  Power-law shot noise , 1990, IEEE Trans. Inf. Theory.

[20]  Thomas L. Marzetta,et al.  Fast transfer of channel state information in wireless systems , 2006, IEEE Transactions on Signal Processing.

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

[22]  Nihar Jindal,et al.  MIMO broadcast channels with finite rate feedback , 2006, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[23]  Syed Ali Jafar,et al.  Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel , 2007, 2008 IEEE International Conference on Communications.

[24]  Nihar Jindal,et al.  Multi-Antenna Broadcast Channels with Limited Feedback and User Selection , 2006 .

[25]  Mario Gerla,et al.  SPACE-MAC: enabling spatial reuse using MIMO channel-aware MAC , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.