Rethinking the role of interference in wireless networks

This article re-examines the fundamental notion of interference in wireless networks by contrasting traditional approaches to new concepts that handle interference in a creative way. Specifically, we discuss the fundamental limits of the interference channel and present the interference alignment technique and its extension of signal alignment techniques. Contrary to this traditional view, which treats interference as a detrimental phenomenon, we introduce three concepts that handle interference as a useful resource. The first concept exploits interference at the modulation level and leads to simple multiuser downlink precoding that provides significant energy savings. The second concept uses radio frequency radiation for energy harvesting and handles interference as a source of green energy. The last concept refers to a secrecy environment and uses interference as an efficient means to jam potential eavesdroppers. These three techniques bring a new vision about interference in wireless networks and motivate a plethora of potential new applications and services.

[1]  Tharmalingam Ratnarajah,et al.  Known interference in the cellular downlink: a performance limiting factor or a source of green signal power? , 2013, IEEE Communications Magazine.

[2]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2013 .

[3]  Moe Z. Win,et al.  Interference engineering for heterogeneous wireless networks with secrecy , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[4]  Thomas M. Cover,et al.  Network Information Theory , 2001 .

[5]  Syed A. Jafar,et al.  Interference Alignment: A New Look at Signal Dimensions in a Communication Network , 2011, Found. Trends Commun. Inf. Theory.

[6]  Christos Masouros,et al.  Correlation Rotation Linear Precoding for MIMO Broadcast Communications , 2011, IEEE Transactions on Signal Processing.

[7]  H. Vincent Poor,et al.  A General Framework of Precoding Design for Multiple Two-Way Relaying Communications , 2013, IEEE Transactions on Signal Processing.

[8]  Syed Ali Jafar,et al.  Topological Interference Management Through Index Coding , 2013, IEEE Transactions on Information Theory.

[9]  Mahesh K. Varanasi,et al.  Interference Alignment Under Limited Feedback for MIMO Interference Channels , 2013, IEEE Transactions on Signal Processing.

[10]  Björn E. Ottersten,et al.  Improving Physical Layer Secrecy Using Full-Duplex Jamming Receivers , 2013, IEEE Transactions on Signal Processing.

[11]  Björn E. Ottersten,et al.  Beamforming for MISO Interference Channels with QoS and RF Energy Transfer , 2013, IEEE Transactions on Wireless Communications.

[12]  Michael Gastpar,et al.  Reliable Physical Layer Network Coding , 2011, Proceedings of the IEEE.

[13]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[14]  Wei Yu,et al.  Interference Mitigation via Joint Detection , 2011, IEEE Journal on Selected Areas in Communications.

[15]  Joohwan Chun,et al.  Degrees of Freedom of the MIMO Y Channel: Signal Space Alignment for Network Coding , 2010, IEEE Transactions on Information Theory.