Spectrum Virtualization Layer

This paper presents an architecture to support dynamic spectrum access (DSA) in general wireless networks. Our architecture advocates a new spectrum virtualization layer (SVL), directly below the wireless physical layer (PHY or baseband processing). We call it Layer 0.5. SVL presents a virtual baseband to traditional wireless PHY, which is designed for a fixed contiguous spectrum band with fixed width. When spectrum allocation changes under DSA, SVL performs real-time reshaping of baseband signals so that the baseband of traditional wireless PHY maps to the current physical spectrum band allocation, which can be of different width, or even in separate non-contiguous bands. All operations inside SVL are agnostic and transparent to upper PHY, making it possible to enable DSA without changing the traditional PHY designs. We have implemented a prototype of SVL on a software radio platform and demonstrated the flexibility and effectiveness of SVL in supporting DSA. We believe this is the right architecture model for enabling DSA for general wireless networks.

[1]  Paramvir Bahl,et al.  A case for adapting channel width in wireless networks , 2008, SIGCOMM '08.

[2]  Dina Katabi,et al.  Learning to share: narrowband-friendly wideband networks , 2008, SIGCOMM '08.

[3]  ZhangYongguang,et al.  Fine-grained channel access in wireless LAN , 2010 .

[4]  Philip Levis,et al.  Achieving single channel, full duplex wireless communication , 2010, MobiCom.

[5]  Jiansong Zhang,et al.  Fine-Grained Channel Access in Wireless LAN , 2013, IEEE/ACM Transactions on Networking.

[6]  Lei Yang,et al.  The spaces between us: setting and maintaining boundaries in wireless spectrum access , 2010, MobiCom.

[7]  Haichen Shen,et al.  MPAP: virtualization architecture for heterogenous wireless APs , 2010, SIGCOMM '10.

[8]  References , 1971 .

[9]  Danijela Cabric,et al.  Experimental study of spectrum sensing based on energy detection and network cooperation , 2006, TAPAS '06.

[10]  Haichen Shen,et al.  MPAP: virtualization architecture for heterogenous wireless APs , 2011, CCRV.

[11]  Lei Yang,et al.  The Impact of Frequency-Agility on Dynamic Spectrum Sharing , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[12]  Alan V. Oppenheim,et al.  Discrete-time signal processing (2nd ed.) , 1999 .

[13]  Paramvir Bahl,et al.  White space networking with wi-fi like connectivity , 2009, SIGCOMM '09.

[14]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[15]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[16]  Haitao Wu,et al.  Sora: High Performance Software Radio Using General Purpose Multi-core Processors , 2009, NSDI.

[17]  John V. Guttag,et al.  Virtual radios , 1999, IEEE J. Sel. Areas Commun..

[18]  Lei Yang,et al.  Supporting Demanding Wireless Applications with Frequency-agile Radios , 2010, NSDI.