Spectrum Sharing for Wireless Communications

1. Front Matter

   Pages i-viii

   PDF

2. Introduction

   • ChunSheng Xin, Min Song

   Pages 1-6

3. Opportunistic Spectrum Access

   • ChunSheng Xin, Min Song

   Pages 7-16

4. Incentivized Cooperative Dynamic Spectrum Access

   • ChunSheng Xin, Min Song

   Pages 17-31

5. Dynamic Spectrum Co-Access

   • ChunSheng Xin, Min Song

   Pages 33-47

6. On-Demand Spectrum Access

   • ChunSheng Xin, Min Song

   Pages 49-64

7. Conclusions

   • ChunSheng Xin, Min Song

   Pages 65-66

This SpringerBrief presents intelligent spectrum sharing technologies for future wireless communication systems. It explains the widely used opportunistic spectrum access and TV white space sharing, which has been approved by the FCC. Four new technologies to significantly increase the efficiency of spectrum sharing are also introduced. The four technologies presented are Dynamic Spectrum Co-Access, Incentivized Cooperative Spectrum Sharing, On-Demand Spectrum Sharing and Licensed Shared Spectrum Access. These technologies shed light on future wireless communication systems and pave the way for innovative spectrum sharing with increased spectrum utilization. Increased utilization will allow networks to meet the demand for radio spectrum and promote the growth of wireless industry and national economy. Spectrum Sharing is a valuable resource for researchers and professionals working in wireless communications. Advanced-level students in electrical engineering and computer science will also find this content helpful as a study guide.

• Intelligent spectrum sharing
• Licensed shared spectrum access
• On-demand spectrum sharing
• Spectrum co-access
• Spectrum efficiency
• Spectrum management
• Spectrum sharing
• Wireless communications

“This short volume, a well-structured eye-opener, describes several schemes for enabling spectrum sharing. … this is an important volume with technical, regulatory, and financial implications, and thus is a must-read for a wide and diverse audience of specialists, graduate students, engineers, and economists.” (L.-F. Pau, Computing Reviews, November, 2015)

• Electrical and Computer Engineering Department, Old Dominion University, Norfolk, USA

  ChunSheng Xin

• Computer Science Department, Michigan Technological University, Houghton, USA

  Min Song

Policies and ethics