You are here

Dynamic Spectrum Management for 5G


The fifth generation (5G) wireless communication network is currently attracting extensive research interest from both industry and academia. It is widely agreed that in contrast to 4G, 5G should achieve 1000 times system throughput, 10 times spectral efficiency, higher data rates (i.e., the peak data rate of 10 Gb/s and the user experienced rate of 1Gb/s), 25 times average cell throughput, 5 times reduction in E2E latency and 100 times higher connectivity density. Among those requirements, the 1000-fold increase in system capacity becomes the most important and probably the most challenging one for 5G systems.

One of the most interesting approaches to fulfil such capacity increase is to dynamically exploit the underutilized allocated bands for cellular and wireless systems (2G/3G/4G). Novel techniques and new enabling technologies are needed to provide the necessary intelligence and adaptation for spectrum sharing and cooperation of multiple wireless networks. Under the so-called ASA/LSA paradigm, environment-aware unlicensed wireless devices can share the spectrum with other licensed networks, without degrading their performance and introducing unmanageable interference on the nodes of other networks. There are two ways for coexisting multiple networks to utilize the available spectrum. First, the primary network, as the owner of the spectrum, makes a decision to share the spectrum with the secondary network, based on a mutual agreement. Second, the secondary network may access the spectrum opportunistically. Recently important advances in a multiplicity of technologies, ranging from adaptive signal processing and spectral estimation techniques to power control and cooperative communications, have rendered this coexistence feasible. While some initial steps toward the implementation of dynamic spectrum management concepts have already been taken, there are still several key challenges that need to be tackled, before the full potential of the dynamic spectrum management can be achieved.

This IEEE Wireless Journal special issue will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to dynamic spectrum management techniques. Topics in focus include, but are not limited to,:

  • Spectrum sensing, management and mobility for dynamic spectrum management
  • Routing Protocol for dynamic spectrum management
  • Cross-layer design for dynamic spectrum management
  • Traffic prediction and allocation strategies for dynamic spectrum allocation
  • Cooperative dynamic spectrum management
  • Shared use of unlicensed spectrum for dynamic spectrum management
  • Random matrix theory and mathematical analysis of dynamic spectrum management
  • System-level modeling for dynamic spectrum management
  • Artificial intelligence for dynamic spectrum management
  • Location-awareness for dynamic spectrum management
  • Experimental demonstrations, tests and performance characterization for dynamic spectrum management
  • Business model for dynamic spectrum management
  • Standardization aspects of dynamic spectrum management
  • Regulatory framework of dynamic spectrum management
  • Economy Theory framework for dynamic spectrum management
  • Live experiments, prototypes and demonstrators of dynamic spectrum management


Shahid Mumtaz
Instituto de Telecomunicações, Portugal

Valerio Frascolla
Intel, Neubiberg, Germany

Keith Briggs
BT (British Telecommunications plc), UK

Anwer Al-Dulaimi
EXFO Inc., Canada

Dusit Niyato
Nanyang Technological University Singapore