CALL FOR PAPERS
Cognitive radio (CR) is an emerging network technology that has been around for more than 15 years towards solving the problem of wireless network spectrum inefficiency. Cognitive radio ad hoc networks (CRAHNs), equipped with the intrinsic capabilities of cognition and self-organization, provides an ultimate spectrum-aware communication paradigm in wireless networks. By nature, CRAHNs mostly operate on multiple channels based on the fact that the available spectrum usually appears as discontinuous spectrum. Concurrent communication over multi-channel CRAHNs can alleviate interference and improve the spectrum utilization with greater flexibility for channel access.
However, multi-channel CRAHNs impose unique challenges as a result of high fluctuation in the available spectrum, distributed dynamic network topology, and the time and location varying spectrum availability. To overcome these challenges, some fundamental problems in multi-channel CRAHNs have to be carefully resolved, both in theory and in practice. Specifically, the following key questions need to be addressed:
- How can the fragmented available spectrum be recognized?
- How can multiple channels with the available spectrum be constructed in an efficient way?
- How can the multiple channels be allocated among the users and coordinate their concurrent communications in a distributed manner?
- How to evaluate the abilities of CRAHNs to support the quality of end-to-end services?
This Feature Topic (FT) solicits technical papers describing original, previously unpublished, not currently under review by another conference or journal pertaining to trends and issues and challenges of multi-channel CRAHNs. The scope of this Feature Topic calls for novel research contributions including, but not restricted to the following topics.
- New theories, architectures and models for multi-channel CRAHNs
- Capacity analysis for multi-channel CRAHNs
- Spectrum sensing, sharing and management in CRAHNs
- Medium access control, scheduling, and routing protocols for multi-channel cognitive radio networks
- Transport layer design, TCP extension for multi-channel cognitive radio networks
- Joint route and spectrum allocation, adaptive cross-layer design and optimized resource management
- Security challenges in multi-channel CRAHNs
- Application scenarios and emerging markets over multi-channel CRAHNs, such as smart grids, emergency responders, disaster recovery, high bandwidth multimedia communication, military deployment, and homeland security among others.
National University of Defense Technology, China
Auckland University of Technology, New Zealand
University of Paris 13, France