Author :
El-Mougy, Amr ; Ibnkahla, Mohamed ; Hattab, Ghaith ; Ejaz, Waleed
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´s Univ., Kingston, ON, Canada
Abstract :
Driven by the advent of sophisticated and ubiquitous applications, and the ever-growing need for information, wireless networks are without a doubt steadily evolving into profoundly more complex and dynamic systems. The user demands are progressively rampant, while application requirements continue to expand in both range and diversity. Future wireless networks, therefore, must be equipped with the ability to handle numerous, albeit challenging, requirements. Network reconfiguration, considered as a prominent network paradigm, is envisioned to play a key role in leveraging future network performance and considerably advancing current user experiences. This paper presents a comprehensive overview of reconfigurable wireless networks and an in-depth analysis of reconfiguration at all layers of the protocol stack. Such networks characteristically possess the ability to reconfigure and adapt their hardware and software components and architectures, thus enabling flexible delivery of broad services, as well as sustaining robust operation under highly dynamic conditions. The paper offers a unifying framework for research in reconfigurable wireless networks. This should provide the reader with a holistic view of concepts, methods, and strategies in reconfigurable wireless networks. Focus is given to reconfigurable systems in relatively new and emerging research areas such as cognitive radio networks, cross-layer reconfiguration, and software-defined networks. In addition, modern networks have to be intelligent and capable of self-organization. Thus, this paper discusses the concept of network intelligence as a means to enable reconfiguration in highly complex and dynamic networks. Key processes in network intelligence, such as reasoning, learning, and context awareness, are presented to illustrate how these methods can take reconfiguration to a new level. Finally, the paper is supported with several examples and case studies showing the tremendous impact of reconfiguration- on wireless networks.
Keywords :
protocols; radio networks; ubiquitous computing; broad services; cognitive radio networks; complex systems; cross-layer reconfiguration; dynamic systems; hardware components; network reconfiguration; protocol stack; reconfigurable wireless networks; software components; software defined networks; ubiquitous applications; Cognitive radio; Context-aware services; Quality of service; Reconfigurable architectures; Wireless networks; Cognitive radio networks; context awareness; cross-layer reconfiguration; learning; machine-to-machine communications; network intelligence; reconfigurable networks; software-defined networks;