Centralized Support Node for Mobility Management in Cognitive Radio Networks (original) (raw)

Spectrum-Aware Mobility Management in Cognitive Radio Cellular Networks

IEEE Transactions on Mobile Computing, 2012

Cognitive radio (CR) networks have been proposed as a solution to both spectrum inefficiency and spectrum scarcity problems. However, they face several challenges based on the fluctuating nature of the available spectrum, making it more difficult to support seamless communications, especially in CR cellular networks. In this paper, a spectrum-aware mobility management scheme is proposed for CR cellular networks. First, a novel network architecture is introduced to mitigate heterogeneous spectrum availability. Based on this architecture, a unified mobility management framework is developed to support diverse mobility events in CR networks, which consists of spectrum mobility management, user mobility management, and intercell resource allocation. The spectrum mobility management scheme determines a target cell and spectrum band for CR users adaptively dependent on time-varying spectrum opportunities, leading to increase in cell capacity. In the user mobility management scheme, a mobile user selects a proper handoff mechanism so as to minimize a switching latency at the cell boundary by considering spatially heterogeneous spectrum availability. Intercell resource allocation helps to improve the performance of both mobility management schemes by efficiently sharing spectrum resources with multiple cells. Simulation results show that the proposed method can achieve better performance than conventional handoff schemes in terms of both cell capacity as well as mobility support in communications.

Spectrum Aware Mobility Management In Cognitive Radio-A Survey

Cognitive radio (CR) enables the efficient utilization of the limited radio spectrum, network resources and an unlicensed user can communicate in licensed spectrum without interfering a licensed user. In CR expected to address several operational challenges such as spectrum access in dynamic manner, providing Quality of Service (QOS) between end-to-end and spectral heterogeneity. Hence it become an all-encompassing term for a wide variety of technologies and emerges as a promising solution to improve current spectrum utilization efficiently. In this paper we proposed spectrum mobility management in cognitive radio.

A Review on Spectrum Management Functions and applications in Cognitive Radio Networks

— Cognitive Radio Technology is envisaged as the foremost riposte to the spectrum dearth cause in forthcoming wireless communication networks. Cognitive Radio Networks provisions us to utilize the procurable electromagnetic spectrum in an opportunistic manner. Dynamic spectrum access techniques and heterogeneous wireless architectures enable wireless connectivity. CR spectrum management functions can address the challenges due to the fluctuations of the available spectrum and different quality of service requirements. In this survey, we shed a light towards basics of cognitive radio networking, spectrum management functions, open research issues and applications. Keywords— Cognitive Radio Networks, Cognitive Radio Cognition Cycle, dynamic spectrum access, spectrum management functions.

Issues and Challenges in Spectrum management in Cognitive Radio Networks

2015

Cognitive radio is a revolutionary technology that allows efficient, adaptable and intelligent use of spectrum without causing interference to the current licensed users. For cognitive radio adaptability, optimal usability and the power to evolve are the major factors that set apart an evolutionary machine. This paper introduces the concept of spectrum and network heterogeneity in case of cognitive radio technology, spectrum management and spectrum sharing techniques. The challenges faced in networking in an cognitive environment is also discussed with some proposed

An efficient spectrum mobility management strategy in cognitive radio networks

2009

In this paper, we propose to design a spectrum mobility strategy using Fuzzy Logic System for cognitive radio networks (CRN). The proposed strategy enables cognitive radios (CR) to vacate the spectrum if primary user (PU) needs it back or to adjust its transmit power in order to avoid interference with PU or nearby CR. Using our scheme, CR switches between the bands only if it is not able to modify its transmit power within the tolerable interference limits. Thus, our work is divided in two modules, one with the priority to control CR transmit power within tolerable range and second to switch to another frequency band in order to avoid interference. Simulated results show that using our proposed fuzzy power control scheme, we can decrease transmit power consumption and achieve lower number of spectrum handovers.

Communication mechanisms for cognitive radio networks

2013

Comprehensive communication in cognitive radio networks is an important research topic within the scope of empowering cognitive radio functionality in beyond-4G mobile networks. Providing communication for secondary users without interference with primary users is an ambitious task, which requires innovative management architecture designs and routing solutions. Operational challenges such as opportunistic spectrum access, solving problems related to spectrum and network heterogeneities and requests for the provisioning of Quality-of-Service to different applications must be resolved. As part of a novel management architecture, the paper advances a new approach to end-to-end communication in cognitive radio networks based on combining ad-hoc algorithms with spectrum mobility algorithms.

A Review on Spectrum Mobility for Cognitive Radio Networks

2015

Cognitive radio is one of the technologies which has the potential to improve the spectrum utilization and network performance. Spectrum Mobility is an indispensable component in cognitive radio network that not only guarantees desired QoS of primary users but also grants resilient service for secondary users. Spectrum Mobility occurs when the primary user appears in the licensed band occupied by secondary user and it is used to avoid interference between primary and secondary users. This paper provides a systematic current overview of spectrum mobility process, various performance metrics and challenges regarding spectrum mobility are pointed out and finally a number of promising concepts and schemes are briefly presented.

Quality of Service in Cognitive Radio Network: Issues and Challenges

Oriental journal of computer science and technology, 2018

Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. There exists number of challenges and issues in designing and implementation of the cognitive radio. Extending quality-of-service (QoS) enabled applications to CR network is even more difficult task due to non-availability of the dedicated allocation of idle spectrum. CR imposes peculiar and unique challenges to guarantee quality of service of diverse flows in contrast to other wireless networks. This paper identifies the issues and challenges of QoS provisioning in cognitive radio networks.

Cognitive Radio Networks

Self-Organized Mobile Communication Technologies and Techniques for Network Optimization

The ever increasing demand for communication bandwidth has led to spectrum scarcity. We need to manage spectrum as a scare resource. Better utilization of spectrum is the key requirement for the radio communication systems. The inefficient usage of the existing spectrum can be improved through opportunistic access to the licensed bands without interfering with the primary users. This introduces the concept of dynamic spectrum access. Cognitive radio is must for providing quality of service in dynamic spectrum access. To deal with the cognition at physical layer, upper layers are also modified to support cognition and adaptation which make a network cognitive network. This book chapter describes the technical challenges and approaches for cognitive radio networks. Spectrum access models from regulatory point of view are presented. It also explains the challenges and solutions from literature for physical, MAC and network layer of cognitive networks. In the end of the chapter, real ho...