Spectrum Allocation and QoS Provisioning Framework for Cognitive Radio With Heterogeneous Service Classes

Abstract

Abstract-Cognitive radio (CR) networks will enable dynamic spectrum re-use and thereby accelerate the adoption of high bandwidth services in available licensed frequencies with better channel characteristics. However, the possibility of the licensed user reclaiming the channel raises additional concerns on how best to reserve resources for secondary users (SUs) that are likely to have different qualities of service (QoSs) depending on their application requirements. This paper addresses the problem of spectrum resource management for co-located SUs with both streaming and intermittent data by efficiently identifying the number of backup channels that will ensure seamless end to end service. The contributions of this paper are threefold: First, a comprehensive analytical framework based on queueing theory is devised to calculate the theoretical delay in accessing the spectrum depending on the required QoS, with guidelines on how to optimize the set of back-up channels for possible future use; second, a method of spectrum allocation for SUs with these different QoS demands is formulated, especially as they co-exist and affect the performance of each other; third, a case study of applying these techniques in a novel application area of wireless medical telemetry is presented. Results reveal that the simulated spectral efficiency of the channel allocation using our approach matches closely with our theoretical predictions, within a 5% bound.

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

“…The spectrum allocation algorithm developed in [166] can be leveraged by the IEEE 802.19.1 to allocate available TVWS channels to many hybrid networks with different QoS requirements. In this work, the authors first characterize the theoretical time of a SU using the spectrum depending on its required QoS.…”

QoS Framework for a Multi-stack based Heterogeneous Wireless Sensor Network

“…Huge effort has been made by many researchers to overcome these kinds of constraints to support applications with varied data types. In [3], the authors have formulated an allocation scheme for channel to support various classes of QoS on the spectrum using Markovain models. This scheme has been tested with real world reading for a wireless medical sensor network and the results proved good.…”

Primary User-Awareness-Based Energy-Efficient Duty-Cycle Scheme in Cognitive Radio Networks

“…In the transmission of multi-hop CRNs, available channels of SUs change from time to time and hop by hop [11][12][13]. If PU's activity is frequent, the SUs will have no common available channels with their neighbors, and it cannot transmit or be an intermediate node for any transmission.…”