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Energy-Aware Scheduling for Multi-Hop Cognitive Radio Networks | IEEE Journals & Magazine | IEEE Xplore

Energy-Aware Scheduling for Multi-Hop Cognitive Radio Networks


Abstract:

Cognitive radio (CR) technology, which enables unlicensed secondary users to opportunistically access the unused licensed spectrum, has attracted more and more attention ...Show More

Abstract:

Cognitive radio (CR) technology, which enables unlicensed secondary users to opportunistically access the unused licensed spectrum, has attracted more and more attention from both academia and industry due to its potential to significantly improve the spectrum utilization. Considering both temporal and spatial variations of spectrum availability, this paper focuses on improving the energy efficiency in CR networks by opportunistically serving the delay-tolerant data only when enough spectrum is available. Based on this idea, a stochastic optimization problem is formulated to integrate the power control, link scheduling, and routing, which minimizes the expected power consumption while guaranteeing the system stability. To obtain the solution, we use the Lyapunov optimization technique and design an online algorithm, which solves a sub-problem without future knowledge of the related stochastic models (e.g., random data arrival and spectrum supply). Besides, in view of the NP-hardness of the sub-problem, we also develop a heuristic algorithm based on branch-and-bound framework to obtain the approximate solution with low computing complexity. Theoretical analysis shows that our algorithm offers an explicit tradeoff between energy consumption and delay performance. Numerical results also confirm the effectiveness of our solutions.
Page(s): 397 - 410
Date of Publication: 03 October 2016

ISSN Information:

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I. Introduction

The rapid growth in popularity of wireless devices, such as smartphones and tablets, and the surge of various mobile applications, such as online social networking and mobile gaming, have resulted in recent booming of data services. The ever growing data services directly lead to the exponential increase in data traffic and the increasing demand for spectrum resource in wireless networks. In parallel with that, recent studies [1], [2] show that even in the most crowed region of big cities (e.g., Washington, Chicago, New York City, etc.), many licensed spectrum blocks are not efficiently utilized in certain geographical areas and are idle most of the time, mainly due to the static spectrum allocation regulation of Federal Communications Commission (FCC). Such circumstances motivate FCC to open up the licensed spectrum bands and search for new innovative technologies to encourage dynamic use of the under-utilized spectrum. As one of the most promising solutions, cognitive radio (CR) technique enables unlicensed secondary users (SUs) to opportunistically access vacant licensed spectrum as long as it does not disrupt the quality of service of licensed spectrum holder, which can significantly improve the utilization of spectrum resource.

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