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Cognitive radio (CR) technology is regarded as a promising solution to the spectrum scarcity problem. Due to the spectrum varying nature of CR networks, unlicensed users are required to perform spectrum handoffs when licensed users reuse…

信息论 · 计算机科学 2011-05-05 Yi Song , Jiang Xie

In this paper, a novel spectrum association approach for cognitive radio networks (CRNs) is proposed. Based on a measure of both inference and confidence as well as on a measure of quality-of-service, the association between secondary users…

网络与互联网体系结构 · 计算机科学 2015-08-13 Raghed El-Bardan , Walid Saad , Swastik Brahma , Pramod K. Varshney

Cognitive (Radio) (CR) Communications (CC) are mainly deployed within the environments of primary (user) communications, where the channel states and accessibility are usually stochastically distributed (benign or IID). However, many…

网络与互联网体系结构 · 计算机科学 2015-08-03 Pan Zhou , Chenhui Hu , Tao Jiang , Dapeng Wu

Owing to the ever-increasing demand in wireless spectrum, Cognitive Radio (CR) was introduced as a technique to attain high spectral efficiency. As the number of secondary users (SUs) connecting to the cognitive radio network is on the…

信息论 · 计算机科学 2020-04-10 Thulasi Tholeti , Vishnu Raj , Sheetal Kalyani

We design approximate weakly group strategy-proof mechanisms for resource reallocation problems using Milgrom and Segal's deferred acceptance auction framework: the radio spectrum and network bandwidth reallocation problems in the…

计算机科学与博弈论 · 计算机科学 2015-09-22 Anthony Kim

The issue of spectrum scarcity in wireless networks is becoming prominent and critical with each passing year. Although several promising solutions have been proposed to provide a solution to spectrum scarcity, most of them have many…

信号处理 · 电气工程与系统科学 2019-10-29 Khush Bakht , Furqan Jameel , Zain Ali , Wali Ullah Khan , Imran Khan , Guftaar Ahmad Sardar Sidhu , Jeong Woo Lee

Spectrum sensing is a key technology for cognitive radios. We present spectrum sensing as a classification problem and propose a sensing method based on deep learning classification. We normalize the received signal power to overcome the…

信号处理 · 电气工程与系统科学 2019-09-16 Shilian Zheng , Shichuan Chen , Peihan Qi , Huaji Zhou , Xiaoniu Yang

In this letter, the problem of spectrum sensing is addressed for noncircular (NC) signal in cognitive radio networks with uncalibrated multiple antennas. Specifically, by taking both the standard covariance and complementary covariance…

信号处理 · 电气工程与系统科学 2019-12-17 An-Zhi Chen , Zhi-Ping Shi

Secure spectrum auctions can revolutionize the spectrum utilization of cellular networks and satisfy the ever increasing demand for resources. In this paper, a multi-tier dynamic spectrum sharing system is studied for efficient sharing of…

网络与互联网体系结构 · 计算机科学 2016-10-25 Ahmed Abdelhadi , Haya Shajaiah , Charles Clancy

The proliferation of wireless services and applications over the past decade has led to the rapidly increasing demand in wireless spectrum. Hence, we have been facing a critical spectrum shortage problem even though several measurements…

网络与互联网体系结构 · 计算机科学 2016-01-20 Le Thanh Tan

Cognitive radio is a potential solution to meet the upcoming spectrum crunch issue. In a cognitive radio, spectrum holes can be identified using spectrum sensing techniques. A high resolution spectrum hole detection can ensure even the…

信号处理 · 电气工程与系统科学 2022-07-05 Sushmitha Sajeevu , Sakthivel Vellaisamy

The incorporation of Cognitive Radio (CR) and Energy Harvesting (EH) capabilities in wireless sensor networks enables spectrum and energy efficient heterogeneous cognitive radio sensor networks (HCRSNs). The new networking paradigm of…

网络与互联网体系结构 · 计算机科学 2016-04-07 Deyu Zhang , Zhigang Chen Ju Ren , Ning Zhang , Mohamad Khattar Awad , Haibo Zhou , Xuemin , Shen

In this paper, we investigate the joint optimal sensing and distributed Medium Access Control (MAC) protocol design problem for cognitive radio (CR) networks. We consider both scenarios with single and multiple channels. For each scenario,…

信息论 · 计算机科学 2014-04-08 Le Thanh Tan , Long Bao Le

In Cognitive Radio Networks (CRNs), secondary users (SUs) are allowed to opportunistically access the unused/under-utilized channels of primary users (PUs). To utilize spectrum resources efficiently, an auction scheme is often applied where…

网络与互联网体系结构 · 计算机科学 2012-07-30 Shuang Li , Zizhan Zheng , Eylem Ekici , Ness Shroff

Due to ever increasing usage of wireless devices and data hungry applications, it has become necessary to improve the spectral efficiency of existing wireless networks. One way of improving spectral efficiency is to share the spectrum…

信号处理 · 电气工程与系统科学 2019-05-14 Shailesh Chaudhari

In this paper, we investigate different secrecy energy efficiency (SEE) optimization problems in a multiple-input single-output underlay cognitive radio (CR) network in the presence of an energy harvesting receiver. In particular, these…

In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a…

网络与互联网体系结构 · 计算机科学 2013-09-26 Ahmed El Shafie , Ahmed Sultan

In this paper, a new cooperation structure for spectrum sensing in cognitive radio networks is proposed which outperforms the existing commonly-used ones in terms of energy efficiency. The efficiency is achieved in the proposed design by…

信息论 · 计算机科学 2015-09-11 Younes Abdi , Tapani Ristaniemi

As the scarce spectrum resource is becoming over-crowded, cognitive radios (CRs) indicate great flexibility to improve the spectrum efficiency by opportunistically accessing the authorized frequency bands. One of the critical challenges for…

信息论 · 计算机科学 2011-03-01 Xianfu Chen , Zhifeng Zhao , Honggang Zhang

In this work we study energy-efficient transmission for Cognitive Radio (CR) which opportunistically operates on Primary User's (PU's) channel through spectrum sensing. Spectrum sensing and compulsory idling (for incumbent protection)…

网络与互联网体系结构 · 计算机科学 2012-05-09 Yuan Wu , Vincent K. N. Lau , Danny H. K. Tsang , Liping Qian