標(biāo)題: Titlebook: Handbook of Cognitive Radio; Wei Zhang Living reference work 20200th edition Spectrum Access.Spectrum Sharing.Spectrum Sensing.Spectrum P [打印本頁(yè)] 作者: estrange 時(shí)間: 2025-3-21 17:20
書目名稱Handbook of Cognitive Radio影響因子(影響力)
書目名稱Handbook of Cognitive Radio影響因子(影響力)學(xué)科排名
書目名稱Handbook of Cognitive Radio網(wǎng)絡(luò)公開度
書目名稱Handbook of Cognitive Radio網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Handbook of Cognitive Radio被引頻次
書目名稱Handbook of Cognitive Radio被引頻次學(xué)科排名
書目名稱Handbook of Cognitive Radio年度引用
書目名稱Handbook of Cognitive Radio年度引用學(xué)科排名
書目名稱Handbook of Cognitive Radio讀者反饋
書目名稱Handbook of Cognitive Radio讀者反饋學(xué)科排名
作者: Yag-Capsulotomy 時(shí)間: 2025-3-21 22:55 作者: Fortuitous 時(shí)間: 2025-3-22 01:51 作者: atopic 時(shí)間: 2025-3-22 07:05 作者: Myelin 時(shí)間: 2025-3-22 11:33
Coexistence of Heterogeneous Cellular Networks,roblem. This chapter also identifies the major challenges for addressing these problems, proposes the guidelines for devising potential solutions, and provides results of performance evaluation on the proposed solutions.作者: figure 時(shí)間: 2025-3-22 15:26 作者: 某人 時(shí)間: 2025-3-22 20:30 作者: CAMEO 時(shí)間: 2025-3-22 21:17
Cognitive Radio and TV White Space (TVWS) Applications,t improvements in detection probability of a DTT PU. Furthermore, by framing a novel margin strategy utilizing a ., the hidden node issue is resolved and a viable secondary user sensing solution formulated. Experimental results for a cognitive radio TVWS model have formalized both the bandwidth and 作者: 行業(yè) 時(shí)間: 2025-3-23 03:38
Cognitive Radio Networks for Delay-Sensitive Applications: Games and Learning, dynamics in the environment (e.g., incoming traffic, primary user activities). Finally, we introduce variations of the mechanisms that are suitable for networks with self-interested users. These mechanisms ensure efficient video resource allocation even when the users are self-interested and aim to作者: enumaerate 時(shí)間: 2025-3-23 06:49 作者: Stress 時(shí)間: 2025-3-23 16:53
Device-to-Device Communications over Unlicensed Spectrum,ny matching problem with externalities and develop an iterative user-subchannel swap algorithm. Analytical and simulation results show that the proposed D2D-U scheme can significantly improve the network capacity.作者: scotoma 時(shí)間: 2025-3-23 21:21
Dynamic Spectrum Access for Machine to Machine Communications: Opportunities, Standards, and Open Iwhich want to leverage DSA on M2M have to perform. At the end of the chapter, we present a proof of concept of a general framework, which can be applied to different scenario concerning M2M, encompassing all the spectrum management and measurement tasks M2M devices should generally perform. Finally,作者: Fecundity 時(shí)間: 2025-3-24 01:04
P. R. Louchez,J. G. Kawall,J. F. Kefferto-noise ratios, spectrum sensing may be based on second-order statistics recovered from the low rate samples. In particular, cyclostationary detection allows to differentiate between communication signals and stationary noise. Next, CR networks, that perform collaborative low rate spectrum sensing,作者: Hdl348 時(shí)間: 2025-3-24 03:24 作者: inculpate 時(shí)間: 2025-3-24 08:55
Introduction to Scalar and Stratified Flowsomous fashion. This is the focus of this chapter which discusses game-theoretic methods for self-optimization of cognitive mobile radios in spectrum sharing. The chapter will begin by reviewing the not-so-flexible spectrum management in cellular networks and then covering the topics of using forward作者: 高度表 時(shí)間: 2025-3-24 14:42 作者: 洞穴 時(shí)間: 2025-3-24 14:54 作者: faculty 時(shí)間: 2025-3-24 21:04 作者: ingestion 時(shí)間: 2025-3-25 00:46
Boundary Layer Turbulence Behavior,ng premium. Performance of CM is analyzed in two scenarios. Multiple real-time (RT) and non-RT users requesting for unicast downlink content are considered in the first scenario, while the second scenario considers multiple users requesting for scalable video content from the network. For the two sc作者: 短程旅游 時(shí)間: 2025-3-25 06:13
https://doi.org/10.1007/978-3-642-82770-9t improvements in detection probability of a DTT PU. Furthermore, by framing a novel margin strategy utilizing a ., the hidden node issue is resolved and a viable secondary user sensing solution formulated. Experimental results for a cognitive radio TVWS model have formalized both the bandwidth and 作者: Transfusion 時(shí)間: 2025-3-25 07:45
,Spezielle Probleme turbulenter Str?mungen, dynamics in the environment (e.g., incoming traffic, primary user activities). Finally, we introduce variations of the mechanisms that are suitable for networks with self-interested users. These mechanisms ensure efficient video resource allocation even when the users are self-interested and aim to作者: evanescent 時(shí)間: 2025-3-25 12:58 作者: 原始 時(shí)間: 2025-3-25 17:53
https://doi.org/10.1007/978-94-011-9592-8nd facilitates more efficient spectrum sharing. The chapter first introduces the idea of implicit cooperation through the use of inherent feedback information in cellular heterogeneous networks. Explicit cooperation is then discussed in the chapter before introducing the concept of cooperation in hy作者: 針葉樹 時(shí)間: 2025-3-25 20:27
B. Jack Copeland,Giovanni Sommarugany matching problem with externalities and develop an iterative user-subchannel swap algorithm. Analytical and simulation results show that the proposed D2D-U scheme can significantly improve the network capacity.作者: 衣服 時(shí)間: 2025-3-26 03:12
Turkey Diseases and Disorders Volume 2which want to leverage DSA on M2M have to perform. At the end of the chapter, we present a proof of concept of a general framework, which can be applied to different scenario concerning M2M, encompassing all the spectrum management and measurement tasks M2M devices should generally perform. Finally,作者: 粗野 時(shí)間: 2025-3-26 07:58
M. Shokr,J. F. Keffer,J. G. Kawalls a brief introduction to a variety of machine-learning techniques. The basic setup of machine learning, as well as the dichotomy, is explained. Then, the supervised, unsupervised, semi-supervised, and reinforcement learning techniques are briefly discussed. The single-agent learning is then extende作者: 天真 時(shí)間: 2025-3-26 08:56
P. R. Louchez,J. G. Kawall,J. F. Kefferion performance, real-time processing, and robustness to noise. Unfortunately, conventional spectrum sensing methods do not satisfy these demands. In particular, the Nyquist rate of signals typically sensed by a CR is prohibitively high so that sampling at this rate necessitates sophisticated and ex作者: 起草 時(shí)間: 2025-3-26 16:41 作者: 善于騙人 時(shí)間: 2025-3-26 17:48
Introduction to Scalar and Stratified Flowstrum holes or “white spaces,” we have witnessed many changes all over the world regarding how spectrum is being allocated. The message is clear, and that spectrum allocation needs to be more dynamic and adaptive to the environment and applications. However, dynamic spectrum sharing and access is com作者: 鋼筆尖 時(shí)間: 2025-3-26 21:14
A. Larousse,R. Martinuzzi,C. Tropearks (CRNs). This chapter considers a CRN with multiple primary users (PUs) and multiple secondary users (SUs) and presents two cooperative spectrum sensing and access (CSSA) schemes. The first CSSA scheme allows each SU to sense one channel and is formulated as a hedonic coalition formation game, wh作者: freight 時(shí)間: 2025-3-27 04:40
O. Simonin,E. Deutsch,M. Boivinopportunistic access to spectrum using cognitive radio (CR) technology. When heterogeneous cellular networks that are based on different wireless standards operate in the same spectrum band, coexistence issues can potentially cause major problems. Enabling coexistence via direct coordination between作者: 脫落 時(shí)間: 2025-3-27 05:19
https://doi.org/10.1007/978-3-642-46395-2), it conciliates the existing conflict between the ever-increasing spectrum demand and the currently inefficient spectrum utilization. The basic idea of DSA is to provide proper solutions that allow sharing radio spectrum among several radio communication systems and optimize the overall spectrum u作者: 異端 時(shí)間: 2025-3-27 11:53
Boundary Layer Turbulence Behavior, studies reveal that large part of the licensed spectrum is being underutilized. In this chapter, a cognitive multihoming (CM) framework is presented for the cellular network service providers to meet the escalating data demands and provide enhanced quality of service (QoS) to the users. In CM, the 作者: CANON 時(shí)間: 2025-3-27 16:05 作者: WAX 時(shí)間: 2025-3-27 20:57 作者: 凝結(jié)劑 時(shí)間: 2025-3-27 23:46
,Spezielle Probleme turbulenter Str?mungen,uire efficient utilization of spectrum resources. Born to utilize wireless spectrum more efficiently, cognitive radio networks are promising candidates for deployment of wireless video applications. In this chapter, we introduce our recent advances in . that enable multiuser wireless video applicati作者: 托人看管 時(shí)間: 2025-3-28 03:04 作者: CRANK 時(shí)間: 2025-3-28 07:01 作者: BARK 時(shí)間: 2025-3-28 11:01 作者: Ganglion 時(shí)間: 2025-3-28 16:45
https://doi.org/10.1007/978-94-011-9592-8 heterogeneous networks. Cellular heterogeneous networks consist of the existing macrocells plus shorter range cells referred to as small cells. Coexistence of macrocells and small cells sharing the same spectrum represents a special case of cognitive networking, where small cells and their users ca作者: Capture 時(shí)間: 2025-3-28 21:30
Christof Teuscher Dipl-Ing EPFL of the wireless channel, cooperation among sensing users is proposed as a promising solution. However, most designs of cooperative sensing strategies are developed in a rather ad hoc manner due to the lack of the fundamental knowledge on the cooperation gain. Hence, in this chapter, the cooperation作者: Adjourn 時(shí)間: 2025-3-29 02:36 作者: accordance 時(shí)間: 2025-3-29 03:06 作者: maverick 時(shí)間: 2025-3-29 09:47 作者: 現(xiàn)代 時(shí)間: 2025-3-29 13:31
https://doi.org/10.1007/978-0-333-97800-9threats in cognitive ratio networks is given. Focusing on the eavesdropping attack, a secrecy problem of the communication between a secondary transmitter-receiver pair in the presence of randomly distributed eavesdroppers is specifically investigated. The dynamic transmit power control is adopted a作者: Bone-Scan 時(shí)間: 2025-3-29 18:39
Adaptive Learning in Cognitive Radio,s a brief introduction to a variety of machine-learning techniques. The basic setup of machine learning, as well as the dichotomy, is explained. Then, the supervised, unsupervised, semi-supervised, and reinforcement learning techniques are briefly discussed. The single-agent learning is then extende作者: 600 時(shí)間: 2025-3-29 20:23 作者: Prophylaxis 時(shí)間: 2025-3-30 00:29
Application-Aware Spectrum Sharing,users are categorized based on applications running on their devices. They could be either delay-tolerant or real-time applications which are approximated by logarithmic utility functions and sigmoidal-like utility functions, respectively. The objective is to share spectrum resources from multiple b作者: 帶傷害 時(shí)間: 2025-3-30 05:45
Autonomous Spectrum Sharing by Well-Designed Games,trum holes or “white spaces,” we have witnessed many changes all over the world regarding how spectrum is being allocated. The message is clear, and that spectrum allocation needs to be more dynamic and adaptive to the environment and applications. However, dynamic spectrum sharing and access is com作者: CAB 時(shí)間: 2025-3-30 11:09
Coalition Formation Games for Cooperative Spectrum Sensing in Cognitive Radio Networks,rks (CRNs). This chapter considers a CRN with multiple primary users (PUs) and multiple secondary users (SUs) and presents two cooperative spectrum sensing and access (CSSA) schemes. The first CSSA scheme allows each SU to sense one channel and is formulated as a hedonic coalition formation game, wh作者: 壓迫 時(shí)間: 2025-3-30 14:16
Coexistence of Heterogeneous Cellular Networks,opportunistic access to spectrum using cognitive radio (CR) technology. When heterogeneous cellular networks that are based on different wireless standards operate in the same spectrum band, coexistence issues can potentially cause major problems. Enabling coexistence via direct coordination between作者: 使絕緣 時(shí)間: 2025-3-30 17:15
Cognitive Management Strategies for Dynamic Spectrum Access,), it conciliates the existing conflict between the ever-increasing spectrum demand and the currently inefficient spectrum utilization. The basic idea of DSA is to provide proper solutions that allow sharing radio spectrum among several radio communication systems and optimize the overall spectrum u作者: 初次登臺(tái) 時(shí)間: 2025-3-30 21:03 作者: synchronous 時(shí)間: 2025-3-31 02:21
Cognitive Radio and TV White Space (TVWS) Applications,spectrum capacity is required. Service providers are experiencing deployment blockages due to insufficient bandwidth being available to accommodate such devices. . (TVWS) represents an opportunity to supplement existing licensed spectrum by exploiting unlicensed resources. TVWS spectrum has material作者: AFFIX 時(shí)間: 2025-3-31 08:58
Cognitive Radio Network Security, an opportunistic manner. Although security in CRNs has received less attention than other areas of CR technology, the need for addressing security issues is evidenced by two facts. First, as for any other type of wireless network, an open channel is used for communications that can easily be access作者: Aerophagia 時(shí)間: 2025-3-31 13:12 作者: 駕駛 時(shí)間: 2025-3-31 13:25 作者: crockery 時(shí)間: 2025-3-31 20:11
Collaborative Spectrum Trading and Sharing for Cognitive Radio Networks,ach, unlicensed users (a.k.a. secondary users) offer licensed users (a.k.a. primary users) with monetary rewards or improved quality of services (QoSs) in exchange for spectrum access rights. In this chapter, we present a comprehensive introduction to spectrum trading. First, we provide a brief intr作者: Virtues 時(shí)間: 2025-4-1 01:03 作者: 母豬 時(shí)間: 2025-4-1 04:39
Cooperation in Cognitive Cellular Heterogeneous Networks, heterogeneous networks. Cellular heterogeneous networks consist of the existing macrocells plus shorter range cells referred to as small cells. Coexistence of macrocells and small cells sharing the same spectrum represents a special case of cognitive networking, where small cells and their users ca作者: 公共汽車 時(shí)間: 2025-4-1 07:39 作者: MUTED 時(shí)間: 2025-4-1 10:27 作者: 搏斗 時(shí)間: 2025-4-1 18:20
Distributed Resource Allocation for Network Virtualization,ility of users’ requirements, the resource management and allocation remain challenging. In this chapter, we first overview the development of mobile network. Based on the increasingly complicated mobile network, we analyze the current trends for service architecture, and show the features of distri作者: MOT 時(shí)間: 2025-4-1 18:58
Dynamic Spectrum Access for Machine to Machine Communications: Opportunities, Standards, and Open Ietween devices without human intervention. Hence, devices should be able to organize themselves and run the communication protocol autonomously. If cognitive radio is used, tasks such as dynamic spectrum access (DSA), spectrum sensing, and alike present additional challenges compared to traditional 作者: exquisite 時(shí)間: 2025-4-2 02:01
Dynamic Spectrum Sharing in Secure Cognitive Radio Networks,threats in cognitive ratio networks is given. Focusing on the eavesdropping attack, a secrecy problem of the communication between a secondary transmitter-receiver pair in the presence of randomly distributed eavesdroppers is specifically investigated. The dynamic transmit power control is adopted a作者: Abnormal 時(shí)間: 2025-4-2 05:02
