Cognitive Radios With Multiple Antennas Exploiting Spatial Opportunities

Bixio, Luca; Oliveri, Giacomo; Ottonello, Marina; Raffetto, Mirco; Regazzoni, Carlo S.

doi:10.1109/tsp.2010.2048322

Cited by 57 publications

(49 citation statements)

References 26 publications

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“…Recently, the birth of new wireless technologies and applications is creating some issues in the allocation of the available radio resources [1], [2]. As a matter of fact, in order to guarantee the coexistence among different wireless services, the governmental regulatory agencies at present apply the fixed spectrum allocation, by assigning different portions of the radio spectrum to different applications [2], [3].…”

Section: Introductionmentioning

confidence: 99%

“…As a matter of fact, in order to guarantee the coexistence among different wireless services, the governmental regulatory agencies at present apply the fixed spectrum allocation, by assigning different portions of the radio spectrum to different applications [2], [3]. By adopting this approach, the unlicensed frequency bands are going to disappear [4].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, cognitive (secondary) users can be allowed to opportunistically access to licensed frequency bands if legacy (primary) users are not using it and without causing interference [2], [7].…”

Section: Introductionmentioning

confidence: 99%

“…One of the main challenges in this context is to perform a fast and reliable spectrum sensing phase, which should allow to determine if a given channel is occupied by a primary user and what is the employed transmission standard [2], [7]. Such information can be useful not only to permit a real time identification of the so called spectrum holes [1], but also to predict the length of the possible unused parts of the spectral resource, by estimating key parameters (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The reliability represents a key feature of the spectrum sensing phase, since harmful interferences to primary users should be avoided in the CR approach [1], [2] and as a consequence, the so called "probability of false opportunity detection" should be minimized [7]. Although a high number of different spectrum sensing techniques have been proposed in the open literature, e.g.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A comparison among cooperative spectrum sensing approaches for cognitive radios

Bixio

Ottonello

Raffetto

et al. 2010

2010 2nd International Workshop on Cognitive Information Processing

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Abstract-In this paper, a comparison among different cooperative spectrum sensing approaches is provided. It is assumed that the secondary terminals autonomously perform local spectrum sensing and forward their decision to a fusion center. It combines the received data to obtain the global decision, i.e. the presence or the absence of the primary user in the monitored environment. In particular, three fusion rules, i.e. OR, AND and optimal, are compared in terms of required processing capabilities at the fusion center and at the secondary terminals, and required control channel capacity. Numerical simulations in a practical heavy multipath environment are provided to compared the performances of the considered approaches.Index Terms-Cooperative spectrum sensing, optimal fusion rule, logical fusion rule, cognitive radio.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A comparison among cooperative spectrum sensing approaches for cognitive radios

Bixio

Ottonello

Raffetto

et al. 2010

2010 2nd International Workshop on Cognitive Information Processing

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Green cell association for multimedia transmission in cognitive heterogeneous networks

Chen²,

Chen

et al. 2013

Int J Communication

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With the introduction of low-powered pico/femto-base stations and relay nodes into the macro-cell, recent heterogeneous networks provide an attractive approach for future wireless communication. Although it may achieve better coverage and higher capacity, several problems remain unsolved before practical deployment. For example, how to select the proper cell from neighbor low-powered cells and then occupy the radio resource without interference on macro-users is both important and challenging, especially for rigorous multimedia applications. The traditional cell access algorithms and quality-control parameters such as delay or throughput no longer suit well in this complex environment. An effective approach should be pursued. In this paper, we investigate this interesting cell association problem and propose a complete green resolution on the basis of thorough discussions about the multimedia transmission under these concerns. Cognitive radio is introduced to share spectrum between macro-cell and low-powered cells while securing the transmission of authorized macro-users. We also bring forth the concept of 'interference balance' to better manage the overall interference and energy consumption in the network. Restless bandit model is formulated on the basis of channel state, data rate, interference control, and the carefully chosen intra-refreshing rate for multimedia traffic. Then the cell association scheme is designed to be efficient and practical because of the simple index property of our model output. Simulation results have proven the performance of our proposed resolution compared with existing algorithms on interference constraint, multimedia distortion, and overall network energy consumption balance. CELL ASSOCIATION IN COGNITIVE HETEROGENEOUS NETWORKS 531 heterogeneous networks [1]. Although it provides a promising direction for future wireless communication, many important issues need to be resolved before practical implementation.Considering the random installation from the users, it is hard to pre-allocate resources among macro-cells and low-powered cells [2]. Therefore, cognitive radio is introduced into the lowpowered nodes for available channels without impact on the ordinary work of the macro-cell [3]. As these cells often gather in neighborhood because of people aggregation, the terminal has to decide which cell to connect to. The decision of cell association should consider many factors in this complicated transmission environment, such as available bandwidth, channel state, traffic load, interference control, and energy consuming state (especially for battery nodes).Existing work has been carried out in the related fields. As to the macro-cell, there have been a large amount of research results, from both inter-cell resource allocation and power or bandwidth assignment in a single cell. Sadiq et al. [4] have given a comprehensive overview. For femto-cells, which have attracted increasing attention recently, handover with macro-cell, channel occupancy, and interference control are all interest...

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Joint Channel Maximization and Estimation in Multiuser Large-Scale MIMO Cognitive Radio Systems Using Particle Swarm Optimization

Hefnawi

2016

Lecture Notes in Electrical Engineering

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Cognitive Radios With Multiple Antennas Exploiting Spatial Opportunities

Cited by 57 publications

References 26 publications

A comparison among cooperative spectrum sensing approaches for cognitive radios

A comparison among cooperative spectrum sensing approaches for cognitive radios

Green cell association for multimedia transmission in cognitive heterogeneous networks

Joint Channel Maximization and Estimation in Multiuser Large-Scale MIMO Cognitive Radio Systems Using Particle Swarm Optimization

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