Dynamic spectrum access models: toward an engineering perspective in the spectrum debate

Ileri, O.; Mandayam, Narayan B.

doi:10.1109/mcom.2008.4427243

Cited by 44 publications

(26 citation statements)

References 12 publications

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“…As a large portion of the assigned spectrum is used sporadically, leading to underutilization of significant amounts of spectrum [5], significant advances have been achieved in the dynamic use of spectrum by new high-speed access technologies. One key enabling technology of dynamic spectrum access is cognitive radio (CR), which provides the capability to share the wireless channel with licensed users in an opportunistic manner [6].…”

Section: Spectrum Managementmentioning

confidence: 99%

Technology and market conditions toward a new competitive landscape in the wireless access market

2010

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This article argues that the wireless telecommunication\ud market is about to witness a shift in\ud business models and market structure as a result\ud of the deployment of new broadband access\ud technologies, spectrum management techniques,\ud policy-based network management, and the drive\ud of new entrants to compete against the incumbents.\ud The article discusses four agents of evolutionary\ud changes: a range of broadband wireless\ud access standards and technologies that are frontrunners\ud in the industry’s efforts to embody the\ud next generation of wireless networks; new\ud provider-customer relationships facilitated\ud through changes in the usual contract patterns\ud that will allow consumers to enter short-term\ud and spot contracts with the new wireless providers;\ud an overview of the current debate on\ud spectrum management; and an explanation of\ud how autonomic communications and policybased\ud management would support the new structure.\ud Finally, the article asserts the necessity for\ud the integration of the heterogeneous technologies\ud that make up this emerging, hybrid wireless\ud landscape, and describes the economic characteristics\ud of a new competitive scenario.Postprint (published version

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Section: Spectrum Managementmentioning

confidence: 99%

Technology and market conditions toward a new competitive landscape in the wireless access market

2010

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“…In the Spectrum Property Rights Model [36,59], the free or underutilized resources can be dynamically bought and sold by the license holder, depending on their users' requests. Even though the Spectrum Property Rights Model introduces flexibility in spectrum management, white spaces resulting from the bursty nature of wireless traffic are difficult to be eliminated through this technique [59].…”

Section: Description Problems and Challenges In Dsamentioning

confidence: 99%

“…An alternative is represented by the Open Sharing Model (also named Spectrum Commons Model [36,59]). In practice, in Open Sharing Models a "lightly controlled" shared access is performed [36].…”

Section: Description Problems and Challenges In Dsamentioning

confidence: 99%

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Bio-inspired Cognitive Radio for Dynamic Spectrum Access

Oliveri

Ottonello

Regazzoni

2009

Autonomic Computing and Networking

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Dynamic Spectrum Access (DSA) has raised the attention of industrial and academic researchers due to the fact that it is seen as a technology able to overcome the lack of available spectrum for new communication services. In particular autonomic DSA (ADSA) systems are indicated as a solution to spectrum scarcity caused by the current "command and control" allocation paradigm. However, ADSA requires a higher level of reconfigurability with respect to traditional wireless systems. In this context, one of the technologies that can provide such flexibility is the promising Cognitive Radio (CR). In a ADSA scenario, CR should sense the spectrum to find the resources unused by primary (licensed) users, which could then be exploited by secondary (unlicensed) CR users to increase the overall system efficiency. In the present chapter, a comprehensive overview of CR applications to ADSA is carried out; in particular, attention is paid to the potentialities of autonomic bio-inspired approaches, and on their advantages in the solution of the challenges of ADSA systems.

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“…In Cognitive Radio (CR) [8] and Dynamic Spectrum Access (DSA) Network [9], spectrum sensing [10][11] [12] is an important process for the secondary user (SU) to detect spectrum usage status to avoid interference from/to the primary user (PU). As the basic function, spectrum sensing technologies help detect the existence of licensed signals in some specific frequency band.…”

Section: Introductionmentioning

confidence: 99%

Energy ratio based WiFi OFDM leakage detection in LTE downlink for in-device interference avoidance

Plumb

2014

2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)

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Abstract-To allow users to access wireless networks and services ubiquitously, more and more user equipments (UEs) are equipped with multiple radio transceivers. However, due to the proximity of transmit and receive frequencies of indevice wireless technologies, the transmitter (TX) of one in-device wireless technology can interfere with the reception of another wireless technology within the same device, and the spurious emissions of the aggressor TX may result in unacceptable interference at the victim receiver which is co-located in the same device. Without central control or cooperation of these transceivers, the receiver (RX) cannot determine the source of the interference. Hence, it has been attracting strong attention to detect in-device interference and adapt strategies to avoid harmful interference. In this paper, we consider the scenario of LTE coexisting with WiFi OFDM signal in the same device. Different from traditional spectrum sensing in cognitive radio, the WiFi leakage detection problem in this paper aims to detect WiFi leakage in the background of LTE signal and Gaussian noise (due to the short distance, AWGN channel will be dominant scenario). Therefore, traditional spectrum sensing algorithms such as energy detection cannot be applied directly. By identifying unique features of the WiFi leakage, we propose a simple yet effective detection algorithm based on energy ratio to successfully detect the WiFi leakage. Specifically, taking advantage of the unbalanced spectrum feature of the WiFi leakage, we utilize the energy ratio between the higher frequency component and the total frequency component as the detection metric. We theoretically analyze the energy ratio, and derive the detection probability and false alarm probability. Simulation results are presented to illustrate the effectiveness and efficiency of the proposed scheme, and validate the theoretical analysis.

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Dynamic spectrum access models: toward an engineering perspective in the spectrum debate

Cited by 44 publications

References 12 publications

Technology and market conditions toward a new competitive landscape in the wireless access market

Technology and market conditions toward a new competitive landscape in the wireless access market

Bio-inspired Cognitive Radio for Dynamic Spectrum Access

Energy ratio based WiFi OFDM leakage detection in LTE downlink for in-device interference avoidance

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