Carrier Frequency Dependent Downlink Spectral Efficiency of Cellular LTE Deployments

Krondorf, M.; Fettweis, Gerhard

doi:10.1109/icc.2009.5198811

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…In the first stage we categorize users on the basis of their velocity: pedestrian, urban and high-velocity user groups and perform feedback delay analysis of these groups. This categorization is generally followed in several wireless standards [5]. The main reason for categorizing the users for our study is to reduce feedback overhead while implementing our adaptive feedbackscheduler in a practical system.…”

Section: A Motivation and Contributionmentioning

confidence: 99%

Minimizing the Effect of Feedback Delay in a Multi-User System through Adaptive Feedback Scheduling

Bhamri

Hämäläinen

Kaltenberger

et al. 2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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In this paper, we analyze the downlink performance of a multi-user system consisting of mobile users with wide range of velocity. We categorize these users into different groups on the basis of their velocity range and study the impact of feedback delay on each group for closed-loop transmit beamforming. Based on this analysis, we propose an adaptive feedback-scheduling algorithm to minimize the effect of feedback delay on the performance of the system. We derive generalized performance measuring expressions for the proposed algorithm and carry out simulations to validate the analysis.

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Section: A Motivation and Contributionmentioning

confidence: 99%

Minimizing the Effect of Feedback Delay in a Multi-User System through Adaptive Feedback Scheduling

Bhamri

Hämäläinen

Kaltenberger

et al. 2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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“…Although the N-dimensional metric space is a rather straightforward concept, we believe that its importance has not been emphasized enough in the engineering community, perhaps partly owing to its perceived obviousness. An exemplary paper making use of N-dimensional efficiency analysis is the study of various system aspects of LTE in [7]; unfortunately such analyses are rather rare, both in the research literature and in particular in technical arguments put forward in the context of spectrum allocation debates and regulation.…”

Section: A N-dimensional Design Spacementioning

confidence: 99%

“…4) as a means of explicitly articulating this relationship between engineering and policy. Our technology circle generalizes the seven-layer OSI network protocol stack by adding Layer Zero, the regulatory rules 7 that constrain what may be implemented at the networking layers, and Layer Eight, the business and social practices that are built on the network, and that inform regulatory decisions at Layer Zero.…”

Section: A Technology Circlementioning

confidence: 99%

Illuminating the Road from Engineering and Policy to Radio Regulation

Mähönen

Petrova

Vries³

2012

SSRN Journal

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The relationship between engineering practice and technology policy is a perennial question. In this paper, we examine it in the context of the spectrum regulation debate. There is a widely held belief that regulatory and policy decisions can be justified, and indeed quantified, based on hard engineering and science facts. Similarly it is often felt that regulatory and policy domain issues should not stifle innovation by dictating the course of technology development for broadband radio systems. In this paper we strongly argue against such views and contend that key policy decisions in communications must be connected to engineering in a more explicit and nuanced way. We hold that policy makers' belief in "technology neutral" regulation is an illusion; engineering results are often used by businesses and politicians to justify their actions and promote their interests, yet the engineering means to achieve social ends are usually far upstream from political outcomes, and their connection is tenuous. Conversely, wireless communications engineers typically focus on the network protocol stack, ignoring the broader socio-economical context of their work. We show that is useful to consider a more holistic framework for radio system design that includes not just the network protocol layers but also the regulatory and commercial aspects of the technology. Given the inevitable complexity of the decision space in spectrum regulation, we believe that transparency and taking a systems view are essential for supporting evidence-based decision making around wireless technology policy and spectrum regulation. We ground our work in a technical case study, considering the extent to which engineering results can (or cannot) be used to argue the benefits of unlicensed spectrum allocation in the TV white spaces. We critique the unsophisticated use of spectrum efficiency metrics by providing a framework that demonstrates the many ways in which metrics can be constructed and interpreted. We emphasize the importance of N-dimensional engineering analysis to properly reason about the complex technical design space of modern wireless systems, and of the disclosure of financial interests by expert interlocutors. We frame our analysis of the relationship between engineering and policy using a technology circle which generalizes the seven-layer OSI network protocol stack by adding Layer Zero, the regulatory rules that constrain what may be implemented at the networking layers, and Layer Eight, the business and social practices that are built on the network, and that inform regulatory decisions at Layer Zero. Finally, we advocate the use of a fail-safe design philosophy to inform engineering work and regulatory decisions. We believe that our recommendations would make the interaction between wireless engineering and radio regulation more effective, thus strengthening the spectrum regulation and policymaking process.

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From protocol stack to technology circle: exploring regulation, efficiency metrics, and the high-dimensional design space of wireless systems

2012

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Carrier Frequency Dependent Downlink Spectral Efficiency of Cellular LTE Deployments

Abstract: This paper explains a system level evaluation framework which allows performance assessment of cellular OFDMbased systems at different carrier frequencies. In the numerical examples we model the downlink transmission of an 3GPP LTE deployment.

Cited by 3 publications

References 5 publications

Minimizing the Effect of Feedback Delay in a Multi-User System through Adaptive Feedback Scheduling

Minimizing the Effect of Feedback Delay in a Multi-User System through Adaptive Feedback Scheduling

Illuminating the Road from Engineering and Policy to Radio Regulation

From protocol stack to technology circle: exploring regulation, efficiency metrics, and the high-dimensional design space of wireless systems

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