On increasing the spectral efficiency more than 100% by user-in-the-control-loop

Schoenen, Rainer

doi:10.1109/apcc.2010.5679756

Cited by 17 publications

(27 citation statements)

References 11 publications

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“…The analysis results suggest that the proposed approach works well, because the movement effort is low, while the gains are high. Results for other scenarios can be found in [12].…”

Section: Performance Resultsmentioning

confidence: 94%

User in the Loop: Mobility Aware Users Substantially Boost Spectral Efficiency of Cellular OFDMA Systems

2011

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Abstract-Wireless cellular networks perform with a system spectral efficiency which depends on the user terminal distribution over the cell area. Due to an adaptive modulation and coding scheme which depends on the signal-to-interference+noise (SINR) ratio, the achievable data rate is typically an order of magnitude higher in the cell center compared to the cell edge. The performance of IMT-Advanced cellular radio systems like IEEE 802.16m and 3GPP LTE-A will strongly depend on algorithms to cope with the low SINR in the service area. The new paradigm introduced in this paper motivates users to opportunistically change location according to operator recommendation displayed on the user terminal to achieve a much better SINR than currently available. Benefits are the increase of network capacity and higher data rates or potentially a financial incentive for the convinced users. Numeric results based on analysis of IMT scenarios are provided suggesting large cell spectral efficiency gains.

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“…The analysis results suggest that the proposed approach works well, because the movement effort is low, while the gains are high. Results for other scenarios can be found in [12].…”

Section: Performance Resultsmentioning

confidence: 94%

User in the Loop: Mobility Aware Users Substantially Boost Spectral Efficiency of Cellular OFDMA Systems

2011

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“…In this case the QUI has to be dynamic depending on the short-term load situation. Relocating can be an option [10], but conditional prices are possible easily with the UIL approach.…”

Section: A Long-term Traffic Controlmentioning

confidence: 99%

“…This goal can be the total spectral efficiency of a cellular network by convincing users to move from one location to a better one [10] or to postpone their use case out of the busy hour. There must be an incentive for the user, which is a better data rate in case of wireless best effort (BE) data traffic applications or a better price (discount, saving) on the cost per minute for voice and other real-time (RT) traffic applications.…”

Section: User In the Loopmentioning

confidence: 99%

Green communications by demand shaping and user-in-the-loop tariff-based control

Schoenen

Bulu

Mirtaheri

et al. 2011

2011 IEEE Online Conference on Green Communications

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Abstract-The new field of green communications can be divided into a) energy-efficient communications equipment or b) using information and communication technology to improve the world to become more energy aware. Mobile data traffic and utility energy consumption have a lot in common. There is a limited supply due to limited resources, and only growth (of quantities, technology) can increase this, at the cost of a higher carbon footprint. The green index is defined here for cellular wireless.On the other hand there is a demand which is user-generated, variable over time and space, and ever increasing at a fast pace. Flat rates or almost flat utility tariffs have spoiled users and established high user expectations. Instead of engineering for the growth of supply, this paper investigates how to engineer for controlling the demand side. Dealing with congestion is a consequence of the supply=demand regime and the end of overprovisioning. New tariffs are required that are tailored to the major QoS classes and help to shape demand at the user and application level. This paper investigates QoS-aware demand shaping and control by user-in-the-loop and tariff-based control.

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“…Spatial UIL control has been treated in [5], [8], [9], providing substantial gains in spectral efficiencyγ. Recent survey results support the assumptions [10], [11].…”

Section: User In the Loop In Space And Timementioning

confidence: 99%

Economics of user-in-the-loop demand control with differentiated QoS in cellular networks

Schoenen

Yanıkömeroğlu

2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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Abstract-Increasing cellular traffic is the driving force for innovations in wireless communications. While voice traffic is not expected to increase much and does not require 4G systems, traffic for video and data applications is expected to grow with a rate of 100% per year. Smart mobile devices, tablets and laptop dongles will certainly make this a reality. On the other hand the supply side cannot grow with the same rate. Base stations, eNB, pico-and femtocells will bring more heterogeneity in space and new applications will bring more heterogeneity in demand over time. Designing for over-provisioning capacity has been the standard approach to stabilize traffic, but is will be harder and harder, with more congestion situations in time (busy hour) and space (crowded cell) which will break application traffic and give bad quality-of-experience of users. Furthermore, overprovisioning comes with more power consumption and higher financial expenditures for infrastructure and operating costs.The user-in-the-loop (UIL) approach offers a solution orthogonal to the traditional supply-only view. In addition to technical improvements, having a temporal demand control can alleviate the severity of busy-hour situations which formerly caused congestion and connection failures. Demand shaping is implemented by a dynamic usage-based tariff and adaptive rates depending on the load condition. The users in a cell are part of a closed control loop which reacts in cases of severe demand overload. In this paper three different service classes are controlled individually and results from analysis and simulation show the performance in stationary and dynamic scenarios. The economics of tariffs and dynamic prices and the resulting operator revenue on one side is compared to the dissatisfaction of rejected users and this gives decision indicators for the investment into new infrastructure. Overall this saves money, energy and turns situations of hard congestion into an elastic stationarity which is in the interest of both users and operators.

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On increasing the spectral efficiency more than 100% by user-in-the-control-loop

Cited by 17 publications

References 11 publications

User in the Loop: Mobility Aware Users Substantially Boost Spectral Efficiency of Cellular OFDMA Systems

User in the Loop: Mobility Aware Users Substantially Boost Spectral Efficiency of Cellular OFDMA Systems

Green communications by demand shaping and user-in-the-loop tariff-based control

Economics of user-in-the-loop demand control with differentiated QoS in cellular networks

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