Spectrum estimation methodology for next generation wireless systems

Irnich, Tim; Walke, Bernhard

doi:10.1109/pimrc.2004.1368340

Cited by 6 publications

(3 citation statements)

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“…This model has been known in the literature as the Cobham model [45]. For a short description of the model, the reader is referred to [29], for an applied version the reader is referred to [46]. For the Cobham model, the capacity for each scenario is obtained as follows:…”

Section: Required Capacitymentioning

confidence: 99%

Spectrum Demand Forecasting for IoT Services

Jaramillo-Ramírez

Pérez

2021

Future Internet

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The evolution of IoT has come with the challenge of connecting not only a massive number of devices, but also providing an always wider variety of services. In the next few years, a big increase in the number of connected devices is expected, together with an important increase in the amount of traffic generated. Never before have wireless communications permeated so deeply in all industries and economic sectors. Therefore, it is crucial to correctly forecast the spectrum needs, which bands should be used for which services, and the economic potential of its utilization. This paper proposes a methodology for spectrum forecasting consisting of two phases: a market study and a spectrum forecasting model. The market study determines the main drivers of the IoT industry for any country: services, technologies, frequency bands, and the number of devices that will require IoT connectivity. The forecasting model takes the market study as the input and calculates the spectrum demand in 5 steps: Defining scenarios for spectrum contention, calculating the offered traffic load, calculating a capacity for some QoS requirements, finding the spectrum required, and adjusting according to key spectral efficiency determinants. This methodology is applied for Colombia’s IoT spectrum forecast. We provide a complete step-by-step implementation in fourteen independent spectrum contention scenarios, calculating offered traffic, required capacity, and spectrum for cellular licensed bands and non-cellular unlicensed bands in a 10-year period. Detailed results are presented specifying coverage area requirements per economic sector, frequency band, and service. The need for higher teledensity and higher spectral efficiency turns out to be a determining factor for spectrum savings.

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Section: Required Capacitymentioning

confidence: 99%

Spectrum Demand Forecasting for IoT Services

Jaramillo-Ramírez

Pérez

2021

Future Internet

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“…The queuing model chosen for this work is M/G/1, see [6] and [7] for details. With the following input parameters the system capacity C can be calculated, and it is necessary to obtain the mean delay required [8].…”

Section: Traffic Theorymentioning

confidence: 99%

Intra-Operator Inter-Mode Spectrum Sharing

Obeso

Luo

Halfmann

et al. 2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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A new method for spectrum sha-ring for a single operator is presented. One operator with its frequency band divided into three bands is assumed: one central band for the TDD mode and two more in the sides for the up and downlink of the FDD mode. The idea is to share resources between these bands, when required. Two different approaches are proposed: block-wise sharing approach, where a fixed block of frequencies can belong to either TDD or FDD, depending on the necessities; and tunable carrier frequency approach, where the exact bandwidth to be transferred is previously calculated. The fresh results give the industry and regulatory bodies a good reference for spectrum management schemes towards future IMT-A systems.

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“…For circuit switched services, the required capacity is calculated by a multidimensional Erlang-B formula [8], while for packetswitched services the required capacity is calculated using the M/G/1 non-preemptive priority queuing model [9]. Equation (1) …”

Section: System Capacitymentioning

confidence: 99%

Calculation of Spectral Efficiency for Estimating Spectrum Requirements of IMT-Advanced in Korean Mobile Communication Environments

Chung¹,

Lim²,

Yook³

et al. 2007

ETRI J

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In this paper, we analyze the algorithm of the methodology developed by ITU for the calculation of spectrum requirements of IMT-Advanced. We propose an approach to estimate user density using traffic statistics, and to estimate spectrum efficiencies using carrier-to-interference ratio distribution and capacity theory as well as experimental data under Korean mobile communication environments. We calculate the IMT-Advanced spectrum requirements based on the user density and spectral efficiencies acquired from the new method. In the case of spectral efficiency using higher modulation and coding schemes, the spectrum requirement of IMT-Advanced is approximately 2700 MHz. When applying a 2×2 multiple-input multiple-output (MIMO) antenna system, it is approximately 1500 MHz; when applying a 4×4 MIMO antenna system, it is approximately 1050 MHz. Considering that the development of new technology will increase spectrum efficiency in the future, the spectrum requirement of IMT-Advanced in the Korean mobile communication environment is expected to be approximately 1 GHz bandwidth.Keywords: Spectral efficiency, spectrum requirements, IMT-Advanced. Manuscript received Apr. 25, 2006; revised Feb. 12, 2007. Woo-Ghee Chung (phone: + 82 31 639 5877, email: wgchung@chungkang.ac.kr) is with the Department of Mobile Communications, Chungkang College of Cultural Industries, Gyeonggi-do, Korea.Euntaek Lim (email: et.lim@samsung.com) is with Telecommunication R&D Center, Samsung Electronics, Suwon, Korea Jong-Gwan Yook (email: jgyook@yonsei.ac.kr) and Han-Kyu Park (email: hkpark@yonsei.ac.kr) are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea. I. IntroductionThe design objective of next generation mobile communication systems is to support a peak bit rate up to 100 Mbps with high mobility and up to 1 Gbps with low mobility. The International Telecommunication Union (ITU) has required spectrum requirement estimations for next generation mobile communication services in order to meet the above objective in preparation for the World Radiocommunication Conference 2007 (WRC-07). Also, the ITU has produced a new version of reports on market analysis and radio aspect analysis for the future development of IMT-2000 and IMT-Advanced. In the past, estimation of the spectrum requirements for wireless applications has been considered as a framework focusing on a single system and market scenario as given in [1]. With the convergence of mobile and fixed telecommunications and multiple network environments as well as supporting attributes such as seamless inter-working between different complementary access systems, as described in [2], the application of such simple approaches is no longer suitable.The methodology in [1] was based on 2G and IMT-2000 technology networks. For this methodology, the model of service delivery is a voice-based traffic architecture including a short message service (SMS) with some higher data rate services characterized by a simple peak traffic model. dominant role in t...

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Spectrum estimation methodology for next generation wireless systems

Cited by 6 publications

References 1 publication

Spectrum Demand Forecasting for IoT Services

Spectrum Demand Forecasting for IoT Services

Intra-Operator Inter-Mode Spectrum Sharing

Calculation of Spectral Efficiency for Estimating Spectrum Requirements of IMT-Advanced in Korean Mobile Communication Environments

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