361 research outputs found

    GSM mobility management using an intelligent network platform

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    Measurement and Optimization of LTE Performance

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    4G Long Term Evolution (LTE) mobile system is the fourth generation communication system adopted worldwide to provide high-speed data connections and high-quality voice calls. Given the recent deployment by mobile service providers, unlike GSM and UMTS, LTE can be still considered to be in its early stages and therefore many topics still raise great interest among the international scientific research community: network performance assessment, network optimization, selective scheduling, interference management and coexistence with other communication systems in the unlicensed band, methods to evaluate human exposure to electromagnetic radiation are, as a matter of fact, still open issues. In this work techniques adopted to increase LTE radio performances are investigated. One of the most wide-spread solutions proposed by the standard is to implement MIMO techniques and within a few years, to overcome the scarcity of spectrum, LTE network operators will offload data traffic by accessing the unlicensed 5 GHz frequency. Our Research deals with an evaluation of 3GPP standard in a real test best scenario to evaluate network behavior and performance

    Investigating the possibility of electronic intermodality and interoperability of innovative urban public transport systems in the City of Tshwane

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    Abstract: Urban areas have the purpose of satisfying citizenโ€™s needs to interact and conduct different activities such as work, study or leisure. Public transport systems are designed to allow the efficiently and reliable movement of people within the city (Amaya et al. 2017). Globally, developed countries always work on different methods in order to have the best formal urban public transportation system. This involves integration of various modes of public transport including technological innovations such as integrated e-smart cards and information dissemination. In South Africa, there has been the development of innovative urban public transport to enhance the public transport network and eliminate negative impacts on the road. Within Gauteng province in the past 10 years, the City of Tshwane has introduced innovative Formal Urban Public Transport (FUPT) systems that will convey commuters efficiently to desired locations with no delays and at more frequent intervals through an effective public transport network. However, the innovative FUPT network is fragmented and departments do not work with one other in any form...M.Tech. (Operations Management

    User Rofde Identification in Future Mobile Telecommunications Systems

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    Nevertheless, researchers are working for the specification of the Universal Mobile Telecommunications System (UMTS), which will be a third-generation system for mobile telecommunications. The UMTS [3] will provide a wide range of telecommunication services to a very large number of Mobile Users (MUS). Services highly comparable to those offered by fixed networks will be available via various Mobile Terminals (MTs). The UMTS will be a multi-operator system and will consist of a range of sub-networks, providing userswith access to different environments, according to the entitlement of the subscriptionswith which they are associated. As a user moves between sub-networks during a call, handover functions from one environment to another may take place [4]. Each of these environments has different technical and economic constraints and will require different solutions. In addition, the UMTS radio access point must be able to connect to or cooperate with fixed networks and be capable of operating as a stand-alone network for operation in non-B-ISDN environments, although itsintegrationwithB-ISDNisanobjectivefor UMTS. Other critical aspects of UMTS are the techniques used to store and manipulate the large amount of information involved, and the intelligence needed in order to control calls and cope with user and terminal mobility. In order to make use of a service, a UMTS user will be able to register on an MT for this particular service [5]. Since user registrations will be performed on a per service basis, a user may be registered on more than one MT for different services. Moreover, some types of UMTS terminals will support multiple user registrations,' but only one of the registered users will be allowed to make use of the terminal at a time. The UMTS will also support Universal Personal Telecommunications (UPT), which means that UPT users will be able to register onto (one or more) UMTS terminals in order to make and accept calls. The ability of a user to roam into the various UMTS environments and make use of the resources and services via different terminals will be checked every time this user enters an environment and/or uses resources and services. This means that an information entity must exist for every user so as to be retrieved every time such achecking is required. This user-related information entity is called the UMTS User Profile (UUP). The UUP is stored in the UMTS Distributed Data Base (UMTS DDB) and can be accessed from every point in the network.2 Management operations on a particular user profile can b e performed only by authorized UMTS operators and possibly by the subscriber concemedorbyauser authorizedbythissubscriber. A U U P includes user authentication information, service access information, access domain information, user charging and accounting information, etc. This article discusses the UMTS user profile identification issues. The authors introduce first the concept of user profile and the UMTS entities related to it. Then, the user profile is described and its management requirements are discussed followed by the description of two scenarios proposed for the user profile identification. Finally, the authors give a comparison of the two scenarios and their concluding remarks. The study of the impact of the proposed scenarios upon UMTS operators, subscribers, users, and mobile terminals is beyond the authors' intent for the scope of this article. Entities Related to the UMTS User Profile efore introducing the UMTS User Profile, we B attempt to identify a number of UMTS entities related to this concept

    ๋น„๋ฉดํ—ˆ๋Œ€์—ญ ์…€๋ฃฐ๋ผ ํ†ต์‹ ์˜ ์„ฑ๋Šฅ ๋ถ„์„ ๋ฐ ์„ฑ๋Šฅ ํ–ฅ์ƒ ๊ธฐ๋ฒ• ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๋ฐ•์„ธ์›….3GPP๋Š” LAA (licensed-assisted access)๋ผ๊ณ ํ•˜๋Š” 5GHz ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ LTE๋ฅผ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. LAA๋Š” ์ถฉ๋Œ ๋ฐฉ์ง€ ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•ด Wi-Fi์˜ CSMA / CA (Carrier Sense Multiple Access with Collision avoidance)์™€ ์œ ์‚ฌํ•œ LBT (Listen Before Talk) ์ž‘์—…์„ ์ฑ„ํƒํ•˜์—ฌ ๊ฐ LAA ๋‹ค์šด ๋งํฌ ๋ฒ„์ŠคํŠธ์˜ ํ”„๋ ˆ์ž„ ๊ตฌ์กฐ ์˜ค๋ฒ„ ํ—ค๋“œ๋Š” ๊ฐ๊ฐ์˜ ์ข…๋ฃŒ ์‹œ๊ฐ„์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค. ์ด์ „ LBT ์ž‘์—…. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์„ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•œ ์ˆ˜์น˜ ๋ชจ๋ธ์„ ์ œ์•ˆํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์˜ ๋‹ค์Œ ๋‘ ๊ฐ€์ง€ ํ–ฅ์ƒ๋œ ๊ธฐ๋Šฅ์„ ๊ณ ๋ คํ•ฉ๋‹ˆ๋‹ค. ๋Œ€์—ญ ๋…๋ฆฝํ˜• ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ . ๊ธฐ์กด WiFi ๋ถ„์„ ๋ชจ๋ธ๋กœ๋Š” LAA์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•  ์ˆ˜ ์—†๋‹ค๋Š” ์ ์„ ๊ฐ์•ˆํ•˜์—ฌ ๋ณธ ์„œ์‹ ์—์„œ๋Š” ์—ฌ๋Ÿฌ ๊ฒฝํ•ฉ ์ง„ํ™” ๋œ NodeB๋กœ ๊ตฌ์„ฑ๋œ LAA ๋„คํŠธ์›Œํฌ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•œ ์ƒˆ๋กœ์šด Markov ์ฒด์ธ ๊ธฐ๋ฐ˜ ๋ถ„์„ ๋ชจ๋ธ์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. LAA ํ”„๋ ˆ์ž„ ๊ตฌ์กฐ ์˜ค๋ฒ„ ํ—ค๋“œ์˜ ๋ณ€ํ˜•. LTE-LAA๋Š” LTE์—์„œ ์ƒ์† ๋œ ์†๋„ ์ ์‘ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์œ„ํ•ด ์ ์‘ ๋ณ€์กฐ ๋ฐ ์ฝ”๋”ฉ (AMC) ์„ ์ฑ„ํƒํ•ฉ๋‹ˆ๋‹ค. AMC๋Š” ์ง„ํ™” ๋œ nodeB (eNB)๊ฐ€ ํ˜„์žฌ ์ „์†ก์˜ ์ฑ„๋„ ํ’ˆ์งˆ ํ‘œ์‹œ๊ธฐ ํ”ผ๋“œ ๋ฐฑ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์Œ ์ „์†ก์„์œ„ํ•œ ๋ณ€์กฐ ๋ฐ ์ฝ”๋”ฉ ๋ฐฉ์‹ (MCS)์„ ์„ ํƒํ•˜๋„๋ก ๋•์Šต๋‹ˆ๋‹ค. ๋ผ์ด์„ ์Šค ๋Œ€์—ญ์—์„œ ๋™์ž‘ํ•˜๋Š” ๊ธฐ์กด LTE์˜ ๊ฒฝ์šฐ ๋…ธ๋“œ ๊ฒฝํ•ฉ ๋ฌธ์ œ๊ฐ€ ์—†์œผ๋ฉฐ AMC ์„ฑ๋Šฅ ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ž˜ ์ง„ํ–‰๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์—์„œ ๋™์ž‘ํ•˜๋Š” LTE-LAA ์˜ ๊ฒฝ์šฐ ์ถฉ๋Œ ๋ฌธ์ œ๋กœ ์ธํ•ด AMC ์„ฑ๋Šฅ์ด ์ œ๋Œ€๋กœ ์ฒ˜๋ฆฌ๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ์ด ํŽธ์ง€์—์„œ๋Š” AMC ์šด์˜์„ ๊ณ ๋ คํ•œ ํ˜„์‹ค์ ์ธ ์ฑ„๋„ ๋ชจ๋ธ์—์„œ LTELAA ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•œ ์ƒˆ๋กœ ์šด Markov ์ฒด์ธ ๊ธฐ๋ฐ˜ ๋ถ„์„ ๋ชจ๋ธ์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ๋ฌด์„  ๋„คํŠธ์›Œํฌ ๋ถ„์„์— ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” Rayleigh ํŽ˜์ด๋”ฉ ์ฑ„๋„ ๋ชจ๋ธ์„ ์ฑ„ํƒํ•˜๊ณ  ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ns-3 ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ์—์„œ ์–ป์€ ๊ฒฐ๊ณผ ์™€ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค. ๋น„๊ต ๊ฒฐ๊ณผ๋Š” ํ‰๊ท  ์ •ํ™•๋„๊ฐ€ 99.5%๋กœ ๋ถ„์„ ๋ชจ๋ธ์˜ ์ •ํ™•๋„๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋†’์€ ๋ฐ์ดํ„ฐ ์†๋„์— ๋Œ€ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ์œผ๋กœ ์ธํ•ด 3GPP๋Š” LTE-LAA๋ฅผ์œ„ํ•œ ๋‹ค์ค‘ ๋ฐ˜์†กํŒŒ ์šด์˜์„ ์ œ๊ณตํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‹ค์ค‘ ๋ฐ˜์†กํŒŒ ๋™์ž‘์€ OOBE์— ์ทจ์•ฝํ•˜๊ณ  ์ œํ•œ๋œ ์ „์†ก ์ „๋ ฅ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋น„ํšจ์œจ์  ์ธ ์ฑ„๋„ ์‚ฌ์šฉ์„ ์ดˆ๋ž˜ํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ฑ„๋„ ํšจ์œจ์„ ๋†’์ด๊ธฐ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋‹ค์ค‘ ๋ฐ˜์†กํŒŒ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ์šฐ๋ฆฌ๊ฐ€ ์ œ์•ˆํ•œ ๋ฐฉ์‹์€ ์ „์†ก ๋ฒ„์ŠคํŠธ๋ฅผ ์—ฌ๋Ÿฌ ๊ฐœ๋กœ ๋ถ„ํ• ํ•˜๊ณ  ์ „์†ก ์ „๋ ฅ ์ œํ•œ์„ ์ถฉ์กฑํ•˜๋ฉด์„œ ์งง์€ ์„œ๋ธŒ ํ”„๋ ˆ์ž„ ์ „์†ก ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์ฑ„๋„ ์ƒํƒœ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ํŒ๋‹จํ•˜์—ฌ OOBE ๋ฌธ์ œ๋ฅผ ๊ทน๋ณต ํ•  ์ˆ˜์žˆ๋Š” ์—๋„ˆ์ง€ ๊ฐ์ง€ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ์†Œํ”„ํŠธ์›จ์–ด ์ •์˜ ๋ผ๋””์˜ค๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ํ”„๋กœํ†  ํƒ€์ž…์€ 99% ์ด์ƒ์˜ ์ •ํ™•๋„๋กœ ์ฑ„๋„ ์ƒํƒœ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ์—๋„ˆ์ง€ ๊ฐ์ง€ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์‹คํ–‰ ๊ฐ€๋Šฅ์„ฑ๊ณผ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ns-3 ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์ œ์•ˆ ๋œ ๋‹ค์ค‘ ๋ฐ˜์†กํŒŒ ์•ก์„ธ์Šค ๋ฐฉ์‹์ด ๊ธฐ์กด LBT ์œ ํ˜• A ๋ฐ ์œ ํ˜• B์— ๋น„ํ•ด ์‚ฌ์šฉ์ž์ธ์ง€ ์ฒ˜๋ฆฌ๋Ÿ‰์—์„œ ๊ฐ๊ฐ ์ตœ๋Œ€ 59% ๋ฐ 21.5%์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋‹ฌ์„ฑ ํ•จ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ ˆ๊ฑฐ์‹œ LAA์—๋Š” ๋ฐฐํฌ ๋ฌธ์ œ๊ฐ€ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— 3GPP์™€ MulteFire ์–ผ๋ผ์ด์–ธ์Šค๋Š” ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ ๋…๋ฆฝํ˜• ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹  ์‹œ์Šค ํ…œ์„ ์ œ์•ˆํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ข…๋ž˜์˜ ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ ๋…๋ฆฝํ˜• ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹  ์‹œ์Šคํ…œ์€ ์ƒํ–ฅ ๋งํฌ ์ œ์–ด ๋ฉ”์‹œ์ง€์˜ ์ „์†ก ํ™•๋ฅ ์ด ๋‚ฎ๋‹ค. ์ด ๋…ผ๋ฌธ์€ Wi-Fi ๋ธ”๋ก ACK ํ”„๋ ˆ์ž„์— ์—… ๋งํฌ ์ œ์–ด ๋ฉ”์‹œ์ง€๋ฅผ ๋„ฃ๋Š” W ARQ : Wi-Fi ์ง€์› HARQ๋ฅผ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ W-ARQ์˜ ์ฒ˜ ๋ฆฌ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ๋ณ‘๋ ฌ HARQ ๋ฐ ํด๋Ÿฌ์Šคํ„ฐ๋ง ๋œ Minstrel์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๊ฐ€ ์ œ์•ˆํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ธฐ์กด MulteFire๊ฐ€ ๊ฑฐ์˜ ์ œ๋กœ ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ์„ ๋ณด์ด๋Š” ๊ฒฝ์šฐ ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์š”์•ฝํ•˜๋ฉด ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ ํ•ฉ๋‹ˆ๋‹ค. ์ œ์•ˆ ๋œ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•จ์œผ๋กœ์จ ์šฐ๋ฆฌ๋Š” ๋ ˆ๊ฑฐ์‹œ ๋‹ค์ค‘ ๋ฐ˜์†กํŒŒ ๋™์ž‘์„ ์ฃผ์žฅํ•˜๋ฉฐ ๋น„๋ฉดํ—ˆ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์˜ HARQ๋Š” ํšจ์œจ์ ์ด์ง€ ์•Š๋‹ค. ์ด๋Ÿฌํ•œ ์ด์œ ๋กœ, ์šฐ๋ฆฌ๋Š” ์ตœ์ฒจ๋‹จ ๊ธฐ ์ˆ ์— ๋น„ํ•ด UPT ๋ฐ ์ฒ˜๋ฆฌ๋Ÿ‰๊ณผ ๊ฐ™์€ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋‹ฌ์„ฑํ•˜๋Š” OOBE ์ธ์‹ ์ถ”๊ฐ€ ์•ก์„ธ์Šค ๋ฐ W-ARQ๋ฅผ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค.3GPP has developed 5 GHz unlicensed band LTE, referred to as licensed-assisted access (LAA). LAA adopts listen before talk (LBT) operation, resembling Wi-Fis carrier sense multiple access with collision avoidance (CSMA/CA), to enable collision avoidance capability, while the frame structure overhead of each LAA downlink burst varies with the ending time of each preceding LBT operation. In this dissertation, we propose numerical model to analyze unlicensed band cellular communication. Next, we consider the following two enhancements of unlicensed band cellular communication: (i) out-of-band emission (OOBE) aware additional carrier access, and (ii) Wi-Fi assisted hybrid automatic repeat request (H-ARQ) for unlicensed-band stand-alone cellular communication. Given that, existing analytic models of Wi-Fi cannot be used to evaluate the performance of LAA, in this letter, we propose a novel Markov chain-based analytic model to analyze the performance of LAA network composed of multiple contending evolved NodeBs by considering the variation of the LAA frame structure overhead. LTE-LAA adopts adaptive modulation and coding (AMC) for the rate adaptation algorithm inherited from LTE. AMC helps the evolved nodeB (eNB) to select a modulation and coding scheme (MCS) for the next transmission using the channel quality indicator feedback of the current transmission. For the conventional LTE operating in the licensed band, there is no node contention problem and AMC performance has been well studied. However, in the case of LTE-LAA operating in the unlicensed band, AMC performance has not been properly addressed due to the collision problem. In this letter, we propose a novel Markov chain-based analysis model for analyzing LTELAA performance under a realistic channel model considering AMC operation. We adopt Rayleigh fading channel model widely used in wireless network analysis, and compare our analysis results with the results obtained from ns-3 simulator. Comparison results show an average accuracy of 99.5%, which demonstrates the accuracy of our analysis model. Due to the requirement for a high data rate, the 3GPP has provided multi-carrier operation for LTE-LAA. However, multi-carrier operation is susceptible to OOBE and uses limited transmission power, resulting in inefficient channel usage. This paper proposes a novel multi-carrier access scheme to enhance channel efficiency. Our proposed scheme divides a transmission burst into multiple ones and uses short subframe transmission while meeting the transmission power limitation. In addition, we propose an energy detection algorithm to overcome the OOBE problem by deciding the channel status accurately. Our prototype using software-defined radio shows the feasibility and performance of the energy detection algorithm that determines the channel status with over 99% accuracy. Through ns-3 simulation, we confirm that the proposed multi-carrier access scheme achieves up to 59% and 21.5% performance gain in userperceived throughput compared with the conventional LBT type A and type B, respectively. Since the legacy LAA has deployment problem, 3GPP and MulteFire alliance proposed unlicensed band stand-alone cellular communication system. However, conventional unlicensed band stand-alone cellular communication system has low transmission probability of uplink control messages. This disertation proposes W-ARQ: Wi-Fi assisted HARQ which put uplink control messages into Wi-Fi block ACK frame. In addition we propose parallel HARQ and clustered Minstrel to enhance throughput performance of W-ARQ. Our proposed algorithm shows high throughput performance where conventional MulteFire shows almost zero throughput performance. In summary, we analyze the performance of unlicensed-band cellular communication. By using the proposed model, we insist the legacy multi-carrier operation and HARQ of unlicensed cellular communication is not efficient. By this reason, we propose OOBE aware additional access and W-ARQ which achievee enhancements of network performance such as UPT and throughput compared with state-of-the-art techniques.Abstract i Contents iv List of Tables vii List of Figures viii 1 Introduction 1 1.1 Unlicensed Band Communication System . . . . . . . . . . . . . . . 1 1.2 Overview of Existing Approaches . . . . . . . . . . . . . . . . . . . 2 1.2.1 License-assisted access . . . . . . . . . . . . . . . . . . . . . 2 1.2.2 Further LAA . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.3 Non-3GPP Unlicensed Band Cellular Communication . . . . 6 1.3 Main Contribution . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 Performance Analysis of LTE-LAA . . . . . . . . . . . . . . 6 1.3.2 Out-of-Band Emission Aware Additional Carrier Access for LTE-LAA Network . . . . . . . . . . . . . . . . . . . . . . . 7 1.3.3 W-ARQ: Wi-Fi Assisted HARQ for Unlicensed Band StandAlone Cellular Communication System . . . . . . . . . . . . 8 1.4 Organization of the Dissertation . . . . . . . . . . . . . . . . . . . . 8 2 Performance Analysis of LTE-LAA network 10 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.3 Proposed Markov-Chain Model . . . . . . . . . . . . . . . . . . . . . 14 2.3.1 Markov Property . . . . . . . . . . . . . . . . . . . . . . . . 14 2.3.2 Markov Chain Model for EPS Type Variation . . . . . . . . . 16 2.3.3 LAA Network Throughput Estimation . . . . . . . . . . . . . 18 2.4 Model Validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3 Out-of-Band Emission Aware Additional Carrier Access for LTE-LAA Network 35 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 3.2 Related work and Background . . . . . . . . . . . . . . . . . . . . . 37 3.2.1 Related work . . . . . . . . . . . . . . . . . . . . . . . . . . 37 3.2.2 Listen Before Talk . . . . . . . . . . . . . . . . . . . . . . . 38 3.2.3 Out-of-Band Emission . . . . . . . . . . . . . . . . . . . . . 39 3.3 Multi-carrier Operation of LTE-LAA . . . . . . . . . . . . . . . . . . 39 3.4 Carrier Sensing considering Out-of-Band Emission . . . . . . . . . . 47 3.4.1 Energy Detection Algorithm . . . . . . . . . . . . . . . . . . 49 3.4.2 Nominal Band Energy Detection . . . . . . . . . . . . . . . . 50 3.4.3 OOBE-Free Region Energy Detection . . . . . . . . . . . . . 51 3.5 Additional Carrier Access Scheme . . . . . . . . . . . . . . . . . . . 52 3.5.1 Basic Operation . . . . . . . . . . . . . . . . . . . . . . . . . 52 3.5.2 Transmission Power Limitation . . . . . . . . . . . . . . . . 53 3.5.3 Dividing Transmission Burst . . . . . . . . . . . . . . . . . . 54 3.5.4 Short Subframe Decision . . . . . . . . . . . . . . . . . . . . 54 3.6 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . 57 3.6.1 Performance of Energy Detection considering OOBE . . . . . 57 3.6.2 Simulation Environments . . . . . . . . . . . . . . . . . . . . 57 3.6.3 Performance of Proposed Carrier Access Scheme . . . . . . . 58 3.7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 4 W-ARQ: Wi-Fi Assisted HARQ for Unlicensed Band Stand-Alone Cellular Communication System 66 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 4.2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 4.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 4.4 W-ARQ: Wi-Fi assisted HARQ for Unlicensed Band Stand-Alone Cellular Communication System . . . . . . . . . . . . . . . . . . . . . . 69 4.4.1 Parallel HARQ . . . . . . . . . . . . . . . . . . . . . . . . . 71 4.4.2 Clustered Minstrel . . . . . . . . . . . . . . . . . . . . . . . 72 4.5 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . 75 4.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 5 Concluding Remarks 80 5.1 Research Contributions . . . . . . . . . . . . . . . . . . . . . . . . . 80 5.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 Abstract (In Korean) 90 ๊ฐ์‚ฌ์˜ ๊ธ€ 93Docto

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