394 research outputs found

    Long Term Evolution โ€“ License Assisted Access (LTE-LAA): Modeling and Coexistence Performance Analysis

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    Wireless communication built upon radio spectrum plays an instrumental role in today's modern world. With the explosive growth of mobile data traffic, mobile cellular networks need more spectrum to boost their system capacity. Long Term Evolution (LTE) technology leveraging the unlicensed band is anticipated to provide a solution to address this challenge. However, ensuring fair operation in terms of spectrum sharing with current unlicensed spectrum incumbents remains a key challenge for the success and viability of Unlicensed LTE (U-LTE). In particular, fair co-existence between unlicensed LTE and the Institute of Electrical and Electronics Engineers (IEEE) 802.11x standard, known as Wi-Fi, remains a principal concern, due to the ubiquitous, high-throughput and high capacity nature of both technologies. This work addresses the problem of modeling and evaluating the coexistence of LTE License-Assisted-Access (LTE-LAA) in the unlicensed band. The research work presents a novel analytical model using Markov Chain to accurately model the LAA Listen-Before-Talk (LBT) scheme, as specified in the final technical specification 36.213 of the 3rd Generation Partnership Project (3GPP) release 13 and 14. Model validation is demonstrated through numerical and simulation result comparison. Model performance evaluation is examined and contrasted with the IEEE 802.11 Distributed Coordination Function (DCF) and analysis results are subsequently presented and discussed herein. Finally, succeeding model development, a comprehensive coexistence performance analysis study is developed and completed examining the coexistence of homogeneous and heterogeneous network scenarios consisting of LTE-LAA and Wi-Fi nodes. As a result, the contribution of this work establishes a novel apparatus that facilitates numerical analysis of the LTE-LAA LBT mechanism and enables numerical comparison of future enhancements with the standardized LTE-LAA framework. In addition, this work delivers a delineating, unequivocal and in-depth examination of the effects and implications that the LTE-LAA LBT mechanism and its parameters have on coexistence performance of homogeneous and heterogeneous co-channel and co-located networks

    Enhancing Coexistence in the Unlicensed Band with Massive MIMO

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    We consider cellular base stations (BSs) equipped with a large number of antennas and operating in the unlicensed band. We denote such system as massive MIMO unlicensed (mMIMO-U). We design the key procedures required to guarantee coexistence between a cellular BS and nearby Wi-Fi devices. These include: neighboring Wi-Fi channel covariance estimation, allocation of spatial degrees of freedom for interference suppression, and enhanced channel sensing and data transmission phases. We evaluate the performance of the so-designed mMIMO-U, showing that it allows simultaneous cellular and Wi-Fi transmissions by keeping their mutual interference below the regulatory threshold. The same is not true for conventional listen-before-talk (LBT) operations. As a result, mMIMO-U boosts the aggregate cellular-plus-Wi-Fi data rate in the unlicensed band with respect to conventional LBT, exhibiting increasing gains as the number of BS antennas grows.Comment: To appear in Proc. IEEE ICC 201

    ๋น„๋ฉดํ—ˆ๋Œ€์—ญ ์…€๋ฃฐ๋ผ ํ†ต์‹ ์„ ์œ„ํ•œ ์„ฑ๋Šฅ ํ–ฅ์ƒ ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021.8. ๋ฐ•์„ธ์›….The 3rd generation partnership project (3GPP) has standardized long-term evolution (LTE) licensed-assisted access (LTE-LAA) that uses a wide unlicensed band as an alternative solution to the insufficient bandwidth problem of the existing LTE. 3GPP cellular communications in unlicensed spectrum allow transmission only after completing listen-before-talk (LBT) operation. For downlink, the LBT operation helps cellular traffic to coexist well with Wi-Fi traffic. However, cellular uplink transmission is attempted only at the time specifically determined by the base station after having a successful LBT and the user equipment (UE) may suffer transmission failure and delayed transmission due to Wi-Fi interference. As a result, cellular uplink traffic does not coexist well with Wi-Fi traffic. NR-U suffers from the collision issue because its channel access mechanism is similar to that of Wi-Fi. Wi-Fi solves the collision problem through the request-to-send/clear-to-send (RTS/CTS) mechanism. However, NR-U has no way of solving the collision problem. As a result, NR-U suffers severe performance degradation due to collisions as the number of contending nodes increases. In this dissertation, we consider the following two enhancements to cellular communication in the unlicensed spectrum: (i) Uplink channel access enhancement for solving poor uplink performance and (ii) collision minimization for efficient channel utilization. First, we mathematically analyze the problem of unfairness between cellular and Wi-Fi for uplink channel access. To address the coexistence problem in unlicensed spectrum, we propose a standard-compliant approach, termed UpChance, which allows the UE to use a minimum length of uplink reservation signal (RS) and the base station to determine the optimal timing for the UE's uplink transmission. Through ns-3 simulation, we verify that UpChance improves the performance of fairness and random access completion time by up to 88% and 99%, respectively. Second, we propose to extend an RS duration and use a split RS for reservation in NR-U that consists of front RS and rear RS and design a new collision minimization scheme, termed R-SplitC, that contains two components: new split RS operation and contention window size (CWS) control. New split RS operation helps to minimize collisions in NR-U transmissions, and CWS control works to protect the performance of other communication technologies such as Wi-Fi. We mathematically analyze and evaluate the performance of our scheme and confirm that R-SplitC improves network throughput by up to 100.6% compared to the baseline RS scheme without degrading Wi-Fi performance. In summary, we propose standard-compliant uplink channel access enhancement scheme and collision minimization scheme for cellular communication in unlicensed spectrum. Through this research, we achieve enhancements of network performance such as throughput and fairness.3์„ธ๋Œ€ ํŒŒํŠธ๋„ˆ์‹ญ ํ”„๋กœ์ ํŠธ๋Š” ๊ธฐ์กด LTE์˜ ๋ถ€์กฑํ•œ ๋Œ€์—ญํญ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๋Œ€์•ˆ์œผ๋กœ ๋„“์€ ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์„ ์‚ฌ์šฉํ•˜๋Š” ๋ผ์ด์„ ์Šค ์ง€์› ์ ‘์†์„ ํ‘œ์ค€ํ™”ํ•˜๊ณ  ์žˆ๋‹ค. ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์—์„œ 3GPP ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์€ LBT ๋™์ž‘์„ ์™„๋ฃŒํ•œ ํ›„์—๋งŒ ์ „์†ก์„ ํ—ˆ์šฉํ•œ๋‹ค. ๋‹ค์šด๋งํฌ์˜ ๊ฒฝ์šฐ LBT ์ž‘์—…์„ ํ†ตํ•ด ์…€๋ฃฐ๋Ÿฌ ํŠธ๋ž˜ํ”ฝ์ด ์™€์ดํŒŒ์ด ํŠธ๋ž˜ํ”ฝ๊ณผ ์ž˜ ๊ณต์กดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์…€๋ฃฐ๋Ÿฌ ์—…๋งํฌ ์ „์†ก์€ LBT ์„ฑ๊ณต ํ›„ ๊ธฐ์ง€๊ตญ์— ์˜ํ•ด ํŠน๋ณ„ํžˆ ๊ฒฐ์ •๋œ ์‹œ๊ฐ„์—๋งŒ ์‹œ๋„๋˜๋ฉฐ, ์‚ฌ์šฉ์ž ์žฅ๋น„๋Š” ์™€์ดํŒŒ์ด์˜ ๊ฐ„์„ญ์œผ๋กœ ์ธํ•ด ์ „์†ก ์‹คํŒจ์™€ ์ „์†ก ์ง€์—ฐ์„ ๊ฒช์„ ํ™•๋ฅ ์ด ๋†’๋‹ค. ๋”ฐ๋ผ์„œ ์…€๋ฃฐ๋Ÿฌ ์—…๋งํฌ ํŠธ๋ž˜ํ”ฝ์ด ์™€์ดํŒŒ์ด ํŠธ๋ž˜ํ”ฝ๊ณผ ์ž˜ ๊ณต์กดํ•˜์ง€ ๋ชปํ•œ๋‹ค. ๋ผ์ด์„ ์Šค ์ง€์› ์ ‘์† ๊ธฐ์ˆ ์€ ๋˜ํ•œ ์ฑ„๋„ ์•ก์„ธ์Šค ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ์™€์ดํŒŒ์ด์˜ ์ฑ„๋„ ์•ก์„ธ์Šค ๋ฉ”์ปค๋‹ˆ์ฆ˜๊ณผ ์œ ์‚ฌํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋™์‹œ ์ „์†ก์œผ๋กœ ์ถฉ๋Œ ๋ฌธ์ œ๋ฅผ ๊ฒช๊ณ  ์žˆ๋‹ค. ์™€์ดํŒŒ์ด๋Š” RTS/CTS ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ํ†ตํ•ด ์ถฉ๋Œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ ๋ผ์ด์„ ์Šค ์ง€์› ์ ‘์† ๊ธฐ์ˆ ์€ ์ถฉ๋Œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ๋ฐฉ๋ฒ•์ด ์กด์žฌํ•˜์ง€ ์•Š๋Š”๋‹ค. ๋”ฐ๋ผ์„œ ๋ผ์ด์„ ์Šค ์ง€์› ์ ‘์† ๊ธฐ์ˆ ์€ ๊ฒฝํ•ฉ ๋…ธ๋“œ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ถฉ๋Œ๋กœ ์ธํ•ด ์‹ฌ๊ฐํ•œ ์„ฑ๋Šฅ ์ €ํ•˜๋ฅผ ๊ฒช๋Š”๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์—์„œ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์— ๋Œ€ํ•œ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋‘ ๊ฐ€์ง€ ๊ฐœ์„ ์„ ๊ณ ๋ คํ•œ๋‹ค. (i) ์—…๋งํฌ ์„ฑ๋Šฅ ์ €ํ•˜๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์—…๋งํฌ ์ฑ„๋„ ์•ก์„ธ์Šค ํ–ฅ์ƒ ๋ฐ (ii) ํšจ์œจ์ ์ธ ์ฑ„๋„ ํ™œ์šฉ์„ ์œ„ํ•œ ์ถฉ๋Œ ์ตœ์†Œํ™”. ์ฒซ์งธ, ์—…๋งํฌ ์ฑ„๋„ ์•ก์„ธ์Šค๋ฅผ ์œ„ํ•œ ์…€๋ฃฐ๋Ÿฌ์™€ ์™€์ดํŒŒ์ด ์‚ฌ์ด์˜ ๋ถˆ๊ณต์ •์„ฑ ๋ฌธ์ œ๋ฅผ ์ˆ˜ํ•™์ ์œผ๋กœ ๋ถ„์„ํ•œ๋‹ค. ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์—์„œ์˜ ๊ณต์กด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, ์šฐ๋ฆฌ๋Š” ๋‹จ๋ง์ด ์ตœ์†Œ ๊ธธ์ด์˜ ์—…๋งํฌ ์˜ˆ์•ฝ ์‹ ํ˜ธ๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๊ธฐ์ง€๊ตญ์ด ๋‹จ๋ง์˜ ์—…๋งํฌ ์ „์†ก์— ๋Œ€ํ•œ ์ตœ์ ์˜ ํƒ€์ด๋ฐ์„ ๊ฒฐ์ •ํ•  ์ˆ˜ ์žˆ๋Š” UpChance๋ผ๋Š” ํ‘œ์ค€์„ ๋งŒ์กฑํ•˜๋Š” ์ƒํ–ฅ ๋งํฌ ์ฑ„๋„ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ns-3 ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด UpChance๊ฐ€ ๊ณต์ •์„ฑ๊ณผ ๋žœ๋ค ์•ก์„ธ์Šค ์™„๋ฃŒ ์‹œ๊ฐ„์„ ๊ฐ๊ฐ ์ตœ๋Œ€ 88%, 99% ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์„ ๊ฒ€์ฆํ•œ๋‹ค. ๋‘˜์งธ, ์šฐ๋ฆฌ๋Š” ์ „๋ฐฉ ์˜ˆ์•ฝ์‹ ํ˜ธ์™€ ํ›„๋ฐฉ ์˜ˆ์•ฝ์‹ ํ˜ธ๋กœ ๊ตฌ์„ฑ๋œ ๋ถ„ํ•  ์˜ˆ์•ฝ ์‹ ํ˜ธ๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๊ฒฝํ•ฉ ์ฐฝ ํฌ๊ธฐ๋ฅผ ์ถ”๊ฐ€์ ์œผ๋กœ ์ œ์–ดํ•˜๋Š” R-SplitC๋ผ๋Š” ์ƒˆ๋กœ์šด ์ถฉ๋Œ ์ตœ์†Œํ™” ์ฒด๊ณ„๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ƒˆ๋กœ์šด ๋ถ„ํ•  ์˜ˆ์•ฝ ์‹ ํ˜ธ๋Š” ๋ผ์ด์„ ์Šค ์ง€์› ์ ‘์† ๊ธฐ์ˆ ์˜ ์ „์†ก๊ฐ„์˜ ์ถฉ๋Œ์„ ์ตœ์†Œํ™”ํ•˜๋Š” ๋ฐ ๋„์›€์„ ์ฃผ๋ฉฐ, ๊ฒฝํ•ฉ ์ฐฝ ํฌ๊ธฐ ์ œ์–ด๋Š” ์™€์ดํŒŒ์ด์™€ ๊ฐ™์€ ๋‹ค๋ฅธ ํ†ต์‹  ๊ธฐ์ˆ ์˜ ์„ฑ๋Šฅ์„ ๋ณดํ˜ธํ•œ๋‹ค. ์šฐ๋ฆฌ๋Š” ์šฐ๋ฆฌ ์ฒด๊ณ„์˜ ์„ฑ๋Šฅ์„ ์ˆ˜ํ•™์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ  ํ‰๊ฐ€ํ•˜์—ฌ R-SplitC๊ฐ€ ์™€์ดํŒŒ์ด ์„ฑ๋Šฅ์„ ์ €ํ•˜์‹œํ‚ค์ง€ ์•Š๊ณ  ๊ธฐ์กด์˜ ์˜ˆ์•ฝ ์‹ ํ˜ธ ์ฒด๊ณ„์— ๋น„ํ•ด ๋„คํŠธ์›Œํฌ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ์ตœ๋Œ€ 100.6% ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•œ๋‹ค. ์š”์•ฝํ•˜๋ฉด, ์šฐ๋ฆฌ๋Š” ๋น„๋ฉดํ—ˆ ๋Œ€์—ญ์—์„œ ์…€๋ฃฐ๋Ÿฌ ํ†ต์‹ ์„ ์œ„ํ•œ ์—…๋งํฌ ์ฑ„๋„ ์•ก์„ธ์Šค ํ–ฅ์ƒ ๊ธฐ๋ฒ• ๋ฐ ์ถฉ๋Œ ์ตœ์†Œํ™” ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด, ์šฐ๋ฆฌ๋Š” ์ตœ์ฒจ๋‹จ ๊ธฐ์ˆ ์— ๋น„ํ•ด ์ฒ˜๋ฆฌ๋Ÿ‰ ๋ฐ ๊ณต์ •์„ฑ๊ณผ ๊ฐ™์€ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ์˜ ํ–ฅ์ƒ์„ ๋‹ฌ์„ฑํ•œ๋‹ค.1 Introduction 1 1.1 Motivation 1 1.2 Main Contributions 2 1.2.1 Uplink Channel Access Enhancement for Cellular Communication in Unlicensed Spectrum 2 1.2.2 R-SplitC: Collision Minimization for Cellular Communication in Unlicensed Spectrum 3 1.3 Organization of the Dissertation 4 2 Uplink Channel Access Enhancement for Cellular Communication in Unlicensed Spectrum 5 2.1 Introduction 5 2.2 Related Work and Preliminaries 7 2.2.1 Related Work 7 2.2.2 Preliminaries 8 2.3 Mathematical Analysis for Unfairness between Uplink Cellular and Wi-Fi 10 2.3.1 PRACH scenario 10 2.3.2 UL data scenario 13 2.4 Proposed Scheme 17 2.4.1 UE Operation 18 2.4.2 eNB Operation 19 2.5 Performance Evaluation 24 2.5.1 Simulation Environments 24 2.5.2 UL data transmission 25 2.5.3 Random access 27 2.6 Summary 29 3 R-SplitC: Collision Minimization for Cellular Communication in Unlicensed Spectrum 37 3.1 Introduction 37 3.2 Related Work and Preliminaries 39 3.2.1 Related Work 39 3.2.2 NR-U 40 3.2.3 listen-before-talk (LBT) 41 3.2.4 reservation signal and mini-slot 41 3.2.5 Wi-Fi 42 3.3 Proposed Scheme 44 3.3.1 New RS structure 46 3.3.2 CWS control 48 3.4 Performance Analysis 49 3.4.1 Throughput Analysis for R-Split 49 3.4.2 Throughput Analysis for R-SplitC 55 3.5 Performance Evaluation 57 3.5.1 Performance Evaluation for an NR-U only Network 58 3.5.2 Performance Evaluation for an NR-U/Wi-Fi Network 61 3.6 Summary 65 4 Concluding Remarks 67 4.1 Research Contributions 67 4.2Future Work 68 Abstract (In Korean) 75 ๊ฐ์‚ฌ์˜๊ธ€ 78๋ฐ•

    LTE and Wi-Fi Coexistence in Unlicensed Spectrum with Application to Smart Grid: A Review

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    Long Term Evolution (LTE) is expanding its utilization in unlicensed band by deploying LTE Unlicensed (LTEU) and Licensed Assisted Access LTE (LTE-LAA) technology. Smart Grid can take the advantages of unlicensed bands for achieving two-way communication between smart meters and utility data centers by using LTE-U/LTE-LAA. However, both schemes must co-exist with the incumbent Wi-Fi system. In this paper, several co-existence schemes of Wi-Fi and LTE technology is comprehensively reviewed. The challenges of deploying LTE and Wi-Fi in the same band are clearly addressed based on the papers reviewed. Solution procedures and techniques to resolve the challenging issues are discussed in a short manner. The performance of various network architectures such as listenbefore- talk (LBT) based LTE, carrier sense multiple access with collision avoidance (CSMA/CA) based Wi-Fi is briefly compared. Finally, an attempt is made to implement these proposed LTEWi- Fi models in smart grid technology.Comment: submitted in 2018 IEEE PES T&

    Survey of Spectrum Sharing for Inter-Technology Coexistence

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    Increasing capacity demands in emerging wireless technologies are expected to be met by network densification and spectrum bands open to multiple technologies. These will, in turn, increase the level of interference and also result in more complex inter-technology interactions, which will need to be managed through spectrum sharing mechanisms. Consequently, novel spectrum sharing mechanisms should be designed to allow spectrum access for multiple technologies, while efficiently utilizing the spectrum resources overall. Importantly, it is not trivial to design such efficient mechanisms, not only due to technical aspects, but also due to regulatory and business model constraints. In this survey we address spectrum sharing mechanisms for wireless inter-technology coexistence by means of a technology circle that incorporates in a unified, system-level view the technical and non-technical aspects. We thus systematically explore the spectrum sharing design space consisting of parameters at different layers. Using this framework, we present a literature review on inter-technology coexistence with a focus on wireless technologies with equal spectrum access rights, i.e. (i) primary/primary, (ii) secondary/secondary, and (iii) technologies operating in a spectrum commons. Moreover, we reflect on our literature review to identify possible spectrum sharing design solutions and performance evaluation approaches useful for future coexistence cases. Finally, we discuss spectrum sharing design challenges and suggest future research directions
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