388 research outputs found

    Dynamic reconfiguration technologies based on FPGA in software defined radio system

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    Partial Reconfiguration (PR) is a method for Field Programmable Gate Array (FPGA) designs which allows multiple applications to time-share a portion of an FPGA while the rest of the device continues to operate unaffected. Using this strategy, the physical layer processing architecture in Software Defined Radio (SDR) systems can benefit from reduced complexity and increased design flexibility, as different waveform applications can be grouped into one part of a single FPGA. Waveform switching often means not only changing functionality, but also changing the FPGA clock frequency. However, that is beyond the current functionality of PR processes as the clock components (such as Digital Clock Managers (DCMs)) are excluded from the process of partial reconfiguration. In this paper, we present a novel architecture that combines another reconfigurable technology, Dynamic Reconfigurable Port (DRP), with PR based on a single FPGA in order to dynamically change both functionality and also the clock frequency. The architecture is demonstrated to reduce hardware utilization significantly compared with standard, static FPGA design

    Waveform Design for 5G and Beyond

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    5G is envisioned to improve major key performance indicators (KPIs), such as peak data rate, spectral efficiency, power consumption, complexity, connection density, latency, and mobility. This chapter aims to provide a complete picture of the ongoing 5G waveform discussions and overviews the major candidates. It provides a brief description of the waveform and reveals the 5G use cases and waveform design requirements. The chapter presents the main features of cyclic prefix-orthogonal frequency-division multiplexing (CP-OFDM) that is deployed in 4G LTE systems. CP-OFDM is the baseline of the 5G waveform discussions since the performance of a new waveform is usually compared with it. The chapter examines the essential characteristics of the major waveform candidates along with the related advantages and disadvantages. It summarizes and compares the key features of different waveforms.Comment: 22 pages, 21 figures, 2 tables; accepted version (The URL for the final version: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch2

    MIMO Hardware Simulator: Time Domain Versus Frequency Domain Architectures

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    19 pagesInternational audienceA hardware simulator facilitates the test and validation cycles by replicating channel artifacts in a controllable and repeatable laboratory environment. This paper presents an overview of the digital block architectures of Multiple-Input Multiple-Output (MIMO) hardware simulators. First, the simple frequency architecture is presented and analyzed. Then, an improved frequency architecture, which works for streaming mode input signals, is considered. After, the time domain architecture is described and analyzed. The architectures of the digital block are presented and designed on a Xilinx Virtex-IV Field Programmable Gate Array (FPGA). Their accuracy, occupation on the FPGA and latencies are analyzed using Wireless Local Area Networks (WLAN) 802.11ac and Long Term Evolution System (LTE) signals. The frequency and the time approaches are compared and discussed, for indoor (using TGn channel models) and outdoor (using 3GPP-LTE channel models) environments. It is shown that the time domain architecture present the best solution for the design of the architecture of the hardware simulator digital block. Finally, a 2ร—2 MIMO time domain architecture is described and simulated with input signal that respects the bandwidth of the considered standards

    Fiber link design considerations for cloud-Radio Access Networks

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    Analog radio over fiber (RoF) links may offer advantages for cloud-Radio Access Networks in terms of component cost, but the behavior of the distortion with large numbers of subcarriers needs to be understood. In this paper, this is presented in terms of the variation between subcarriers. Memory polynomial predistortion is also shown to compensate for RoF and wireless path distortion. Whether for digitized or analog links, it is shown that appropriate framing structure parameters must be used to assure performance, especially of time-division duplex systems

    Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations

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    Large-scale (or massive) multiple-input multiple-output (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems, based on the upcoming 3GPP LTE Release 12 standard, for example. In this work, we propose - to the best of our knowledge - the first VLSI design enabling high-throughput data detection in single-carrier frequency-division multiple access (SC-FDMA)-based large-scale MIMO systems. We propose a new approximate matrix inversion algorithm relying on a Neumann series expansion, which substantially reduces the complexity of linear data detection. We analyze the associated error, and we compare its performance and complexity to those of an exact linear detector. We present corresponding VLSI architectures, which perform exact and approximate soft-output detection for large-scale MIMO systems with various antenna/user configurations. Reference implementation results for a Xilinx Virtex-7 XC7VX980T FPGA show that our designs are able to achieve more than 600 Mb/s for a 128 antenna, 8 user 3GPP LTE-based large-scale MIMO system. We finally provide a performance/complexity trade-off comparison using the presented FPGA designs, which reveals that the detector circuit of choice is determined by the ratio between BS antennas and users, as well as the desired error-rate performance.Comment: To appear in the IEEE Journal of Selected Topics in Signal Processin

    5G URLLC๋ฅผ ์œ„ํ•œ ์ €์ง€์—ฐ ํ†ต์‹  ํ”„๋กœํ† ์ฝœ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€,2020. 2. ์‹ฌ๋ณ‘ํšจ.2020๋…„ IMT ๋น„์ „์— ๋”ฐ๋ฅด๋ฉด 5 ์„ธ๋Œ€ (5G) ์ด๋™ ํ†ต์‹  ์„œ๋น„์Šค๋Š” eMBB (Enhanced Mobile Broadband), mMTC (Massive Machine Type Communication) ๋ฐ URLLC (Ultra Reliability and Low Latency Communication)์˜ ์„ธ ๊ฐ€์ง€ ์„œ๋น„์Šค๋กœ ๋ถ„๋ฅ˜๋œ๋‹ค. ๋‚ฎ์€ ์ง€์—ฐ ์‹œ๊ฐ„๊ณผ ๋†’์€ ์‹ ๋ขฐ๋„๋ฅผ ๋™์‹œ์— ๋ณด์žฅํ•˜๋Š” ๊ฒƒ์€ ์‹ค์‹œ๊ฐ„ ์„œ๋น„์Šค ๋ฐ ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์˜ ์ƒ์šฉํ™”๋ฅผ ์œ„ํ•˜์—ฌ ํ•„์š”ํ•œ ํ•ต์‹ฌ ๊ธฐ์ˆ ์ด๊ณ , 3 ๊ฐœ์˜ 5G ์„œ๋น„์Šค ์ค‘ URLLC๋Š” ๊ฐ€์žฅ ์–ด๋ ค์šด ์‹œ๋‚˜๋ฆฌ์˜ค๋กœ ์—ฌ๊ฒจ์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” URLLC ์„œ๋น„์Šค๋ฅผ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์Œ๊ณผ ๊ฐ™์€ 3๊ฐ€์ง€ ์ €์ง€์—ฐ ํ†ต์‹  ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•œ๋‹ค: (i) 2-way ํ•ธ๋“œ์‰์ดํฌ ๊ธฐ๋ฐ˜ ๋žœ๋ค ์•ก์„ธ์Šค, (ii) Fast Grant Multiple Access ๋ฐ (iii) UE๊ฐ€ ์‹œ์ž‘ํ•˜๋Š” ํ•ธ๋“œ ์˜ค๋ฒ„ ๋ฐฉ์‹. ์ฒซ์งธ, 5G์—์„œ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ์„ฑ๋Šฅ ์ง€ํ‘œ๋Š” ๋ฐ์ดํ„ฐ ์ „์†ก๋ฅ ์˜ ์ฆ๊ฐ€๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ง€์—ฐ ์‹œ๊ฐ„์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ๊ฒƒ๋„ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค. ํ˜„์žฌ LTE-Advanced ์‹œ์Šคํ…œ์€ ๋žœ๋ค ์•ก์„ธ์Šค ๋ฐ ์ƒํ–ฅ ๋งํฌ ์ „์†ก ์ ˆ์ฐจ์—์„œ 4๊ฐœ์˜ ๋ฉ”์‹œ์ง€ ๊ตํ™˜์„ ํ•„์š”๋กœํ•˜๊ณ , ์ด๋Š” ๋†’์€ ์ง€์—ฐ ์‹œ๊ฐ„์„ ์•ผ๊ธฐํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์ง€์—ฐ ์‹œ๊ฐ„์„ ํšจ๊ณผ์ ์œผ๋กœ ์ค„์ด๊ธฐ ์œ„ํ•˜์—ฌ 2-way ๋žœ๋ค ์•ก์„ธ์Šค ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•œ 2-way ๋žœ๋ค ์•ก์„ธ์Šค ๊ธฐ์ˆ ์€ ํ”„๋ฆฌ์•ฐ๋ธ”์˜ ์ˆ˜๋ฅผ ์ฆ๊ฐ€์‹œํ‚ด์œผ๋กœ์จ ํ•ด๋‹น ์ ˆ์ฐจ๋ฅผ ์™„๋ฃŒํ•˜๋Š”๋ฐ ๋‹จ 2๊ฐœ์˜ ๋ฉ”์‹œ์ง€ ๋งŒ ํ•„์š”ํ•˜๋‹ค. ์šฐ๋ฆฌ๋Š” ์ด๋Ÿฌํ•œ ํ”„๋ฆฌ์•ฐ๋ธ”์„ ์ƒ์„ฑํ•˜๊ณ  ํ™œ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์—ฐ๊ตฌํ–ˆ๊ณ , ๋‹ค์–‘ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•˜์—ฌ ์ œ์•ˆํ•œ ๋žœ๋ค ์•ก์„ธ์Šค ๋ฐฉ์‹์ด ๊ธฐ์กด ๊ธฐ์ˆ ๊ณผ ๋น„๊ตํ•˜์—ฌ ์ง€์—ฐ ์‹œ๊ฐ„์„ ์ตœ๋Œ€ 43% ์ค„์ด๋Š” ๊ฒƒ ์„ ํ™•์ธํ–ˆ๋‹ค. ๋˜ํ•œ ์ œ์•ˆํ•œ ๋žœ๋ค ์•ก์„ธ์Šค๋Š” ๊ณ„์‚ฐ ๋ณต์žก๋„๊ฐ€ ์•ฝ๊ฐ„ ์ฆ๊ฐ€ํ•˜์ง€๋งŒ, ๋„คํŠธ์›Œํฌ ๋กœ๋“œ๋Š” ๊ธฐ์กด ๊ธฐ์ˆ ์— ๋น„ํ•ด ์ ˆ๋ฐ˜ ์ด์ƒ ๊ฐ์†Œํ•œ๋‹ค. ๋‘˜์งธ,์›๊ฒฉ ๋™์ž‘,์ž์œจ ์ฃผํ–‰,๋ชฐ์ž…ํ˜• ๊ฐ€์ƒ ํ˜„์‹ค ๋“ฑ๊ณผ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ๋ฏธ์…˜ ํฌ๋ฆฌํ‹ฐ์ปฌ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ๋“ฑ์žฅํ•˜๊ณ  ์žˆ๋‹ค. ๋‹ค์–‘ํ•œ URLLC ํŠธ๋ž˜ํ”ฝ์€ ๋‹ค์–‘ํ•œ ์ง€์—ฐ ์‹œ๊ฐ„ ๋ฐ ์‹ ๋ขฐ๋„ ์ˆ˜์ค€์„ ์š”๊ตฌ ์‚ฌํ•ญ์œผ๋กœ ๊ฐ€์ง€๊ณ  ์žˆ๊ณ , ์ด์™€ ํ•จ๊ป˜ ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ ํฌ๊ธฐ ๋ฐ ํŒจํ‚ท์˜ ๋ฐœ์ƒ์œจ ๋“ฑ์˜ ์ธก๋ฉด์—์„œ ๋‹ค์–‘ํ•œ ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ฏธ์…˜ ํฌ๋ฆฌํ‹ฐ์ปฌ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๋‹ค์–‘ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด ์ƒํ–ฅ ๋งํฌ ์ „์†ก์— ์ค‘์ ์„ ๋‘” FGMA(Fast Grant Multiple Access)๋ฅผ ์ œ์•ˆํ–ˆ๋‹ค. FGMA๋Š” ์Šน์ธ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜, ๋™์  ํ”„๋ฆฌ์•ฐ๋ธ” ๊ตฌ์กฐ, ์ƒํ–ฅ ๋งํฌ ์Šค์ผ€์ค„๋ง ๋ฐ ์ ์‘์  ๋Œ€์—ญํญ ์กฐ์ ˆ์˜ ๋„ค ๊ฐ€์ง€ ๋ถ€๋ถ„์œผ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. FGMA์—์„œ๋Š” ์ง€์—ฐ ์‹œ๊ฐ„์„ ์ตœ์†Œํ™” ํ•˜๋Š” ๋ฐฉํ–ฅ์œผ๋กœ ์ž์› ํ• ๋‹น์„ ํ•œ๋‹ค. ์ด ๋ฐฉ๋ฒ•์„ ํ™œ์šฉํ•˜๋ฉด ์ ์‘์  ๋Œ€์—ญํญ ์กฐ์ ˆ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ†ตํ•ด ์ง€์—ฐ ์‹œ๊ฐ„ ์š”๊ตฌ ์‚ฌํ•ญ์ด ๋‹ค๋ฅธ ํŠธ๋ž˜ํ”ฝ์˜ ๋ถˆ๊ท ํ˜•์„ ์™„ํ™” ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ์Šน์ธ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ†ตํ•ด FGMA ์‹œ์Šคํ…œ์— ์ด๋ฏธ ์Šน์ธ๋œ ๋ชจ๋“  UE๋“ค์— ๋Œ€ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ์„ ํ•ญ์ƒ ๋ณด์žฅํ•œ๋‹ค. FGMA๋Š” ์‹œ๊ฐ„์— ๋”ฐ๋ผ ๋ณ€ํ•˜๋Š” ํ™˜๊ฒฝ์—์„œ๋„ UE์˜ QoS ์š”๊ตฌ ์‚ฌํ•ญ์„ ํšจ์œจ์ ์œผ๋กœ ๋ณด์žฅํ•œ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์†Œํ˜• ์…€์€ ์…€๋ฃฐ๋Ÿฌ ์„œ๋น„์Šค ๋ฒ”์œ„๋ฅผ ๊ฐœ์„ ํ•˜๊ณ  ์‹œ์Šคํ…œ ์šฉ๋Ÿ‰์„ ํ–ฅ์ƒ ์‹œ ํ‚ค๊ณ , ๋งŽ์€ ์ˆ˜์˜ ๋ฌด์„  ๋‹จ๋ง์„ ์ง€์›ํ•˜๋Š” ํ•ต์‹ฌ ๊ธฐ์ˆ ๋กœ ๋– ์˜ค๋ฅด๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์…€์˜ ์„œ๋น„์Šค ๋ฒ”์œ„์˜ ๊ฐ์†Œ๋Š” ๋นˆ๋ฒˆํ•œ ํ•ธ๋“œ์˜ค๋ฒ„๋ฅผ ์œ ๋„ํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ํšจ๊ณผ์ ์ธ ํ•ธ๋“œ์˜ค๋ฒ„ ๋ฐฉ์‹์ดURLLC ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด์„œ ํ•„์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ, URLLC์„œ๋น„์Šค๋ฅผ ์š”๊ตฌํ•˜๋Š” ์ด๋™์„ฑ์ด ์žˆ๋Š” UE๋ฅผ ์„œ๋น„์Šคํ•˜๊ธฐ ์œ„ํ•ด ์ ์‘์  ํ•ธ๋“œ์˜ค๋ฒ„ ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ์„ ํƒ ๋ฐ ๋‹จ๋ง์˜ ๋™์ž‘์„ ๋ฏธ๋ฆฌ ์ค€๋น„ํ•ด ๋†“๋Š” ๋ฐฉ์‹์„ ์ ์šฉํ•œ ๋‹จ๋ง์ด ์‹œ์ž‘ํ•˜๋Š” ํ•ธ๋“œ์˜ค๋ฒ„ ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ์ œ์•ˆํ•œ ํ•ธ๋“œ์˜ค๋ฒ„๊ฐ€ ์ˆ˜์œจ์„ ํ–ฅ์ƒ์‹œํ‚ด๊ณผ ๋™์‹œ์— ์ €์ง€์—ฐ์„ ๋‹ฌ์„ฑํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ชฌ์„ ๊ฐ„๋žตํžˆ ์š”์•ฝํ•˜๋ฉด ์ง€์—ฐ ์‹œ๊ฐ„์˜ ์ข…๋ฅ˜๋ฅผ ๋žœ๋ค ์•ก์„ธ์Šค ์ง€์—ฐ ์‹œ๊ฐ„, ์ƒํ–ฅ ๋งํฌ ๋ฐ์ดํ„ฐ ์ „์†ก ์ง€์—ฐ ์‹œ๊ฐ„ ๋ฐ ํ•ธ๋“œ์˜ค๋ฒ„ ์ง€์—ฐ ์‹œ๊ฐ„๊ณผ ๊ฐ™์ด 3๊ฐ€์ง€๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. 3๊ฐ€์ง€ ์ข…๋ฅ˜์˜ ์ง€์—ฐ ์‹œ๊ฐ„์— ๋Œ€ํ•ด์„œ ๊ฐ๊ฐ ์ €์ง€์—ฐ์„ ๋‹ฌ์„ฑ ํ•  ์ˆ˜ ์žˆ๋Š” ํ”„๋กœํ† ์ฝœ๊ณผ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•˜์˜€๋‹ค.According to IMT vision for 2020, the fifth generation (5G) wireless services are classified into three categories, namely, Enhanced Mobile Broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra Reliable and Low Latency Communication (URLLC). Among three 5G service categories, URLLC is considered as the most challenging scenario. Thus, ensuring the latency and reliability is a key to the success of real-time services and applications. In this dissertation, we propose the following three latency reduction protocols to support the URLLC services: (i)2-way handshake-based random access, (ii) Fast grant multiple access, and (iii) UE-initiated handover scheme. First, the performance target includes not only increasing data rate, but also reducing latency in 5G cellular networks. The current LTE-Advanced systems require four message exchanges in the random access and uplink transmission procedure, thus inducing high latency. We propose a 2-way random access scheme which effectively reduces the latency. The proposed 2-way random access requires only two messages to complete the procedure at the cost of increased number of preambles. We study how to generate such preambles and how to utilize them. According to extensive simulation results, the proposed random access scheme significantly outperforms conventional schemes by reducing latency by up to 43%. We also demonstrate that computational complexity slightly increases in the proposed scheme, while network load is reduced more than a half compared to the conventional schemes. Second, various mission-critical applications are emerging such as teleoperation, autonomous driving, immersive virtual reality, and so on. A variety of URLLC traffic has various characteristics in terms of required data sizes and arrival rates with a variety of requirements of latency and reliability. To support the various requirements of the mission-critical applications, We propose a fast grant multiple access (FGMA) focusing on the uplink transmission. FGMA consists of four important parts, namely, admission control, dynamic preamble structure, the uplink scheduling, and bandwidth adaptation. The latency minimization scheduling policy is adopted in FGMA. Taking advantage of this method, the bandwidth adaptation algorithm makes even for the imbalanced arrival of the traffic requiring different latency requirements. With the proposed admission control, FGMA guarantee the requirements to all admitted UEs in the systems. We observe that the proposed FGMA efficiently guarantee the QoS requirements of the UEs even with the dynamic time-varying environment. Finally, small cells are considered a promising solution for improving cellular coverage, enhancing system capacity and supporting the massive number of things. Reduction of the cell coverage induced the frequent handover, so that the effective handover scheme is of importance in the presence of the URLLC applications. Thus, we propose a UE-initiated handover to deal with the mobile UEs requiring URLLC services taking into account the adaptive handover parameter selection and the logic of preparing in advance. The simulation results show that the proposed handover enhances the throughput performance as well as achieving low latency. In summary, we identify interesting problem in terms of latency. We classify three latency, random access latency, data transmission latency, and handover latency. With compelling protocols and algorithms, we resolve the above three problems.1 Introduction 1 1.1 Motivation 1 1.2 Main Contributions 2 1.2.1 Low Latency Random Access for Small Cell Toward Future Cellular Networks 2 1.2.2 Fast Grant Multiple Access in Large-Scale Antenna Systems for URLLC Services 3 1.2.3 UE-initiated Handover for Low Latency Communications 4 1.3 Organization of the Dissertation 4 2 Low Latency Random Access for Small Cell Toward Future Cellular Networks 6 2.1 Introduction 6 2.2 Related Work 9 2.3 Random Access and Uplink Transmission Procedure in LTE-A 11 2.3.1 Random Access in LTE-A 12 2.3.2 Uplink Transmission Procedure 14 2.3.3 Latency Issue in LTE-A 15 2.4 Proposed Random Access 16 2.4.1 Key Idea . 17 2.4.2 Proposed Preamble and Categorization 18 2.5 Preamble Sequence Analysis 23 2.5.1 Preamble Sequence Generation in LTE-A 23 2.5.2 Proposed Preamble Sequence Generation 25 2.5.3 Proposed Preamble Detection 26 2.6 Performance Evaluation 31 2.6.1 Network Latency 32 2.6.2 One-way Latency 33 2.6.3 Network Load 36 2.6.4 Computational Complexity 37 2.7 Conclusion 39 3 Fast Grant Multiple Access in Large-Scale Antenna Systems for URLLC Services 40 3.1 Introduction 40 3.2 Related Work 43 3.3 System Model 44 3.3.1 QoS Information and Service Category 45 3.3.2 Channel Structure 47 3.3.3 Frame Structure 48 3.4 Fast Grant Multiple Access 49 3.4.1 The Uplink Scheduling Policy 51 3.4.2 Dynamic Preamble Structure 53 3.4.3 Admission Control 54 3.4.4 Bandwidth Adaptation 55 3.5 Performance Evaluation 57 3.5.1 Impact of admission control 59 3.5.2 Impact of bandwidth adaptation 61 3.5.3 FGMA performance 62 3.6 Conclusion 64 4 UE-initiated Handover for Low Latency Communications 67 4.1 Introduction 67 4.2 Background and Motivation 69 4.2.1 Handover Decision Principle 69 4.2.2 Handover Procedure 70 4.2.3 Summary of the latency issues 72 4.3 UE-initiated Handover 73 4.3.1 The proposed handover design principles 73 4.3.2 The proposed handover procedure 75 4.4 Performance Evaluation 77 4.4.1 Low mobility environment 77 4.4.2 Low mobility environment 78 4.4.3 High mobility environment 80 4.5 Conclusion 82 5 ConcludingRemarks 84 5.1 Research Contributions 84 Abstract (InKorean) 92Docto

    Will SDN be part of 5G?

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    For many, this is no longer a valid question and the case is considered settled with SDN/NFV (Software Defined Networking/Network Function Virtualization) providing the inevitable innovation enablers solving many outstanding management issues regarding 5G. However, given the monumental task of softwarization of radio access network (RAN) while 5G is just around the corner and some companies have started unveiling their 5G equipment already, the concern is very realistic that we may only see some point solutions involving SDN technology instead of a fully SDN-enabled RAN. This survey paper identifies all important obstacles in the way and looks at the state of the art of the relevant solutions. This survey is different from the previous surveys on SDN-based RAN as it focuses on the salient problems and discusses solutions proposed within and outside SDN literature. Our main focus is on fronthaul, backward compatibility, supposedly disruptive nature of SDN deployment, business cases and monetization of SDN related upgrades, latency of general purpose processors (GPP), and additional security vulnerabilities, softwarization brings along to the RAN. We have also provided a summary of the architectural developments in SDN-based RAN landscape as not all work can be covered under the focused issues. This paper provides a comprehensive survey on the state of the art of SDN-based RAN and clearly points out the gaps in the technology.Comment: 33 pages, 10 figure
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