211 research outputs found

    Network-Coded Multiple Access

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    This paper proposes and experimentally demonstrates a first wireless local area network (WLAN) system that jointly exploits physical-layer network coding (PNC) and multiuser decoding (MUD) to boost system throughput. We refer to this multiple access mode as Network-Coded Multiple Access (NCMA). Prior studies on PNC mostly focused on relay networks. NCMA is the first realized multiple access scheme that establishes the usefulness of PNC in a non-relay setting. NCMA allows multiple nodes to transmit simultaneously to the access point (AP) to boost throughput. In the non-relay setting, when two nodes A and B transmit to the AP simultaneously, the AP aims to obtain both packet A and packet B rather than their network-coded packet. An interesting question is whether network coding, specifically PNC which extracts packet (A XOR B), can still be useful in such a setting. We provide an affirmative answer to this question with a novel two-layer decoding approach amenable to real-time implementation. Our USRP prototype indicates that NCMA can boost throughput by 100% in the medium-high SNR regime (>=10dB). We believe further throughput enhancement is possible by allowing more than two users to transmit together

    Energy Efficiency in Communications and Networks

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    The topic of "Energy Efficiency in Communications and Networks" attracts growing attention due to economical and environmental reasons. The amount of power consumed by information and communication technologies (ICT) is rapidly increasing, as well as the energy bill of service providers. According to a number of studies, ICT alone is responsible for a percentage which varies from 2% to 10% of the world power consumption. Thus, driving rising cost and sustainability concerns about the energy footprint of the IT infrastructure. Energy-efficiency is an aspect that until recently was only considered for battery driven devices. Today we see energy-efficiency becoming a pervasive issue that will need to be considered in all technology areas from device technology to systems management. This book is seeking to provide a compilation of novel research contributions on hardware design, architectures, protocols and algorithms that will improve the energy efficiency of communication devices and networks and lead to a more energy proportional technology infrastructure

    Recent Advances in Wireless Communications and Networks

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    This book focuses on the current hottest issues from the lowest layers to the upper layers of wireless communication networks and provides "real-time" research progress on these issues. The authors have made every effort to systematically organize the information on these topics to make it easily accessible to readers of any level. This book also maintains the balance between current research results and their theoretical support. In this book, a variety of novel techniques in wireless communications and networks are investigated. The authors attempt to present these topics in detail. Insightful and reader-friendly descriptions are presented to nourish readers of any level, from practicing and knowledgeable communication engineers to beginning or professional researchers. All interested readers can easily find noteworthy materials in much greater detail than in previous publications and in the references cited in these chapters

    MAC/PHY Co-Design of CSMA Wireless Networks Using Software Radios.

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    In the past decade, CSMA-based protocols have spawned numerous network standards (e.g., the WiFi family), and played a key role in improving the ubiquity of wireless networks. However, the rapid evolution of CSMA brings unprecedented challenges, especially the coexistence of different network architectures and communications devices. Meanwhile, many intrinsic limitations of CSMA have been the main obstacle to the performance of its derivatives, such as ZigBee, WiFi, and mesh networks. Most of these problems are observed to root in the abstract interface of the CSMA MAC and PHY layers --- the MAC simply abstracts the advancement of PHY technologies as a change of data rate. Hence, the benefits of new PHY technologies are either not fully exploited, or they even may harm the performance of existing network protocols due to poor interoperability. In this dissertation, we show that a joint design of the MAC/PHY layers can achieve a substantially higher level of capacity, interoperability and energy efficiency than the weakly coupled MAC/PHY design in the current CSMA wireless networks. In the proposed MAC/PHY co-design, the PHY layer exposes more states and capabilities to the MAC, and the MAC performs intelligent adaptation to and control over the PHY layer. We leverage the reconfigurability of software radios to design smart signal processing algorithms that meet the challenge of making PHY capabilities usable by the MAC layer. With the approach of MAC/PHY co-design, we have revisited the primitive operations of CSMA (collision avoidance, carrier signaling, carrier sensing, spectrum access and transmitter cooperation), and overcome its limitations in relay and broadcast applications, coexistence of heterogeneous networks, energy efficiency, coexistence of different spectrum widths, and scalability for MIMO networks. We have validated the feasibility and performance of our design using extensive analysis, simulation and testbed implementation.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/95944/1/xyzhang_1.pd

    Fast Link Adaptation for 802.11n

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    ๊ณ ๋ฐ€๋„ ๋ฌด์„ ๋žœ ๋™์‹œ ์ „์†ก ํ–ฅ์ƒ ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2017. 8. ์ตœ์„ฑํ˜„.๋ฌด์„  ํ†ต์‹ ์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ, Wi-Fi๋กœ ํ”ํžˆ ์•Œ๋ ค์ง„ IEEE 802.11 ํ‘œ์ค€ ๊ธฐ๋ฐ˜ ๋ฌด์„ ๋žœ(WLAN, Wireless Local Area Network)์€ ์–ด๋””์—์„œ๋‚˜ ์ฐพ์•„๋ณผ ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ˆ ๋กœ ๊ฑฐ๋“ญ๋‚ฌ๋‹ค. ์ด๋กœ ์ธํ•ด ๋ฌด์„ ๋žœ์˜ ๊ณ ๋ฐ€ํ™”, ์ฆ‰ ๊ณต๊ฐ„์ ์œผ๋กœ ์ธ์ ‘ํ•œ ๋งŽ์€ AP(Access Point)์™€ STA(station)๋“ค์ด ๋™์ผํ•œ ์ฃผํŒŒ์ˆ˜ ์ฑ„๋„์„ ์‚ฌ์šฉํ•˜๋ฉฐ ์ด๋กœ ์ธํ•ด ํ•œ ๋‹จ๋ง์ด ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์„ฑ๋Šฅ์ด ์ œํ•œ๋˜๋Š” ํ˜„์ƒ์ด ๋‘๋“œ๋Ÿฌ์ง€๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋Ÿฌํ•œ ๊ณ ๋ฐ€๋„ ๋ฌด์„ ๋žœ ํ™˜๊ฒฝ์—์„œ๋Š” ๋‹จ์ผ ์ „์†ก์— ๋Œ€ํ•œ ์ŠคํŽ™ํŠธ๋Ÿผ ํšจ์œจ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ฃผํŒŒ์ˆ˜ ์ž์›์˜ ๊ณต๊ฐ„ ์žฌ์‚ฌ์šฉ(spatial reuse)์˜ ์ค‘์š”์„ฑ ๋˜ํ•œ ๊ฐ•์กฐ๋œ๋‹ค. ์ฆ‰, ํŠน์ • ๊ณต๊ฐ„ ๋‚ด์—์„œ ์–ผ๋งˆ๋‚˜ ๋งŽ์€ ๋™์‹œ ์ „์†ก์ด ๊ฐ€๋Šฅํ•œ์ง€๊ฐ€ ์ค‘์š”ํ•œ ์ด์Šˆ๋กœ ์ž๋ฆฌ๋งค๊น€ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ๊ณ ๋ฐ€๋„ ๋ฌด์„ ๋žœ ํ™˜๊ฒฝ์—์„œ ๋” ๋งŽ์€ ๋™์‹œ ์ „์†ก์„ ์„ฑ๊ณต์‹œํ‚ค๊ธฐ ์œ„ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์„ธ ๊ฐ€์ง€ ์ „๋žต์„ ๊ณ ๋ คํ•œ๋‹ค. (i) ๋งค์ฒด์ ‘๊ทผ์ œ์–ด(MAC, Medium Access Control) ๊ณ„์ธต์˜ ACK(Acknowledgment) ๋ฐ CTS(Clear-To-Send) ํ”„๋ ˆ์ž„์— ๋Œ€ํ•œ ์†ก์‹  ์ „๋ ฅ ์ œ์–ด, (ii) ๋ฐ˜์†กํŒŒ ๊ฐ์ง€ ์ž„๊ณ„๊ฐ’(CST, Carrier-Sense Threshold) ์ ์‘, (iii) ๋™์‹œ ์†ก์‹  ๋ฐ ์ˆ˜์‹  (STR, Simultaneous Transmit and Receiver), ์ฆ‰ ๋™์ผ๋Œ€์—ญ ์ „์ด์ค‘ ํ†ต์‹ (in-band full duplex). ์ฒซ๋ฒˆ์งธ๋กœ, ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„์— ์˜ํ•œ ๋™์ผ ์ฑ„๋„ ๊ฐ„์„ญ(CCI, Co-Channel Interference)๋ณด๋‹ค ๋œ ์กฐ๋ช…๋˜์–ด ์™”๋˜ MAC ACK ํ”„๋ ˆ์ž„์— ์˜ํ•ด ๋ฐœ์ƒํ•˜๋Š” CCI์— ์ฃผ๋ชฉํ•œ๋‹ค. ํ™•๋ฅ ์  ๊ธฐํ•˜ ๋ถ„์„(stochastic geometry analysis)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ACK ํ”„๋ ˆ์ž„์˜ ์†ก์‹  ์ „๋ ฅ ์กฐ์ ˆ์˜ ํ•„์š”์„ฑ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋™์  ACK ํ”„๋ ˆ์ž„ ์†ก์‹  ์ „๋ ฅ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์ธ Quiet ACK(QACK)์„ ์ œ์•ˆํ•œ๋‹ค. QACK์€ ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„ ์ˆ˜์‹  ์ค‘ ์ˆ˜ํ–‰๋˜๋Š” CCI ๊ฒ€์ถœ ๋ฐ CCI ์ „๋ ฅ ์ถ”์ • ๊ธฐ๋ฒ•๊ณผ ACK ํ”„๋ ˆ์ž„ ์ „์†ก ํ†ต๊ณ„๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์„ธ๋ฐ€ํ•˜๊ณ  ์‹ ์†ํ•˜๊ฒŒ ACK ํ”„๋ ˆ์ž„์˜ ์†ก์‹  ์ „๋ ฅ์„ ์กฐ์ ˆํ•œ๋‹ค. ๋”๋ถˆ์–ด, QACK์„ ๋ฐ”ํƒ•์œผ๋กœ CTS ํ”„๋ ˆ์ž„ ์†ก์‹  ์ „๋ ฅ์„ ์กฐ์ ˆํ•˜์—ฌ ๋” ๋งŽ์€ ๋™์‹œ ์ „์†ก์ด ์‹œ๋„๋  ์ˆ˜ ์žˆ๊ฒŒ ํ•˜๋Š” Quiet CTS(QCTS)๋ผ๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋˜ํ•œ ์ œ์•ˆํ•œ๋‹ค. QACK์˜ ์‹คํ˜„ ๊ฐ€๋Šฅ์„ฑ๊ณผ ์„ฑ๋Šฅ์€ SDR(Software-Defined Radio) ๊ธฐ๋ฐ˜ ํ”„๋กœํ† ํƒ€์ž…์„ ํ†ตํ•ด ๊ฒ€์ฆํ•˜๋ฉฐ ๊ธฐ์กด ๋ฐฉ์‹ ๋Œ€๋น„ ์•ฝ 1.5๋ฐฐ ๋†’์€ ์ˆ˜์œจ์„ ์–ป์„ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•œ๋‹ค. ๋ณด๋‹ค ์ผ๋ฐ˜์ ์ธ ๋ฌด์„ ๋žœ ํ™˜๊ฒฝ์—์„œ์˜ QACK ๋ฐ QCTS์˜ ์„ฑ๋Šฅ์€ ns-3๋ฅผ ์‚ฌ์šฉํ•œ ๋‹ค์–‘ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ํ‰๊ฐ€ํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋™์‹œ์— ๋” ๋งŽ์€ ๋™์‹œ ์ „์†ก์ด ์‹œ๋„๋  ์ˆ˜ ์žˆ๋„๋ก ๊ฐ„์„ญ์›(interferer node)๊ณผ ๋ชฉ์  ๋…ธ๋“œ(destination node)์— ๋”ฐ๋ผ CST๋ฅผ ์ œ์–ดํ•˜๋Š” โ€‹โ€‹CST ์ ์‘ ๋ฐฉ๋ฒ•, FACT(Fine-grained Adaptation of Carrier-sense Threshold)๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•˜๋Š” ๋ฐฉ๋ฒ•์€ ๋ฌด์„ ๋žœ ํ‘œ์ค€์—์„œ ์ด๋ฏธ ์ •์˜๋˜์–ด ์žˆ๋Š” ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•˜๋ฏ€๋กœ ์ƒ์šฉ ๋ฌด์„ ๋žœ ๊ธฐ๊ธฐ์—์„œ ์‰ฝ๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ FACT ๋ฐ ๋‹ค๋ฅธ CST ์ ์‘ ๊ธฐ๋ฒ•๊ณผ ํ•จ๊ป˜ ๋™์ž‘ํ•  ์ˆ˜ ์žˆ๋Š” CCA(Clear Channel Assessment) ์˜ค๋ฒ„ํ—ค๋“œ ๊ฐ์†Œ ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜๋ฉฐ, ์ œ์•ˆํ•œ ๊ธฐ๋ฒ•๋“ค์˜ ์„ฑ๋Šฅ์„ ns-3 ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋น„๊ตํ‰๊ฐ€ํ•œ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•์ด ๊ธฐ์กด ๋ฐฉ๋ฒ•์— ๋น„ํ•ด ๋„คํŠธ์›Œํฌ ์ „์ฒด ์ˆ˜์œจ์„ ํฐ ํญ์œผ๋กœ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ฌด์„ ๋žœ์—์„œ STR์„ ๊ฐ€๋Šฅํ•˜๊ฒŒํ•˜๋Š” ์ƒˆ๋กœ์šด MAC ํ”„๋กœํ† ์ฝœ, ์ฆ‰ MASTaR(MAC Protocol for Access points in Simultaneous Transmit and Receive mode)๋ฅผ ๊ธฐ์กด ๋ฌด์„ ๋žœ ํ‘œ์ค€์„ ์ค€์ˆ˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ์ œ์•ˆํ•œ๋‹ค. ๋˜ํ•œ MASTaR ๋™์ž‘์„ ์œ„ํ•ด ํ•„์š”ํ•œ ๋ฌผ๋ฆฌ๊ณ„์ธต์—์„œ ๋””์ง€ํ„ธ ์ž๊ฐ€ ๊ฐ„์„ญ ์ƒ์‡„(SIC, Self-Interference Cancellation) ์ „๋žต์„ ์ œ์•ˆํ•˜๋ฉฐ ๊ทธ ์‹คํ˜„ ๊ฐ€๋Šฅ์„ฑ๊ณผ ์„ฑ๋Šฅ์„ 3์ฐจ์› ๊ด‘์„  ์ถ”์ (3D-ray tracing) ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ์ธก๋ฉด์—์„œ ํ‰๊ฐ€ํ•œ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ํ˜„์žฌ ๋ฌด์„ ๋žœ MAC ํ”„๋กœํ† ์ฝœ๋ณด๋‹ค ์ตœ๋Œ€ 2.58๋ฐฐ ๋†’์€ ์ˆ˜์œจ์ด MASTaR๋ฅผ ํ†ตํ•ด ์–ป์–ด์งˆ ์ˆ˜ ์žˆ์Œ์„ ๋ณด์ธ๋‹ค. ์š”์•ฝํ•˜๋ฉด, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ACK ๋ฐ CTS ํ”„๋ ˆ์ž„์˜ ์†ก์‹  ์ „๋ ฅ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ CST ์ ์‘ ๋ฐ STR์„ ์œ„ํ•œ ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋ฐ ํ”„๋กœํ† ์ฝœ์˜ ์‹คํ˜„ ๊ฐ€๋Šฅ์„ฑ๊ณผ ์„ฑ๋Šฅ์€ ์ˆ˜์น˜ ํ•ด์„, 3์ฐจ์› ๊ด‘์„  ์ถ”์ , ns-3 ๊ธฐ๋ฐ˜ ์‹œ์Šคํ…œ ์ˆ˜์ค€(system-level) ์‹œ๋ฎฌ๋ ˆ์ด์…˜, SDR ๊ธฐ๋ฐ˜ ํ”„๋กœํ† ํƒ€์ž… ๋“ฑ ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ์ž…์ฆํ•œ๋‹ค.With increasing demand for wireless connectivity, IEEE 802.11 wireless local area network (WLAN), a.k.a. Wi-Fi, has become ubiquitous and continues to grow in number. This leads to the high density of WLAN, where many access points (APs) and client stations (STAs) operate on the same frequency channel. In a densely deployed WLAN, greater emphasis is placed on the importance of spatial reuse as well as spectral efficiency. In other words, it is of particular importance how many simultaneous transmissions are possible in a given area. In this dissertation, we consider the following three strategies to increase the number of successful simultaneous transmissions: (i) Transmit power control for medium access control (MAC) acknowledgment (ACK) and clear-to-send (CTS) frames, (ii) carrier sense threshold (CST) adaptation, and (iii) simultaneous transmit and receive (STR), i.e., in-band full-duplex communication. First, this dissertation sheds light on the co-channel interference (CCI) caused by 802.11 MAC ACK frames, which has been less studied than the CCI caused by data frames. Based on stochastic geometry analysis, we propose Quiet ACK (QACK), a dynamic transmit power control algorithm for ACK frames. Fine-grained transmit power adjustment is enabled by CCI detection and CCI power estimation in the middle of a data frame reception. A power control algorithm for clear-to-send (CTS) frame transmission, namely Quiet CTS (QCTS) is also proposed based on QACK. Our prototype using software-defined radio shows the feasibility and performance gain of QACK, i.e., 1.5X higher throughput than the legacy 802.11 WLAN. The performance of QACK and QCTS is further evaluated in more general WLAN environments via extensive simulations using ns-3. Second, a fine-grained CST adaptation method, which controls CST depending on both interferer and destination nodes, is proposed to improve spatial reuse in WLAN. The proposed method utilizes pre-defined functions in the WLAN standard, thus making itself easily implementable in commercial WLAN devices. Supplementary clear channel assessment (CCA) method is also proposed to further enhance network performance by reducing CCA overhead. The performance of the proposed methods is comparatively evaluated via ns-3 simulation. Simulation results show that the proposed methods significantly improve network throughput compared with the legacy method. Finally, a novel MAC protocol that enables STR in 802.11 WLAN, namely MASTaR, is proposed based on standard-compliant methods. Also, a digital self-interference cancellation (SIC) strategy is proposed to support the operation of MASTaR. The feasibility and the performance of MASTaR are extensively evaluated via 3D ray tracing-based simulation. The simulation results demonstrate that significant performance enhancement,e.g., up to 2.58X higher throughput than the current 802.11 MAC protocol, can be achieved by an STR-capable access point. In summary, we propose an algorithm for ACK and CTS transmission power control and two protocols each for CST adaptation and STR which enhance the efficiency of WLAN by enriching simultaneous transmission. The feasibility and the performance of the algorithm and protocols are demonstrated via various methodologies including numerical analysis, 3D ray-tracing, ns-3 based system-level simulation, and prototype using a software-defined radio.1 Introduction 1 1.1 Motivation 1 1.2 Overview of Existing Approaches 3 1.2.1 Transmit power control for CCI reduction 3 1.2.2 CST adaptation for better spatial reuse 3 1.2.3 MAC protocol for STR in WLAN 4 1.3 Main Contributions 7 1.3.1 Quiet ACK: ACK Transmit Power Control 7 1.3.2 FACT: CST adaptation scheme 8 1.3.3 MASTaR: MAC protocol for STR in WLAN 8 1.4 Organization of the Dissertation 9 2 Quiet ACK: ACK Transmit Power Control in IEEE 802.11 WLANs 10 2.1 Introduction 10 2.2 Numerical Analysis 12 2.2.1 System Model 13 2.2.2 AISR Expansion by ACK Power Control 18 2.2.3 Optimization of ACK Outage Tolerance 19 2.3 QACK: Proposed ACK power Control 21 2.3.1 CCI Detection and CCI Power Estimation 22 2.3.2 Link Margin Estimation 26 2.3.3 ACK Power Adjustment 29 2.3.4 Conditional QACK Enabling/Disabling 30 2.4 Prototyping-Based Feasibility Evaluation 30 2.4.1 Feasibility of CCI Detection and CCI Power Estimation 30 2.4.2 Throughput Enhancement by QACK 33 2.5 Simulation-based Performance Evaluation 34 2.5.1 Two BSS Topology 35 2.5.2 Multiple BSS Environment 38 2.5.3 Coexistence with Legacy Devices 41 2.6 Quiet CTS: Proposed CTS Power Control 41 2.6.1 Problem Statement 41 2.6.2 CTS Power Control 42 2.6.3 Relationship with Quiet ACK 44 2.6.4 Simulation Results 45 2.7 Summary 48 3 FACT: Fine-Grained Adaptation of Carrier Sense Threshold in IEEE 802.11 WLANs 49 3.1 Introduction 49 3.2 Preliminaries 50 3.2.1 IEEE 802.11h Transmit Power Control (TPC) 50 3.2.2 IEEE 802.11ah Basic Service Set (BSS) Color 52 3.3 FACT: Proposed CST Adaptation Scheme 52 3.3.1 Basic Principle 53 3.3.2 Challenges and Solutions 54 3.3.3 Specification 54 3.3.4 Transmit Power Adjustment 56 3.3.5 Conditional Update of CST 57 3.4 Blind CCA and Backoff Compensation 57 3.4.1 Blind CCA 58 3.4.2 Backoff Compensation 59 3.5 Performance Evaluation 59 3.6 Summary 63 4 MASTaR: MAC Protocol for Access Points in Simultaneous Transmit and Receive Mode 64 4.1 Introduction 64 4.2 Preliminaries 68 4.2.1 Explicit Block ACK 68 4.2.2 Capture Effect 69 4.3 MASTaR: Proposed MAC Protocol 70 4.3.1 PTX Identification 70 4.3.2 Initial Training 73 4.3.3 Link Map Management 73 4.3.4 Secondary Transmission 74 4.4 Feasibility Study 76 4.4.1 Analog SIC and Channel Modeling 76 4.4.2 Digital SIC for WLAN 79 4.5 Performance Evaluation 83 4.5.1 Simulation with UDP Data Traffic 87 4.5.2 Simulation with Voice and Data Traffic 100 4.6 Summary 102 5 Concluding Remarks 103 5.1 Research Contributions 103 5.2 Future Work 104 Abstract (In Korean) 110Docto

    Cross-Layer Optimization and Dynamic Spectrum Access for Distributed Wireless Networks

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    We proposed a novel spectrum allocation approach for distributed cognitive radio networks. Cognitive radio systems are capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance system and network performance. Using this technology, our proposed approach optimizes each individual wireless device and its single-hop communication links using the partial operating parameter and environmental information from adjacent devices within the wireless network. Assuming stationary wireless nodes, all wireless communication links employ non-contiguous orthogonal frequency division multiplexing (NC-OFDM) in order to enable dynamic spectrum access (DSA). The proposed approach will attempt to simultaneously minimize the bit error rate, minimize out-of-band (OOB) interference, and maximize overall throughput using a multi-objective fitness function. Without loss in generality, genetic algorithms are employed to perform the actual optimization. Two generic optimization approaches, subcarrier-wise approach and block-wise approach, were proposed to access spectrum. We also proposed and analyzed several approaches implemented via genetic algorithms (GA), such as quantizing variables, using adaptive variable ranges, and Multi-Objective Genetic Algorithms, for increasing the speed and improving the results of combined spectrum utilization/cross-layer optimization approaches proposed, together with several assisting processes and modifications devised to make the optimization to improve efficiency and execution time
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