422 research outputs found

    Link Scheduling Algorithms For In-Band Full-Duplex Wireless Networks

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    In the last two decades, wireless networks and their corresponding data traffic have grown significantly. This is because wireless networks have become an indispens- able and critical communication infrastructure in a modern society. An on-going challenge in communication systems is meeting the continuous increase in traffic de- mands. This is driven by the proliferation of electronic devices such as smartphones with a WiFi interface along with their bandwidth intensive applications. Moreover, in the near future, sensor devices that form the Internet of Things (IoTs) ecosystem will also add to future traffic growth. One promising approach to meet growing traffic demands is to equip nodes with an In-band-Full-Duplex (IBFD) radio. This radio thus allows nodes to transmit and receive data concurrently over the same frequency band. Another approach to in- crease network or link capacity is to exploit the benefits of Multiple-Input-Multiple- Output (MIMO) technologies; namely, (i) spatial diversity gain, which improves Signal-to-Noise Ratio (SNR) and thus has a direct impact on the data rate used by nodes, and (ii) spatial multiplexing gain, whereby nodes are able to form concurrent links to neighbors

    Capacity Enhancement of Multiuser Wireless Communication System through Adaptive Non-Linear Pre coding

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    Multiuser multiple-input multiple-output (MIMO) nonlinear pre coding techniques face the issue of poor computational scalability of the size of the network. But by this nonlinear pre coding technique the interference is pre-cancelled automatically and also provides better capacity. So in order to reduce the computational burden in this paper, a definitive issue of MU-MIMO scalability is tackled through a non-linear adaptive optimum vector perturbation technique. Unlike the conventional (Vector Perturbation) VP methods, here a novel anterograde tracing is utilized which is usually recognized in the nervous system thus reducing complexity. The tracing of distance can be done through an iterative-optimization procedure. By this novel non-linear technique the capacity is improved to a greater extend which is explained practically. By means of this, the computational complexity is managed to be in the cubic order of the size of MUMIMO, and this mainly derives from the inverse of the channel matrix. The proposed signal processing system has been implemented in the working platform of MATLAB/SIMULINK. The simulation results of proposed communication system and comparison with existing systems shows the significance of the proposed work

    Design and Testbed Deployment of Frequency-Domain Equalization Full Duplex Radios

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    Full-duplex (FD) wireless can significantly enhance spectrum efficiency but requires effective self-interference (SI) cancellers. RF SI cancellation (SIC) via frequency-domain equalization (FDE), where bandpass filters channelize the SI, is suited for integrated circuits (ICs). In this paper, we explore the limits and higher layer challenges associated with using such cancellers. We evaluate the performance of a custom FDE-based canceller using two testbeds; one with mobile FD radios and the other with upgraded, static FD radios in the PAWR COSMOS testbed. The latter is a lasting artifact for the research community, alongside a dataset containing baseband waveforms captured on the COSMOS FD radios, facilitating FD-related experimentation at the higher networking layers. We evaluate the performance of the FDE-based FD radios in both testbeds, with experiments showing 95 dB overall achieved SIC (52 dB from RF SIC) across 20 MHz bandwidth, and an average link-level FD rate gain of 1.87x. We also conduct experiments in (i) uplink-downlink networks with inter-user interference, and (ii) heterogeneous networks with half-duplex and FD users. The experimental FD gains in the two types of networks depend on the users' SNR values and the number of FD users, and are 1.14x-1.25x and 1.25x-1.73x, respectively, confirming previous analytical results.Comment: 13 pages, 22 figures. arXiv admin note: substantial text overlap with arXiv:1812.0112

    Full-duplex wireless communications: challenges, solutions and future research directions

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    The family of conventional half-duplex (HD) wireless systems relied on transmitting and receiving in different time-slots or frequency sub-bands. Hence the wireless research community aspires to conceive full-duplex (FD) operation for supporting concurrent transmission and reception in a single time/frequency channel, which would improve the attainable spectral efficiency by a factor of two. The main challenge encountered in implementing an FD wireless device is the large power difference between the self-interference (SI) imposed by the deviceโ€™s own transmissions and the signal of interest received from a remote source. In this survey, we present a comprehensive list of the potential FD techniques and highlight their pros and cons. We classify the SI cancellation techniques into three categories, namely passive suppression, analog cancellation and digital cancellation, with the advantages and disadvantages of each technique compared. Specifically, we analyse the main impairments (e.g. phase noise, power amplifier nonlinearity as well as in-phase and quadrature-phase (I/Q) imbalance, etc.) that degrading the SI cancellation. We then discuss the FD based Media Access Control (MAC)-layer protocol design for the sake of addressing some of the critical issues, such as the problem of hidden terminals, the resultant end-to-end delay and the high packet loss ratio (PLR) due to network congestion. After elaborating on a variety of physical/MAC-layer techniques, we discuss potential solutions conceived for meeting the challenges imposed by the aforementioned techniques. Furthermore, we also discuss a range of critical issues related to the implementation, performance enhancement and optimization of FD systems, including important topics such as hybrid FD/HD scheme, optimal relay selection and optimal power allocation, etc. Finally, a variety of new directions and open problems associated with FD technology are pointed out. Our hope is that this treatise will stimulate future research efforts in the emerging field of FD communication

    ๊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
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