776 research outputs found

    List Decoding with Double Samplers

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    We develop the notion of "double samplers", first introduced by Dinur and Kaufman [Proc. 58th FOCS, 2017], which are samplers with additional combinatorial properties, and whose existence we prove using high dimensional expanders. We show how double samplers give a generic way of amplifying distance in a way that enables efficient list-decoding. There are many error correcting code constructions that achieve large distance by starting with a base code CC with moderate distance, and then amplifying the distance using a sampler, e.g., the ABNNR code construction [IEEE Trans. Inform. Theory, 38(2):509--516, 1992.]. We show that if the sampler is part of a larger double sampler then the construction has an efficient list-decoding algorithm and the list decoding algorithm is oblivious to the base code CC (i.e., it runs the unique decoder for CC in a black box way). Our list-decoding algorithm works as follows: it uses a local voting scheme from which it constructs a unique games constraint graph. The constraint graph is an expander, so we can solve unique games efficiently. These solutions are the output of the list decoder. This is a novel use of a unique games algorithm as a subroutine in a decoding procedure, as opposed to the more common situation in which unique games are used for demonstrating hardness results. Double samplers and high dimensional expanders are akin to pseudorandom objects in their utility, but they greatly exceed random objects in their combinatorial properties. We believe that these objects hold significant potential for coding theoretic constructions and view this work as demonstrating the power of double samplers in this context

    Doctor of Philosophy

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    dissertationThe continuous growth of wireless communication use has largely exhausted the limited spectrum available. Methods to improve spectral efficiency are in high demand and will continue to be for the foreseeable future. Several technologies have the potential to make large improvements to spectral efficiency and the total capacity of networks including massive multiple-input multiple-output (MIMO), cognitive radio, and spatial-multiplexing MIMO. Of these, spatial-multiplexing MIMO has the largest near-term potential as it has already been adopted in the WiFi, WiMAX, and LTE standards. Although transmitting independent MIMO streams is cheap and easy, with a mere linear increase in cost with streams, receiving MIMO is difficult since the optimal methods have exponentially increasing cost and power consumption. Suboptimal MIMO detectors such as K-Best have a drastically reduced complexity compared to optimal methods but still have an undesirable exponentially increasing cost with data-rate. The Markov Chain Monte Carlo (MCMC) detector has been proposed as a near-optimal method with polynomial cost, but it has a history of unusual performance issues which have hindered its adoption. In this dissertation, we introduce a revised derivation of the bitwise MCMC MIMO detector. The new approach resolves the previously reported high SNR stalling problem of MCMC without the need for hybridization with another detector method or adding heuristic temperature scaling terms. Another common problem with MCMC algorithms is an unknown convergence time making predictable fixed-length implementations problematic. When an insufficient number of iterations is used on a slowly converging example, the output LLRs can be unstable and overconfident, therefore, we develop a method to identify rare, slowly converging runs and mitigate their degrading effects on the soft-output information. This improves forward-error-correcting code performance and removes a symptomatic error floor in bit-error-rates. Next, pseudo-convergence is identified with a novel way to visualize the internal behavior of the Gibbs sampler. An effective and efficient pseudo-convergence detection and escape strategy is suggested. Finally, the new excited MCMC (X-MCMC) detector is shown to have near maximum-a-posteriori (MAP) performance even with challenging, realistic, highly-correlated channels at the maximum MIMO sizes and modulation rates supported by the 802.11ac WiFi specification, 8x8 256 QAM. Further, the new excited MCMC (X-MCMC) detector is demonstrated on an 8-antenna MIMO testbed with the 802.11ac WiFi protocol, confirming its high performance. Finally, a VLSI implementation of the X-MCMC detector is presented which retains the near-optimal performance of the floating-point algorithm while having one of the lowest complexities found in the near-optimal MIMO detector literature

    Accessing Accelerator Parameters with Mathematica via the Passerelle

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    To access the control system of the accelerators in the PS Complex at CERN from an office PC running Mathematica in a Windows environment, the package PasserelleUtils has been implemented. This package is based on the functions provided by the Passerelle, a bridge between office PCs and the accelerator control system at CERN running Linux. It allows read and write access by executing synchronous function calls to accelerator parameters directly from Mathematica. The seamless integration of data from the accelerators into the powerful mathematical programming and graphics environment of Mathematica facilitates their analysis and post-processing. Parameter settings can be derived and sent to the accelerator equipment directly in Mathematica. Dedicated functions allow for easy read access to vector tables and sampler data as used to control and operate equipment in the PS Complex. Furthermore, it removes limitations inherent to the conventional way of using EXCEL to exploit the functions of the Passerelle. This note can be referred to as a manual of the PasserelleUtils package. After a brief introduction to its functionality, a detailed description of all functions provided is given. Several simple examples illustrate the usefulness

    A sticky HDP-HMM with application to speaker diarization

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    We consider the problem of speaker diarization, the problem of segmenting an audio recording of a meeting into temporal segments corresponding to individual speakers. The problem is rendered particularly difficult by the fact that we are not allowed to assume knowledge of the number of people participating in the meeting. To address this problem, we take a Bayesian nonparametric approach to speaker diarization that builds on the hierarchical Dirichlet process hidden Markov model (HDP-HMM) of Teh et al. [J. Amer. Statist. Assoc. 101 (2006) 1566--1581]. Although the basic HDP-HMM tends to over-segment the audio data---creating redundant states and rapidly switching among them---we describe an augmented HDP-HMM that provides effective control over the switching rate. We also show that this augmentation makes it possible to treat emission distributions nonparametrically. To scale the resulting architecture to realistic diarization problems, we develop a sampling algorithm that employs a truncated approximation of the Dirichlet process to jointly resample the full state sequence, greatly improving mixing rates. Working with a benchmark NIST data set, we show that our Bayesian nonparametric architecture yields state-of-the-art speaker diarization results.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS395 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Optimal Error Rates for Interactive Coding II: Efficiency and List Decoding

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    We study coding schemes for error correction in interactive communications. Such interactive coding schemes simulate any nn-round interactive protocol using NN rounds over an adversarial channel that corrupts up to ฯN\rho N transmissions. Important performance measures for a coding scheme are its maximum tolerable error rate ฯ\rho, communication complexity NN, and computational complexity. We give the first coding scheme for the standard setting which performs optimally in all three measures: Our randomized non-adaptive coding scheme has a near-linear computational complexity and tolerates any error rate ฮด<1/4\delta < 1/4 with a linear N=ฮ˜(n)N = \Theta(n) communication complexity. This improves over prior results which each performed well in two of these measures. We also give results for other settings of interest, namely, the first computationally and communication efficient schemes that tolerate ฯ<27\rho < \frac{2}{7} adaptively, ฯ<13\rho < \frac{1}{3} if only one party is required to decode, and ฯ<12\rho < \frac{1}{2} if list decoding is allowed. These are the optimal tolerable error rates for the respective settings. These coding schemes also have near linear computational and communication complexity. These results are obtained via two techniques: We give a general black-box reduction which reduces unique decoding, in various settings, to list decoding. We also show how to boost the computational and communication efficiency of any list decoder to become near linear.Comment: preliminary versio

    ์ฐจ์„ธ๋Œ€ ์ž๋™์ฐจ์šฉ ์นด๋ฉ”๋ผ ๋ฐ์ดํ„ฐ ํ†ต์‹ ์„ ์œ„ํ•œ ๋น„๋Œ€์นญ ๋™์‹œ ์–‘๋ฐฉํ–ฅ ์†ก์ˆ˜์‹ ๊ธฐ์˜ ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2022.2. ์ •๋•๊ท .๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” ์ฐจ์„ธ๋Œ€ ์ž๋™์ฐจ์šฉ ์นด๋ฉ”๋ผ ๋งํฌ๋ฅผ ์œ„ํ•ด ๋†’์€ ์†๋„์˜ 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ์™€ ๋‚ฎ์€ ์†๋„์˜ 2๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ๋ฅผ ํ†ต์‹ ํ•˜๋Š” ๋น„๋Œ€์นญ ๋™์‹œ ์–‘๋ฐฉํ–ฅ ์†ก์ˆ˜์‹ ๊ธฐ์˜ ์„ค๊ณ„ ๊ธฐ์ˆ ์— ๋Œ€ํ•ด ์ œ์•ˆํ•˜๊ณ  ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ์ฒซ๋ฒˆ์งธ ํ”„๋กœํ† ํƒ€์ž… ์„ค๊ณ„์—์„œ๋Š”, 10B6Q ์ง๋ฅ˜ ๋ฐธ๋Ÿฐ์Šค ์ฝ”๋“œ๋ฅผ ํƒ‘์žฌํ•œ 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์†ก์‹ ๊ธฐ์™€ ๊ณ ์ •๋œ ๋ฐ์ดํ„ฐ์™€ ์ฐธ์กฐ ๋ ˆ๋ฒจ์„ ๊ฐ€์ง€๋Š” 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์ ์‘ํ˜• ์ˆ˜์‹ ๊ธฐ์— ๋Œ€ํ•œ ๋‚ด์šฉ์ด ๊ธฐ์ˆ ๋˜์—ˆ๋‹ค. 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์†ก์‹ ๊ธฐ์—์„œ๋Š” ๊ต๋ฅ˜ ์—ฐ๊ฒฐ ๋งํฌ ์‹œ์Šคํ…œ์— ๋Œ€์‘ํ•˜๊ธฐ ์œ„ํ•œ ๋ฉด์  ๋ฐ ์ „๋ ฅ ํšจ์œจ์„ฑ์ด ์ข‹์€ 10B6Q ์ฝ”๋“œ๊ฐ€ ์ œ์•ˆ๋˜์—ˆ๋‹ค. ์ด ์ฝ”๋“œ๋Š” ์ง๋ฅ˜ ๋ฐธ๋Ÿฐ์Šค๋ฅผ ๋งž์ถ”๊ณ  ์—ฐ์†์ ์œผ๋กœ ๊ฐ™์€ ์‹ฌ๋ณผ์„ ๊ฐ€์ง€๋Š” ๊ธธ์ด๋ฅผ 6๊ฐœ๋กœ ์ œํ•œ ์‹œํ‚จ๋‹ค. ๋น„๋ก ์—ฌ๊ธฐ์„œ๋Š” ์ž…๋ ฅ ๋ฐ์ดํ„ฐ ๊ธธ์ด 10๋น„ํŠธ๋ฅผ ์‚ฌ์šฉํ•˜์˜€์ง€๋งŒ, ์ œ์•ˆ๋œ ๊ธฐ์ˆ ์€ ์นด๋ฉ”๋ผ์˜ ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ ํƒ€์ž…์— ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ž…๋ ฅ ๋ฐ์ดํ„ฐ ๊ธธ์ด์— ๋Œ€ํ•œ ํ™•์žฅ์„ฑ์„ ๊ฐ€์ง„๋‹ค. ๋ฐ˜๋ฉด, 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์ ์‘ํ˜• ์ˆ˜์‹ ๊ธฐ์—์„œ๋Š”, ์ƒ˜ํ”Œ๋Ÿฌ์˜ ์˜ต์…‹์„ ์ตœ์ ์œผ๋กœ ์ œ๊ฑฐํ•˜์—ฌ ๋” ๋‚ฎ์€ ๋น„ํŠธ์—๋Ÿฌ์œจ์„ ์–ป๊ธฐ ์œ„ํ•ด์„œ, ๊ธฐ์กด์˜ ๋ฐ์ดํ„ฐ ๋ฐ ์ฐธ์กฐ ๋ ˆ๋ฒจ์„ ์กฐ์ ˆํ•˜๋Š” ๋Œ€์‹ , ์ด ๋ ˆ๋ฒจ๋“ค์€ ๊ณ ์ •์‹œํ‚ค๊ณ  ๊ฐ€๋ณ€ ๊ฒŒ์ธ ์ฆํญ๊ธฐ๋ฅผ ์ ์‘ํ˜•์œผ๋กœ ์กฐ์ ˆํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์ƒ๊ธฐ 10B6Q ์ฝ”๋“œ ๋ฐ ๊ณ ์ • ๋ฐ์ดํ„ฐ ๋ฐ ์ฐธ์กฐ๋ ˆ๋ฒจ ๊ธฐ์ˆ ์„ ๊ฐ€์ง„ ํ”„๋กœํ† ํƒ€์ž… ์นฉ๋“ค์€ 40 ๋‚˜๋…ธ๋ฏธํ„ฐ ์ƒํ˜ธ๋ณด์™„ํ˜• ๋ฉ”ํƒˆ ์‚ฐํ™” ๋ฐ˜๋„์ฒด ๊ณต์ •์œผ๋กœ ์ œ์ž‘๋˜์—ˆ๊ณ  ์นฉ ์˜จ ๋ณด๋“œ ํ˜•ํƒœ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. 10B6Q ์ฝ”๋“œ๋Š” ํ•ฉ์„ฑ ๊ฒŒ์ดํŠธ ์ˆซ์ž๋Š” 645๊ฐœ์™€ ํ•จ๊ป˜ ๋‹จ 0.0009 mm2 ์˜ ๋ฉด์  ๋งŒ์„ ์ฐจ์ง€ํ•œ๋‹ค. ๋˜ํ•œ, 667 MHz ๋™์ž‘ ์ฃผํŒŒ์ˆ˜์—์„œ ๋‹จ 0.23 mW ์˜ ์ „๋ ฅ์„ ์†Œ๋ชจํ•œ๋‹ค. 10B6Q ์ฝ”๋“œ๋ฅผ ํƒ‘์žฌํ•œ ์†ก์‹ ๊ธฐ์—์„œ 8-Gb/s 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ๋ฅผ ๊ณ ์ • ๋ฐ์ดํ„ฐ ๋ฐ ์ฐธ์กฐ ๋ ˆ๋ฒจ์„ ๊ฐ€์ง€๋Š” ์ ์‘ํ˜• ์ˆ˜์‹ ๊ธฐ๋กœ 12-m ์ผ€์ด๋ธ” (22-dB ์ฑ„๋„ ๋กœ์Šค) ์„ ํ†ตํ•ด์„œ ๋ณด๋‚ธ ๊ฒฐ๊ณผ ์ตœ์†Œ ๋น„ํŠธ ์—๋Ÿฌ์œจ 108 ์„ ๋‹ฌ์„ฑํ•˜์˜€๊ณ , ๋น„ํŠธ ์—๋Ÿฌ์œจ 105 ์—์„œ๋Š” ์•„์ด ๋งˆ์ง„์ด 0.15 UI x 50 mV ๋ณด๋‹ค ํฌ๊ฒŒ ์ธก์ •๋˜์—ˆ๋‹ค. ์†ก์ˆ˜์‹ ๊ธฐ๋ฅผ ํ•ฉ์นœ ์ „๋ ฅ ์†Œ๋ชจ๋Š” 65.2 mW (PLL ์ œ์™ธ) ์ด๊ณ , ์„ฑ๊ณผ์˜ ๋Œ€ํ‘œ์ˆ˜์น˜๋Š” 0.37 pJ/b/dB ๋ฅผ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์ฒซ๋ฒˆ์งธ ํ”„๋กœํ† ํƒ€์ž… ์„ค๊ณ„์„ ํฌํ•จํ•˜์—ฌ ๊ฐœ์„ ๋œ ๋‘๋ฒˆ์งธ ํ”„๋กœํ† ํƒ€์ž… ์„ค๊ณ„์—์„œ๋Š”, 12-Gb/s 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์ •๋ฐฉํ–ฅ ์ฑ„๋„ ์‹ ํ˜ธ์™€ 125-Mb/s 2๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์—ญ๋ฐฉํ–ฅ ์ฑ„๋„ ์‹ ํ˜ธ๋ฅผ ํƒ‘์žฌํ•œ ๋น„๋Œ€์นญ ๋™์‹œ ์–‘๋ฐฉํ–ฅ ์†ก์ˆ˜์‹ ๊ธฐ์— ๋Œ€ํ•ด ๊ธฐ์ˆ ๋˜๊ณ  ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ์ œ์•ˆ๋œ ๋„“์€ ์„ ํ˜• ๋ฒ”์œ„๋ฅผ ๊ฐ€์ง€๋Š” ํ•˜์ด๋ธŒ๋ฆฌ๋“œ๋Š” gmC ์ €๋Œ€์—ญ ํ†ต๊ณผ ํ•„ํ„ฐ์™€ ์—์ฝ” ์ œ๊ฑฐ๊ธฐ์™€ ํ•จ๊ป˜ ์•„์›ƒ๋ฐ”์šด๋“œ ์‹ ํ˜ธ๋ฅผ 24 dB ์ด์ƒ ํšจ์œจ์ ์œผ๋กœ ๊ฐ์†Œ์‹œ์ผฐ๋‹ค. ๋˜ํ•œ, ๋„“์€ ์„ ํ˜• ๋ฒ”์œ„๋ฅผ ๊ฐ€์ง€๋Š” ํ•˜์ด๋ธŒ๋ฆฌ๋“œ์™€ ํ•จ๊ป˜ ๊ฒŒ์ธ ๊ฐ์†Œ๊ธฐ๋ฅผ ํ˜•์„ฑํ•˜๊ฒŒ ๋˜๋Š” ์„ ํ˜• ๋ฒ”์œ„ ์ฆํญ๊ธฐ๋ฅผ ํ†ตํ•ด 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ์˜ ์„ ํ˜•์„ฑ๊ณผ ์ง„ํญ์˜ ํŠธ๋ ˆ์ด๋“œ ์˜คํ”„ ๊ด€๊ณ„๋ฅผ ๊นจ๋Š” ๊ฒƒ์ด ๊ฐ€๋Šฅํ•˜์˜€๋‹ค. ๋™์‹œ ์–‘๋ฐฉํ–ฅ ์†ก์ˆ˜์‹ ๊ธฐ ์นฉ์€ 40 ๋‚˜๋…ธ๋ฏธํ„ฐ ์ƒํ˜ธ๋ณด์™„ํ˜• ๋ฉ”ํƒˆ ์‚ฐํ™” ๋ฐ˜๋„์ฒด ๊ณต์ •์œผ๋กœ ์ œ์ž‘๋˜์—ˆ๋‹ค. ์ƒ๊ธฐ ์„ค๊ณ„ ๊ธฐ์ˆ ๋“ค์„ ์ด์šฉํ•˜์—ฌ, 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ๋ฐ 2๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์†ก์ˆ˜์‹ ๊ธฐ ๋ชจ๋‘ 5m ์ฑ„๋„ (์ฑ„๋„ ๋กœ์Šค 15.9 dB) ์—์„œ 1E-12 ๋ณด๋‹ค ๋‚ฎ์€ ๋น„ํŠธ ์—๋Ÿฌ์œจ์„ ๋‹ฌ์„ฑํ•˜์˜€๊ณ , ์ด 78.4 mW ์˜ ์ „๋ ฅ ์†Œ๋ชจ๋ฅผ ๊ธฐ๋กํ•˜์˜€๋‹ค. ์ข…ํ•ฉ์ ์ธ ์†ก์ˆ˜์‹ ๊ธฐ๋Š” ์„ฑ๊ณผ ๋Œ€ํ‘œ์ง€ํ‘œ๋กœ 0.41 pJ/b/dB ์™€ ํ•จ๊ป˜ ๋™์‹œ ์–‘๋ฐฉํ–ฅ ํ†ต์‹  ์•„๋ž˜์—์„œ 4๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ ๋ฐ 2๋ ˆ๋ฒจ ํŽ„์Šค ์ง„ํญ ๋ณ€์กฐ ์‹ ํ˜ธ ๊ฐ๊ฐ์—์„œ ์•„์ด ๋งˆ์ง„ 0.15 UI ์™€ 0.57 UI ๋ฅผ ๋‹ฌ์„ฑํ•˜์˜€๋‹ค. ์ด ์ˆ˜์น˜๋Š” ์„ฑ๊ณผ ๋Œ€ํ‘œ์ง€ํ‘œ 0.5 ์ดํ•˜๋ฅผ ๊ฐ€์ง€๋Š” ๊ธฐ์กด ๋™์‹œ ์–‘๋ฐฉํ–ฅ ์†ก์ˆ˜์‹ ๊ธฐ์™€์˜ ๋น„๊ต์—์„œ ์ตœ๊ณ ์˜ ์•„์ด ๋งˆ์ง„์„ ๊ธฐ๋กํ•˜์˜€๋‹ค.In this dissertation, design techniques of a highly asymmetric simultaneous bidirectional (SB) transceivers with high-speed PAM-4 and low-speed PAM-2 signals are proposed and demonstrated for the next-generation automotive camera link. In a first prototype design, a PAM-4 transmitter with 10B6Q DC balance code and a PAM-4 adaptive receiver with fixed data and threshold levels (dtLevs) are presented. In PAM-4 transmitter, an area- and power-efficient 10B6Q code for an AC coupled link system that guarantees DC balance and limited run length of six is proposed. Although the input data width of 10 bits is used here, the proposed scheme has an extensibility for the input data width to cover various data types of the camera. On the other hand, in the PAM-4 adaptive receiver, to optimally cancel the sampler offset for a lower BER, instead of adjusting dtLevs, the gain of a programmable gain amplifier is adjusted adaptively under fixed dtLevs. The prototype chips including above proposed 10B6Q code and fixed dtLevs are fabricated in 40-nm CMOS technology and tested in chip-on-board assembly. The 10B6Q code only occupies an active area of 0.0009 mm2 with a synthesized gate count of 645. It also consumes 0.23 mW at the operating clock frequency of 667 MHz. The transmitter with 10B6Q code delivers 8-Gb/s PAM-4 signal to the adaptive receiver using fixed dtLevs through a lossy 12-m cable (22-dB channel loss) with a BER of 1E-8, and the eye margin larger than 0.15 UI x 50 mV is measured for a BER of 1E-5. The proto-type chips consume 65.2 mW (excluding PLL), exhibiting an FoM of 0.37 pJ/b/dB. In a second prototype design advanced from the first prototypes, An asymmetric SB transceivers incorporating a 12-Gb/s PAM-4 forward channel and a 125-Mb/s PAM-2 back channel are presented and demonstrated. The proposed wide linear range (WLR) hybrid combined with a gmC low-pass filter and an echo canceller effectively suppresses the outbound signals by more than 24dB. In addition, linear range enhancer which forms a gain attenuator with WLR hybrid breaks the trade-off between the linearity and the amplitude of the PAM-4 signal. The SB transceiver chips are separately fabricated in 40-nm CMOS technology. Using above design techniques, both PAM-4 and PAM-2 SB transceivers achieve BER less than 1E-12 over a 5-m channel (15.9 dB channel loss), consuming 78.4 mW. The overall transceivers achieve an FoM of 0.41 pJ/b/dB and eye margin (at BER of 1E-12) of 0.15 UI and 0.57 UI for the forward PAM-4 and back PAM-2 signals, respectively, under SB communication. This is the best eye margin compared to the prior art SB transceivers with an FoM less than 0.5.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 DISSERTATION ORGANIZATION 4 CHAPTER 2 BACKGROUND ON AUTOMOTIVE CAMERA LINK 6 2.1 OVERVIEW 6 2.2 SYSTEM REQUIREMENTS 10 2.2.1 CHANNEL 10 2.2.2 POWER OVER DIFFERENTIAL LINE (PODL) 12 2.2.3 AC COUPLING AND DC BALANCE CODE 15 2.2.4 SIMULTANEOUS BIDIRECTIONAL COMMUNICATION 18 2.2.4.1 HYBRID 18 2.2.4.2 ECHO CANCELLER 20 2.2.5 ADAPTIVE RECEIVE EQUALIZATION 22 CHAPTER 3 AREA AND POWER EFFICIENT 10B6Q ENCODER FOR DC BALANCE 25 3.1 INTRODUCTION 25 3.2 PRIOR WORKS 28 3.3 PROPOSED AREA- AND POWER-EFFICIENT 10B6Q PAM-4 CODER 30 3.4 DESIGN OF THE 10B6Q CODE 33 3.4.1 PAM-4 DC BALANCE 35 3.4.2 PAM-4 TRANSITION DENSITY 35 3.4.3 10B6Q DECODER 37 3.5 IMPLEMENTATION AND MEASUREMENT RESULTS 40 CHAPTER 4 PAM-4 TRANSMITTER AND ADAPTIVE RECEIVER WITH FIXED DATA AND THRESHOLD LEVELS 45 4.1 INTRODUCTION 45 4.2 PRIOR WORKS 47 4.3 ARCHITECTURE AND IMPLEMENTATION 49 4.2.1 PAM-4 TRANSMITTER 49 4.2.2 PAM-4 ADAPTIVE RECEIVER 52 4.3 MEASUREMENT RESULTS 62 CHAPTER 5 ASYMMETRIC SIMULTANEOUS BIDIRECTIONAL TRANSCEIVERS USING WIDE LINEAR RANGE HYBRID 68 5.1 INTRODUCTION 68 5.2 PRIOR WORKS 70 5.3 WIDE LINEAR RANGE (WLR) HYBRID 75 5.3 IMPLEMENTATION 78 5.3.1 SERIALIZER (SER) DESIGN 78 5.3.2 DESERIALIZER (DES) DESIGN 79 5.4 HALF CIRCUIT ANALYSIS OF WLR HYBRID AND LRE 82 5.5 MEASUREMENT RESULTS 88 CHAPTER 6 CONCLUSION 97 BIBLIOGRAPHY 99 ์ดˆ ๋ก 106๋ฐ•

    List Decoding Random Euclidean Codes and Infinite Constellations

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    We study the list decodability of different ensembles of codes over the real alphabet under the assumption of an omniscient adversary. It is a well-known result that when the source and the adversary have power constraints P P and N N respectively, the list decoding capacity is equal to 12logโกPN \frac{1}{2}\log\frac{P}{N} . Random spherical codes achieve constant list sizes, and the goal of the present paper is to obtain a better understanding of the smallest achievable list size as a function of the gap to capacity. We show a reduction from arbitrary codes to spherical codes, and derive a lower bound on the list size of typical random spherical codes. We also give an upper bound on the list size achievable using nested Construction-A lattices and infinite Construction-A lattices. We then define and study a class of infinite constellations that generalize Construction-A lattices and prove upper and lower bounds for the same. Other goodness properties such as packing goodness and AWGN goodness of infinite constellations are proved along the way. Finally, we consider random lattices sampled from the Haar distribution and show that if a certain number-theoretic conjecture is true, then the list size grows as a polynomial function of the gap-to-capacity

    Fast Decoding of Explicit Almost Optimal ?-Balanced q-Ary Codes And Fast Approximation of Expanding k-CSPs

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