118 research outputs found

    Investigation of Channel Adaptation and Interference for Multiantenna OFDM

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    Performance analysis of diversity techniques in wireless communication systems: Cooperative systems with CCI and MIMO-OFDM systems

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    This Dissertation analyzes the performance of ecient digital commu- nication systems, the performance analysis includes the bit error rate (BER) of dier- ent binary and M-ary modulation schemes, and the average channel capacity (ACC) under dierent adaptive transmission protocols, namely, the simultaneous power and rate adaptation protocol (OPRA), the optimal rate with xed power protocol (ORA), the channel inversion with xed rate protocol (CIFR), and the truncated channel in- version with xed transmit power protocol (CTIFR). In this dissertation, BER and ACC performance of interference-limited dual-hop decode-and-forward (DF) relay- ing cooperative systems with co-channel interference (CCI) at both the relay and destination nodes is analyzed in small-scale multipath Nakagami-m fading channels with arbitrary (integer as well as non-integer) values of m. This channel condition is assumed for both the desired signal as well as co-channel interfering signals. In addition, the practical case of unequal average fading powers between the two hops is assumed in the analysis. The analysis assumes an arbitrary number of indepen- dent and non-identically distributed (i.n.i.d.) interfering signals at both relay (R) and destination (D) nodes. Also, the work extended to the case when the receiver employs the maximum ratio combining (MRC) and the equal gain combining (EGC) schemes to exploit the diversity gain

    Performance evaluation for communication systems with receive diversity and interference

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    Optimum combining (OC) is a well-known coherent detection technique used to combat fading and suppress cochannel interference. In this dissertation, expressions are developed to evaluate the error probability of OC for systems with multiple interferers and multiple receiving branches. Three approaches are taken to derive the expressions. The first one starts from the decision metrics of OC. It facilitates obtaining closed-form expressions for binary phase-shift keying modulation. The second approach utilizes the moment generating function of the output signal to interference plus noise ratio (SINR) and results in expressions for symbol and bit error probability for multiple phaseshift keying modulation. The third method uses the probability density function of the output SINR and arrives at expressions of symbol error probability for systems where the interferers may have unequal power levels. Throughout the derivation, it is assumed that the channels are independent Rayleigh fading channels. With these expressions, evaluating the error probability of OC is fast, easy and accurate. Two noncoherent detection schemes based on the multiple symbol differential detection (MSDD) technique are also developed for systems with multiple interferers and multiple receiving branches. The first MSDD scheme is developed for systems where the channel gain of the desired signal is unknown to the receiver, but the covariance matrix of the interference plus noise is known. The maximum-likelihood decision statistic is derived for the detector. The performance of MSDD is demonstrated by analysis and simulation. A sub-optimum decision feedback algorithm is presented to reduce the computation complexity of the MSDD decision statistic. This suboptimum algorithm achieves performance that is very close to that of the optimum algorithm. It can be shown that with an increasing observation interval, the performance of this kind of MSDD approaches that of OC with differential encoding. The second MSDD scheme is developed for the case in which the only required channel information is the channel gain of the interference. It is shown that when the interference power level is high, this MSDD technique can achieve good performance

    Design and analysis of wireless diversity system

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    Ph.DDOCTOR OF PHILOSOPH

    Maximal Ratio Transmission in Wireless Poisson Networks under Spatially Correlated Fading Channels

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    The downlink of a wireless network where multi-antenna base stations (BSs) communicate with single-antenna mobile stations (MSs) using maximal ratio transmission (MRT) is considered here. The locations of BSs are modeled by a homogeneous Poisson point process (PPP) and the channel gains between the multiple antennas of each BS and the single antenna of each MS are modeled as spatially arbitrarily correlated Rayleigh random variables. We first present novel closed-form expressions for the distribution of the power of the interference resulting from the coexistence of one intended and one unintended MRT over the considered correlated fading channels. The derived expressions are then used to obtain closed-form expressions for the success probability and area spectral efficiency of the wireless communication network under investigation. Simulation results corroborate the validity of the presented expressions. A key result of this work is that the effect of spatial correlation on the network throughput may be contrasting depending on the density of BSs, the signal-to-interference-plus-noise ratio (SINR) level, and the background noise power.Comment: 6 pages, 6 figures, IEEE GLOBECOM 201

    ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์ด ์กด์žฌํ•˜๋Š” ํŽ˜์ด๋”ฉ์ฑ„๋„์—์„œ ๋ฌด์„  ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์˜ ์„ฑ๋Šฅ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2014. 8. ์ด์žฌํ™.๋ฌด์„  ์ค‘๊ณ„ ๊ธฐ์ˆ ์€ ์ฐจ์„ธ๋Œ€ ํ†ต์‹  ์‹œ์Šคํ…œ์—์„œ ์š”๊ตฌ๋˜๋Š” ๋†’์€ ์„œ๋น„์Šค ํ’ˆ์งˆ/๋ฐ์ดํ„ฐ ์ „์†ก๋ฅ  ๋‹ฌ์„ฑ์„ ์œ„ํ•œ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ์ค‘๊ณ„ ๊ธฐ์ˆ ์ด ๊ฐ–๊ณ  ์žˆ๋Š” ๋‹ค์–‘ํ•œ ์žฅ์ ์œผ๋กœ ์ธํ•ด ์ค‘๊ณ„ ๊ธฐ์ˆ ์€ ์ง€๊ธˆ๊นŒ์ง€ IEEE 802.16j ๋ฐ 3GPP LTE-Advanced ๋“ฑ์˜ ๋ฌด์„ ํ†ต์‹  ์‹œ์Šคํ…œ ํ‘œ์ค€์— ๋ฐ˜์˜๋˜๊ธฐ๋„ ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์งˆ์ ์ธ ๋ฌด์„  ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์˜ ํ”„๋กœํ† ์ฝœ ๊ฐœ๋ฐœ์„ ์œ„ํ•ด์„œ๋Š” ์—ฌ์ „ํžˆ ํ•ด๊ฒฐํ•ด์•ผํ•˜๋Š” ๋งŽ์€ ๋ฌธ์ œ๋“ค์ด ์žˆ๋‹ค. ํŠนํžˆ ๋Œ€ํ˜•์…€๊ณผ ์†Œํ˜•์…€์ด ๋™์‹œ์— ์กด์žฌํ•˜๋Š” ์ค‘์ฒฉ์…€ ๋„คํŠธ์›Œํฌ์—์„œ ์ด์›ƒํ•œ ๋Œ€ํ˜•์…€ ๋ฐ ์†Œํ˜•์…€๋กœ๋ถ€ํ„ฐ ๋ฐ›๊ฒŒ๋˜๋Š” ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์€ ์ฐจ์„ธ๋Œ€ ๋ฌด์„ ํ†ต์‹  ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ์ €ํ•˜์‹œํ‚ค๋Š” ์ฃผ์š” ์ œํ•œ ์š”์†Œ์ธ๋ฐ ์•„์ง ์—ฐ๊ตฌ๊ฐ€ ๋ฏธํกํ•œ ์‹ค์ •์ด๋‹ค. ๋˜ํ•œ ์ „์ด์ค‘ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์—์„œ ๋‹จ๋ง๊ธฐ์˜ ์†ก์‹ ์•ˆํ…Œ๋‚˜์—์„œ ์ˆ˜์‹ ์•ˆํ…Œ๋‚˜๋กœ ๋“ค์–ด์˜ค๋Š” ๋™์ผ์ฑ„๋„ ๋ฃจํ”„๊ฐ„์„ญ์€ ์ „์ด์ค‘ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์˜ ์„ฑ๋Šฅ์„ ๊ฒฐ์ •ํ•˜๋Š” ์ค‘์š”ํ•œ ์š”์†Œ๋กœ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•œ ์‹ค์ •์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์„ ํฌํ•จํ•œ ์–‘๋ฐฉํ–ฅ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ, ๋™์ผ์ฑ„๋„ ๋ฃจํ”„๊ฐ„์„ญ์„ ํฌํ•จํ•œ ์–‘๋ฐฉํ–ฅ ์ „์ด์ค‘ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ ๋ฐ ๋ฌด์„  ์ธ์ง€ ๋‹ค์ค‘ ํ™‰ ๋„คํŠธ์›Œํฌ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•˜๋ฉฐ, ์ฃผ์š”ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์…€๋ฃฐ๋Ÿฌ ํ™˜๊ฒฝ์—์„œ ๋†’์€ ์ฃผํŒŒ์ˆ˜ ์žฌ์‚ฌ์šฉ์œจ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•œ ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์ด ์กด์žฌํ•˜๋Š” ์–‘๋ฐฉํ–ฅ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•œ๋‹ค. ์ด๋•Œ ์ž„์˜์˜ ํ•œ ์‚ฌ์šฉ์ž๊ฐ€ ๋ถˆ๋Šฅ ์‚ฌ๊ฑด์ด ๋ฐœ์ƒํ•˜๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค(๊ฐœ๋ณ„ ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ), ์ „์ฒด ์‚ฌ์šฉ์ž๊ฐ€ ๋™์‹œ์— ๋ถˆ๋Šฅ ์‚ฌ๊ฑด์ด ๋ฐœ์ƒํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค(์ „์ฒด ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ)์˜ ๋‘ ๊ฐ€์ง€์— ๋Œ€ํ•ด ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•œ๋‹ค. ์—ฌ๊ธฐ์—์„œ ๊ฐ ์‹œ๋‚˜๋ฆฌ์˜ค์— ๋Œ€ํ•˜์—ฌ ๊ฐœ๋ณ„ ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ ํ™•๋ฅ  ๋ฐ ์ „์ฒด ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ ํ™•๋ฅ ์„ ํํ˜•์œผ๋กœ ์œ ๋„ํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ๋ถˆ๋Šฅ ํ™•๋ฅ ์ด ์œ ๋„ํ•œ ๋ถˆ๋Šฅ ํ™•๋ฅ  ๊ฐ’๊ณผ ์ผ์น˜ํ•จ์„ ํ™•์ธํ•œ๋‹ค. ๋˜ํ•œ ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์„ ๋ฐœ์ƒํ•˜๋Š” ์ธ์ ‘ ์…€์˜ ์‚ฌ์šฉ์ž๊ฐ€ ๋Š˜์–ด๋‚ ์ˆ˜๋ก ๊ฐœ๋ณ„ ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ ํ™•๋ฅ  ๋ฐ ์ „์ฒด ์‚ฌ์šฉ์ž ๋ถˆ๋Šฅ ํ™•๋ฅ ์ด ์ฆ๊ฐ€ํ•จ์„ ํ™•์ธํ•œ๋‹ค. ๋‘˜์งธ, ๋™์ผ์ฑ„๋„ ๋ฃจํ”„๊ฐ„์„ญ์ด ์กด์žฌํ•˜๋Š” ์ „์ด์ค‘ ์–‘๋ฐฉํ–ฅ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ๋ฅผ ์—ฐ๊ตฌํ•œ๋‹ค. ์—ฌ๊ธฐ์—์„œ ๋‘ ์ „์ด์ค‘ ๋ฐฉ์‹์˜ ์‚ฌ์šฉ์ž๋“ค์ด ์ „์ด์ค‘ ๋ฐฉ์‹์˜ ์ค‘๊ณ„๊ธฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์„œ๋กœ ์‹ ํ˜ธ๋ฅผ ๊ตํ™˜ํ•œ๋‹ค. ์ด๋•Œ ๊ฐ ๋‹จ๋ง๊ธฐ๋“ค์€ ์ž์‹ ์˜ ์ˆ˜์‹  ์‹ ํ˜ธ์—์„œ ๋ฃจํ”„๊ฐ„์„ญ ์‹ ํ˜ธ์˜ ์ถ”์ •์น˜๋ฅผ ์ œ๊ฑฐํ•œ๋‹ค. ๋‹จ๋ง๊ธฐ๋“ค์ด ์ฑ„๋„ ์ƒํƒœ ์ •๋ณด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ํ˜น์€ ๋ถ€์ •ํ™•ํ•˜๊ฒŒ ์•Œ๊ณ  ์žˆ๋Š” ๊ฒฝ์šฐ์— ์ „์ด์ค‘ ์–‘๋ฐฉํ–ฅ ์ค‘๊ณ„ ๋„คํŠธ์›Œํฌ์˜ ๋ถˆ๋Šฅ ํ™•๋ฅ ์„ ์ •ํ™•ํ•œ ์ ๋ถ„ ํ‘œํ˜„ ๋ฐ ๊ทผ์‚ฌ์  ํํ˜• ํ‘œํ˜„์œผ๋กœ ์œ ๋„ํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง€ ๊ฒฐ๊ณผ๊ฐ€ ์œ ๋„ํ•œ ์ˆ˜์‹๊ณผ ์ผ์น˜ํ•จ์„ ํ™•์ธํ•œ๋‹ค. ์…‹์งธ, ๋Œ€ํ˜•์…€๊ณผ ์†Œํ˜•์…€์ด ๋™์‹œ์— ์กด์žฌํ•˜๋Š” ์ค‘์ฒฉ์…€ ๋„คํŠธ์›Œํฌ๋ฅผ ์—ฐ๊ตฌํ•œ๋‹ค. ํŠนํžˆ ์ธ์ ‘ ๋Œ€ํ˜•์…€ ๋ฐ ์†Œํ˜•์…€์—์„œ ๋ฐœ์ƒํ•œ ๋™์ผ์ฑ„๋„๊ฐ„์„ญ์ด ์กด์žฌํ•˜๋Š” ๋ฌด์„  ์ธ์ง€ ๊ธฐ๋ฐ˜ ๋‹ค์ค‘ ํ™‰ ์†Œํ˜•์…€ ๋„คํŠธ์›Œํฌ์˜ ๋ถˆ๋Šฅ ํ™•๋ฅ ์„ ๋ถ„์„ํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ๋ถˆ๋Šฅ ํ™•๋ฅ ์„ ํ†ตํ•ด ์œ ๋„ํ•œ ๋ถˆ๋Šฅ ํ™•๋ฅ ์„ ๊ฒ€์ฆํ•œ๋‹ค. ์œ ๋„ํ•œ ๋ถˆ๋Šฅ ํ™•๋ฅ  ๊ฐ’๊ณผ ๋ชจ์˜์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ๋ถˆ๋Šฅ ํ™•๋ฅ  ๊ฐ’์ด ์ผ์น˜ํ•จ์„ ํ™•์ธํ•œ๋‹ค. ๋Œ€ํ˜•์…€์˜ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋ถˆ๋Šฅ ํ™•๋ฅ ์ด ์ฆ๊ฐ€ํ•จ์„ ํ™•์ธํ•œ๋‹ค.Wireless relay technology is one of the most promising technologies for the future communication systems which provide higher data rate and better quality of service (QoS). Thanks to its advantages, it has been adopted in wireless standards such as IEEE 802.16j and 3GPP LTE-Advanced. However, there are still many challenges to be addressed for developing protocols of wireless relay networks. Especially, in multitier cellular networks (e.g. small cell underlaid macro cell), cochannel interference from multiple interferers in other macro cells and neighboring small cells is one of the major limiting factors due to frequency reuse for high spectrum utilization. In the full-duplex relay networks, cochannel loop interference from a transmit antenna to a receive antenna of a terminal is an important limiting factor to determine the performance of full-duplex relay networks. The dissertation consists of three main results. First, we analyze the performance of a two-way relay network experiencing cochannel interference from multiple interferers due to frequency reuse in cellular networks. In the two-way relay network, two users exchange their information with the help of an amplify-and-forward (AF) relay. We discuss two different scenarios: Outages are declared individually for each user (individual outage) and an outage is declared simultaneously for all users (common outage). We derive the closed-form expression for the individual outage probability and the exact integral expression for the common outage probability of the two-way relay network with multiple interferers. The validity of our analytical results is verified by a comparison with simulation results. It is shown that the analytical results perfectly match the simulation results of the individual and common outage probabilities. Also, it is shown that the individual and common outage probabilities increase as the number of interferers increases. Second, we investigate two-way full-duplex relaying with cochannel loop interference. In the two-way full-duplex relaying, two full-duplex users exchange data with each other via a full-duplex relay and each node attempts to subtract the estimate of the cochannel loop interference from its received signal. We derive the exact integral and approximate closed-form expressions for the outage probability of the two-way full-duplex relaying in case of perfect and imperfect channel state information. Monte Carlo simulation verifies the validity of analytical results. Third, we investigate a cognitive small cell network which is overlaid with a cellular network. We analyze the performance of the cognitive small cell network in the presence of cochannel interference from the cellular network. Analytical results are verified by Monte Carlo simulations. It is shown that the analytical results are in complete agreement with simulation results. It is shown that the outage probability increases as the number of cells increases.Abstract 1 Introduction 1.1 Background and Related Works 1.1.1 Relay Technology 1.1.2 Cognitive Radio 1.2 Outline of Dissertation 1.3 Notations 2 Two-Way Relay Network with Cochannel Interference 2.1 System Model 2.2 Outage Probability Derivation 2.2.1 Moment Generating Functions 2.2.2 Individual Outage Probability 2.2.3 Common Outage Probability 2.3 Numerical Results 2.4 Summary 3 Two-Way Full-Duplex Relaying with Cochannel Loop Interference 3.1 System Model 3.2 Outage Probability Derivation 3.2.1 Signal-to-Interference-plus-Noise Ratio 3.2.2 Cumulative Density Function 3.2.3 Outage Probability 3.3 Numerical Results 3.4 Summary 4 Multi-hop Cognitive Radio Network with Cochannel Interference 4.1 System Model 4.2 Outage Probability Derivation 4.2.1 Signal-to-Interference-plus-Noise Ratio 4.2.2 Cumulative Density Function 4.2.3 Outage Probability 4.3 Numerical Results 4.4 Summary 5 Conclusions 5.1 Summary 5.2 Future Works Bibliography Korean Abstract AcknowledgmentsDocto
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