WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION

WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION

Bibliographic Details
Main Author: Chen, Fangzhou
Language:English
Published: The Ohio State University / OhioLINK 2017
Subjects:
Electrical Engineering
wireless communication
electrical engineering
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1503062069085737
id ndltd-OhioLink-oai-etd.ohiolink.edu-osu1503062069085737
record_format oai_dc
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
wireless communication
electrical engineering
spellingShingle Electrical Engineering
wireless communication
electrical engineering
Chen, Fangzhou
WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
author Chen, Fangzhou
author_facet Chen, Fangzhou
author_sort Chen, Fangzhou
title WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
title_short WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
title_full WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
title_fullStr WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
title_full_unstemmed WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION
title_sort wireless communication under imperfect source/channel information
publisher The Ohio State University / OhioLINK
publishDate 2017
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1503062069085737
work_keys_str_mv AT chenfangzhou wirelesscommunicationunderimperfectsourcechannelinformation
_version_ 1719452851462209536
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu15030620690857372021-08-03T07:03:57Z WIRELESS COMMUNICATION UNDER IMPERFECT SOURCE/CHANNEL INFORMATION Chen, Fangzhou Electrical Engineering wireless communication electrical engineering The rapid development of demand for wireless data has lead to the developmentof numerous new applications, which the existing networks were not designed to handle.Dierent applications may have substantially dierent quality of service (QoS)requirements involving reliability, security, delay and throughput. Regardless of therequired QoS, the perfect knowledge of source/channel conditions can always help toimprove the performance. However, due to the intractability and unpredictability ofthe wireless communication environment, well-performed techniques under imperfectknowledge of source/channel information are more desirable from practical point ofview, which is the focus of this research dissertation. First, we focus on wireless communication under imperfect source informationproblem. We consider a system in which two nodes take correlated measurementsof a random source with time-varying and unknown statistics. The observations ofthe source at the rst node are to be losslessly replicated with a given probability ofoutage at the second node, which receives data from the rst node over a constant-rateerrorless channel. We develop a system and associated strategies for joint distributedsource coding (encoding and decoding) and transmission control in order to achievelow end-to-end delay. Slepian-Wolf coding in its traditional form cannot be appliedin our scenario, since the encoder requires the joint statistics of the observations andthe associated decoding delay is very high. We analytically evaluate the performanceof our strategies and show that the delay achieved by them are order optimal, as the conditional entropy of the source approaches to the channel rate. We also evaluate theperformance of our algorithms based on real-world experiments using two camerasrecording videos of a scene at dierent angles. Having realized our schemes, wedemonstrated that, even with a very low-complexity quantizer, a compression ratio ofapproximately 50% is achievable for lossless replication at the decoder, at an averagedelay of a few seconds. Second, we shift our focus on addressing wireless communication under imperfectknowledge of channel information problems, faced in power control for cellular networks.Coordinated Multipoint (CoMP) promised substantial throughput gain fornext-generation cellular systems. However, realizing this gain is costly in terms ofpilots and backhaul bandwidth, and may require substantial modications in physicallayerhardware. Targeting ecient throughput gain, we develop a novel coordinatedpower control scheme for uplink cellular networks called Checks and Balances (C&B),which checks the received signal strength of one user and its generated interferenceto neighboring base stations, and balances the two. C&B has some highly attractiveadvantages: C&B (i) can be implemented easily in software, (ii) does not requireto upgrade non-CoMP physical-layer hardware, (iii) allows for fully distributed implementationfor each user equipment (UE), and (iv) does not need extra pilots orbackhaul communications. We evaluate the throughput performance of C&B onan uplink LTE system-level simulation platform, which is carefully calibrated withHuawei. Our simulation results show that C&B achieves much better throughputperformance, compared to several widely-used power control schemes. Lastly, we focus on adaptive modulation and coding (AMC). In this dissertation,we propose a new rate adaptation method that consists of two parts: a data-guidedphysical layer abstraction model and a recursive SINR estimation and AMC controlalgorithm. The key features of this new rate adaptation method are three-fold: (i)iiiAccurate and robust modeling: The block error rate (BLER) calculated from theabstracted physical layer model precisely matches with the BLER generated froman LTE link-level simulator under various scenarios (including dierent LTE channelmodels, SINR regimes, and user mobility speeds). (ii) Low complexity: Theabstracted physical layer model has very simple analytical expressions, and our algorithm can be realized with only a few computations. (iii) Fast convergence: Understatic channel conditions, the SINR estimation error of our algorithm decays to zeroat the fastest speed among all algorithms that achieve the throughput-optimal rateselection. Under dynamic channel conditions, simulation results obtained from theLTE link-level simulator show that the performance of our algorithm is much betterthan several state-of-the-art algorithms, and is close to the performance of an AMCcontrol algorithm with perfect channel estimation. 2017 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1503062069085737 http://rave.ohiolink.edu/etdc/view?acc_num=osu1503062069085737 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

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