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141	Implementation of Low-Density Parity-Check codes for 5G NR shared channels / Implementering av paritetskoder med låg densitet för delade 5G NR kanaler Wang, Lifang January 2021 (has links) Channel coding plays a vital role in telecommunication. Low-Density Parity- Check (LDPC) codes are linear error-correcting codes. According to the 3rd Generation Partnership Project (3GPP) TS 38.212, LDPC is recommended for the Fifth-generation (5G) New Radio (NR) shared channels due to its high throughput, low latency, low decoding complexity and rate compatibility. LDPC encoding chain has been defined in 3GPP TS 38.212, but some details of LDPC encoding chain are still required to be explored in the MATLAB environment. For example, how to deal with the filler bits for encoding and decoding. However, as the reverse process of LDPC encoding, there is no information on LDPC decoding process for 5G NR shared channels in 3GPP TS 38.212. In this thesis project, LDPC encoding and decoding chains were thoughtfully developed with MATLAB programming based on 3GPP TS 38.212. Several LDPC decoding algorithms were implemented and optimized. The performance of LDPC algorithms was evaluated using block error rate (BLER) v.s. signal to noise ratio (SNR) and CPU time. Results show that the double diagonal structure-based encoding method is an efficient LDPC encoding algorithm for 5G NR. Layered Sum Product Algorithm (LSPA) and Layered Min-Sum Algorithm (LMSA) are more efficient than Sum Product Algorithm (SPA) and Min-Sum Algorithm (MSA). Layered Normalized Min-Sum Algorithm (LNMSA) with proper normalization factor and Layered Offset Min-Sum Algorithm (LOMSA) with good offset factor can optimize LMSA. The performance of LNMSA and LOMSA decoding depends more on code rate than transport block. / Kanalkodning spelar en viktig roll i telekommunikation. Paritetskontrollkoder med låg densitet (LDPC) är linjära felkorrigeringskoder. Enligt tredje generationens partnerskapsprojekt (3GPP) TS 38.212, LDPC rekommenderas för den femte generationens (5G) nya radio (NR) delade kanal på grund av dess höga genomströmning, låga latens, låga avkodningskomplexitet och hastighetskompatibilitet. LDPC kodningskedjan har definierats i 3GPP TS 38.212, men vissa detaljer i LDPC kodningskedjan krävs fortfarande för att utforskas i Matlabmiljön. Till exempel hur man hanterar fyllnadsbitar för kodning och avkodning. Men som den omvända processen för LDPC kodning finns det ingen information om LDPC avkodningsprocessen för 5G NR delade kanaler på 3GPP TS 38.212. I detta avhandlingsprojekt utvecklades LDPC-kodning och avkodningskedjor enligt 3GPP TS 38.212. Flera LDPC-avkodningsalgoritmer implementerades och optimerades. Prestandan för LDPC-algoritmer utvärderades med användning av blockfelshalt (BLER) v.s. signal / brusförhållande (SNR) och CPU-tid. Resultaten visar att den dubbla diagonala strukturbaserade kodningsmetoden är en effektiv LDPC kodningsalgoritm för 5G NR. Layered Sum Product Algorithm (LSPA) och Layered Min-Sum Algorithm (LMSA) är effektivare än Sum Product Algorithm (SPA) och Min-Sum Algorithm (MSA). Layered Normalized Min-Sum Algorithm (LNMSA) med rätt normaliseringsfaktor och Layered Offset Min-Sum Algorithm (LOMSA) med bra offsetfaktor kan optimera LMSA. Prestandan för LNMSA- och LOMSA-avkodning beror mer på kodhastighet än transportblock. New radio (NR) Shared channel Channel coding Low-Density Parity-Check (LDPC) codes Layered Offset Min-Sum Algorithm (LOMSA) Ny radio (NR) Delad kanal Kanalkodning Layered Offset Min-Sum Algorithm (LOMSA) Computer and Information Sciences Data- och informationsvetenskap
142	Joint Source-Channel Coding Reliability Function for Single and Multi-Terminal Communication Systems Zhong, Yangfan 15 May 2008 (has links) Traditionally, source coding (data compression) and channel coding (error protection) are performed separately and sequentially, resulting in what we call a tandem (separate) coding system. In practical implementations, however, tandem coding might involve a large delay and a high coding/decoding complexity, since one needs to remove the redundancy in the source coding part and then insert certain redundancy in the channel coding part. On the other hand, joint source-channel coding (JSCC), which coordinates source and channel coding or combines them into a single step, may offer substantial improvements over the tandem coding approach. This thesis deals with the fundamental Shannon-theoretic limits for a variety of communication systems via JSCC. More specifically, we investigate the reliability function (which is the largest rate at which the coding probability of error vanishes exponentially with increasing blocklength) for JSCC for the following discrete-time communication systems: (i) discrete memoryless systems; (ii) discrete memoryless systems with perfect channel feedback; (iii) discrete memoryless systems with source side information; (iv) discrete systems with Markovian memory; (v) continuous-valued (particularly Gaussian) memoryless systems; (vi) discrete asymmetric 2-user source-channel systems. For the above systems, we establish upper and lower bounds for the JSCC reliability function and we analytically compute these bounds. The conditions for which the upper and lower bounds coincide are also provided. We show that the conditions are satisfied for a large class of source-channel systems, and hence exactly determine the reliability function. We next provide a systematic comparison between the JSCC reliability function and the tandem coding reliability function (the reliability function resulting from separate source and channel coding). We show that the JSCC reliability function is substantially larger than the tandem coding reliability function for most cases. In particular, the JSCC reliability function is close to twice as large as the tandem coding reliability function for many source-channel pairs. This exponent gain provides a theoretical underpinning and justification for JSCC design as opposed to the widely used tandem coding method, since JSCC will yield a faster exponential rate of decay for the system error probability and thus provides substantial reductions in complexity and coding/decoding delay for real-world communication systems. / Thesis (Ph.D, Mathematics & Statistics) -- Queen's University, 2008-05-13 22:31:56.425 Common and private message Common randomization Correlated sources Discrete memoryless sources and channels Error exponent Excess distortion exponent Feedback Fenchel transform Probability of error Probability of excess distortion Fenchel duality theorem Hamming distortion measure Joint source-channel coding Markov types Multiple-access channel Reliability function Separation principle Stationary ergodic Mrkov source/channel Tandem coding Type packing lemma Broadcast channel
143	Various resource allocation and optimization strategies for high bit rate communications on power lines Syed Muhammad, Fahad 17 March 2010 (has links) (PDF) Ces dernières années, le développement des réseaux de communication indoor et outdoor et l'augmentation du nombre d'applications conduisent à un besoin toujours croissant de transmission de données à haut débit. Parmi les nombreuses technologies concurrentes, les communications par courant porteur en ligne (CPL) ont leur place en raison des infrastructures déjà disponibles. La motivation principale de cette thèse est d'augmenter le débit et la robustesse des systèmes CPL à porteuses multiples afin qu'ils puissent être utilisés efficacement dans les réseaux domestiques et pour la domotique. Le thème de ce travail de recherche est d'explorer différentes approches de modulation et de codage de canal en liaison avec plusieurs schémas d'allocation et d'optimisation des ressources. L'objectif est ici d'améliorer les capacités des CPL et d'être concurrent face aux autres solutions de communication à haut débit et de faire face efficacement aux inconvénients inhérents au réseau d'alimentation. Un certain nombre de stratégies d'allocation des ressources et d'optimisation sont étudiées pour améliorer les performances globales des systèmes CPL. La performance d'un système de communication est généralement mesurée en termes de débit, de marge de bruit et de taux d'erreur binaire (TEB) de la liaison. La maximisation de débit (RM) est étudiée pour les systèmes OFDM (en anglais orthogonal frequency division multiplexing) et LP-OFDM (en anglais linear precoded OFDM) sous la contrainte de densité spectrale de puissance (DSP). Deux contraintes différentes de taux d'erreur ont été appliquées au problème RM. La première contrainte est la contrainte de TEB crête où toutes les sous-porteuses ou séquences de précodage doivent respecter le TEB cible. Avec la deuxième contrainte, contrainte de TEB moyen, différentes sous-porteuses ou séquences de précodage sont affectées par des valeurs différentes de TEB et une contrainte de TEB moyen est imposée sur le symbole complet OFDM ou LP-OFDM. Les algorithmes d'allocation sont également proposés en prenant en compte les gains de codage de canal dans le processus d'allocation des ressources. En outre, un nouveau schéma de minimisation de TEB moyen est introduit qui minimise le TEB moyen de systèmes pour un débit donné et un masque imposé de DSP. Pour l'allocation des ressources dans un système à porteuses multiples, il est généralement supposé que l'état du canal (CSI) est parfaitement connu par l'émetteur. En réalité, les informations de CSI disponibles au point d'émission sont imparfaites. Aussi, nous avons également étudié des schémas d'allocation des ressources dans le cas de systèmes OFDM et LP-OFDM en prenant compte, et de manière efficace, les impacts des estimations bruitées. Plusieurs chaînes de communication sont aussi développées pour les systèmes OFDM et LP-OFDM. [SPI:OTHER] Engineering Sciences/Other resource allocation linear precoded OFDM power line communication channel coding imperfect channel state information multidimensional TCM bit rate maximization mean BER minimization optimization bit loading algorithms
144	Performance evaluation and protocol design of fixed-rate and rateless coded relaying networks Nikjah, Reza 06 1900 (has links) The importance of cooperative relaying communication in substituting for, or complementing, multiantenna systems is described, and a brief literature review is presented. Amplify-and-forward (AF) and decode-and-forward (DF) relaying are investigated and compared for a dual-hop relay channel. The optimal strategy, source and relay optimal power allocation, and maximum cooperative gain are determined for the relay channel. It is shown that while DF relaying is preferable to AF relaying for strong source-relay links, AF relaying leads to more gain for strong source-destination or relay-destination links. Superimposed and selection AF relaying are investigated for multirelay, dual-hop relaying. Selection AF relaying is shown to be globally strictly outage suboptimal. A necessary condition for the selection AF outage optimality, and an upper bound on the probability of this optimality are obtained. A near-optimal power allocation scheme is derived for superimposed AF relaying. The maximum instantaneous rates, outage probabilities, and average capacities of multirelay, dual-hop relaying schemes are obtained for superimposed, selection, and orthogonal DF relaying, each with parallel channel cooperation (PCC) or repetition-based cooperation (RC). It is observed that the PCC over RC gain can be as much as 4 dB for the outage probabilities and 8.5 dB for the average capacities. Increasing the number of relays deteriorates the capacity performance of orthogonal relaying, but improves the performances of the other schemes. The application of rateless codes to DF relaying networks is studied by investigating three single-relay protocols, one of which is new, and three novel, low complexity multirelay protocols for dual-hop networks. The maximum rate and minimum energy per bit and per symbol are derived for the single-relay protocols under a peak power and an average power constraint. The long-term average rate and energy per bit, and relay-to-source usage ratio (RSUR), a new performance measure, are evaluated for the single-relay and multirelay protocols. The new single-relay protocol is the most energy efficient single-relay scheme in most cases. All the multirelay protocols exhibit near-optimal rate performances, but are vastly different in the RSUR. Several future research directions for fixed-rate and rateless coded cooperative systems, and frameworks for comparing these systems, are suggested. / Communications acknowledgment signals amplify-and-forward relaying average capacity average power constraint bit error rate cooperative gain cooperative communication decode-and-forward relaying degree of freedom direct transmission distributed space-time coding dual-hop relaying energy efficiency energy per bit energy per symbol feedback communication fixed-rate coded relaying fixed-rate codes fixed-rate coding large SNR approximation maximal ratio combining maximum achievable rates maximum likelihood multiple access channels mutual information nonconcave fractional programming numerical optimization optimal power allocation orthogonal relaying outage optimality outage probability parallel channel coding peak power constraint power allocation schemes power fairness protocol design rateless coded relaying rateless codes rate efficiency rateless coding Rayleigh fading relay-to-source usage ratio relaying networks repetition coding selection relaying single-hop communication superimposed relaying symbol error rate
145	Performance evaluation and protocol design of fixed-rate and rateless coded relaying networks Nikjah, Reza Unknown Date No description available. acknowledgment signals amplify-and-forward relaying average capacity average power constraint bit error rate cooperative gain cooperative communication decode-and-forward relaying degree of freedom direct transmission distributed space-time coding dual-hop relaying energy efficiency energy per bit energy per symbol feedback communication fixed-rate coded relaying fixed-rate codes fixed-rate coding large SNR approximation maximal ratio combining maximum achievable rates maximum likelihood multiple access channels mutual information nonconcave fractional programming numerical optimization optimal power allocation orthogonal relaying outage optimality outage probability parallel channel coding peak power constraint power allocation schemes power fairness protocol design rateless coded relaying rateless codes rate efficiency rateless coding Rayleigh fading relay-to-source usage ratio relaying networks repetition coding selection relaying single-hop communication superimposed relaying symbol error rate

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