In this thesis, we consider error-correction codes for systems which have burst erasure channels, but where the packet delay is constrained. The packet delay itself is the time di erence between the arrival of a source packet at the encoder and the reconstruction of that source packet at the decoder. While such a framework was introduced by Martinian (2004) and his co-authors, several problems remain open. We make three contributions in this thesis. First we develop a rigorous converse proof for the point-to-point case and thus complete the result of Martinian (2004). Our proof technique is also applied to a multicast channel model and new results are obtained. Secondly we study the case when there are multiple parallel links between the encoder and decoder and obtain the capacity in some special cases. Finally we study a setup when there are multiple source streams, each with a di erent delay constraint, and obtain capacity results.

In this thesis, we consider error-correction codes for systems which have burst erasure channels, but where the packet delay is constrained. The packet delay itself is the time di erence between the arrival of a source packet at the encoder and the reconstruction of that source packet at the decoder. While such a framework was introduced by Martinian (2004) and his co-authors, several problems remain open. We make three contributions in this thesis. First we develop a rigorous converse proof for the point-to-point case and thus complete the result of Martinian (2004). Our proof technique is also applied to a multicast channel model and new results are obtained. Secondly we study the case when there are multiple parallel links between the encoder and decoder and obtain the capacity in some special cases. Finally we study a setup when there are multiple source streams, each with a di erent delay constraint, and obtain capacity results.

<p dir="ltr"> The general design goal of low latency communication systems is to minimize the end-to-end delay while attaining the predefined reliability and throughput requirements. The burgeoning demand for low latency communications motivates a renewed research interest of the tradeoff between delay, throughput, and reliability. In this dissertation research, we consider slotted-based systems and explore the potential advantages of the so-called sequential codes in low latency network communications.</p><p dir="ltr"> The first part of this dissertation analyzes the exact error probability of random linear streaming codes (RLSCs) in the large field size regime over the stochastic independently and identically distributed (i.i.d.) symbol erasure channels (SECs). A closed-form expression of the error probability <i>p</i>_<em>e</em> of large-field-size RLSCs is derived under, simultaneously, the finite memory length α and decoding deadline Δ constraints. The result is then used to examine the intricate tradeoff between memory length (complexity), decoding deadline (delay), code rate (throughput), and error probability (reliability). Numerical evaluation shows that under the same code rate and error probability requirements, the end-to-end delay of RLSCs is 40-48% of that of the optimal block codes (i.e., MDS codes). This implies that switching from block codes to streaming codes not only eliminates the queueing delay completely (which accounts for the initial 50% of the delay reduction) but also improves the reliability (which accounts for the additional 2-10% delay reduction).</p><p dir="ltr"> The second part of this dissertation focuses on the asymptotics of the error probability of RLSCs in the same system model of the first part. Two important scenarios are analyzed: (i) tradeoff between Δ and <i>p</i>_<em>e</em> under infinite α; and (ii) tradeoff between α and <i>p</i>_<em>e</em> under infinite Δ. In the first scenario, the asymptote of <i>p</i>_<em>e</em>(Δ) is shown to be <i>ρ</i>Δ^-1.5<i>e</i>^-^<em>η</em>^Δ. The asymptotic power term Δ^-1.5 of RLSCs is a strict improvement over the Δ^-0.5 term of random linear block codes. A pair of upper and lower bound on the asymptotic constant <i>ρ</i> is also derived, which are tight (i.e., identical) for one specific class of SECs. In the second scenario, a refine approximation is proposed by computing the parameters in a multiterm asymptotic form, which closely matches the exact error probability even for small memory length (≈ 20). The results of the asymptotics can be further exploited to find the <i>c</i>-optimal memory length <i>α</i>_<em>c</em>^*(Δ), which is defined as the minimal memory length α needed for the resulting <i>p</i>_<em>e</em> to be within a factor of <i>c</i>>1 of the best possible <i>p</i>_<em>e</em>^<em>*</em>_{<em> </em>}for any Δ, an important piece of information for practical implementation.</p><p dir="ltr"> Finally, we characterize the channel dispersions of RLSCs and MDS block codes, respectively. New techniques are developed to quantify the channel dispersion of sequential (non-block-based) coding, the first in the literature. The channel dispersion expressions are then used to compare the levels of error protection between RLSCs and MDS block codes. The results show that if and only if the target error probability <i>p</i>_<em>e</em> is smaller than a threshold (≈ 0.1774), RLSCs offer strictly stronger error protection than MDS block codes, which is on top of the already significant 50% latency savings of RLSCs that eliminate the queueing delay completely.</p>