HARQ Buffer Management: An Information-Theoretic View
Wonju Lee, Osvaldo Simeone, Joonhyuk Kang, Sundeep Rangan, Petar, Popovski

TL;DR
This paper explores HARQ buffer management in wireless communications using information-theoretic methods, analyzing different schemes and compression strategies to optimize throughput under buffer constraints.
Contribution
It introduces an information-theoretic framework for HARQ buffer management, evaluating standard and advanced schemes with optimized compression and coding strategies.
Findings
Layered modulation and optimized coding improve throughput.
Transform coding is optimal for baseband compression in MIMO links.
Buffer-aware transmission schemes outperform traditional methods.
Abstract
A key practical constraint on the design of Hybrid automatic repeat request (HARQ) schemes is the size of the on-chip buffer that is available at the receiver to store previously received packets. In fact, in modern wireless standards such as LTE and LTE-A, the HARQ buffer size is one of the main drivers of the modem area and power consumption. This has recently highlighted the importance of HARQ buffer management, that is, of the use of buffer-aware transmission schemes and of advanced compression policies for the storage of received data. This work investigates HARQ buffer management by leveraging information-theoretic achievability arguments based on random coding. Specifically, standard HARQ schemes, namely Type-I, Chase Combining and Incremental Redundancy, are first studied under the assumption of a finite-capacity HARQ buffer by considering both coded modulation, via Gaussian…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
