A Low-complexity Channel Shortening Receiver with Diversity Support for Evolved 2G Device
Sha Hu, Harald Kroll, Qiuting Huang, and Fredrik Rusek

TL;DR
This paper introduces a low-complexity channel shortening receiver for 2G devices with diversity, improving performance and reducing computational complexity by using a mutual information optimized filter and single-stream processing.
Contribution
It proposes a novel MILB-based channel shortener that simplifies diversity processing in 2G receivers while enhancing performance compared to existing methods.
Findings
Superior performance over homomorphic filtering-based methods
Reduced equalization complexity proportional to the number of diversity branches
Effective diversity gain preservation with single-stream processing
Abstract
The second generation (2G) cellular networks are the current workhorse for machine-to-machine (M2M) communications. Diversity in 2G devices can be present both in form of multiple receive branches and blind repetitions. In presence of diversity, intersymbol interference (ISI) equalization and co-channel interference (CCI) suppression are usually very complex. In this paper, we consider the improvements for 2G devices with receive diversity. We derive a low-complexity receiver based on a channel shortening filter, which allows to sum up all diversity branches to a single stream after filtering while keeping the full diversity gain. The summed up stream is subsequently processed by a single stream Max-log-MAP (MLM) equalizer. The channel shortening filter is designed to maximize the mutual information lower bound (MILB) with the Ungerboeck detection model. Its filter coefficients can be…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced Power Amplifier Design · PAPR reduction in OFDM
