Paper Info
Title
A Low-Complexity Channel Shortening Receiver With Diversity Support For Evolved 2g Devices
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 cochannel 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 obtained mainly by means of discrete-Fourier transforms (DFTs). Compared with the state-ofart homomorphic (HOM) filtering based channel shortener which cooperates with a delayed-decision feedback MLM (DDF-MLM) equalizer, the proposed MILB channel shortener has superior performance. Moreover, the equalization complexity, in terms of real-valued multiplications, is decreased by a factor that equals the number of diversity branches.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511498
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
DocType
Volume
ISSN
Conference
abs/1511.07702
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Sha Hu11969.71
Harald Kroll2175.08
Qiuting Huang3399145.90
Fredrik Rusek42417144.66