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The second generation (2G) cellular networks are the current workhorse formachine-to-machine (M2M) communications. Diversity in 2G devices can be presentboth in form of multiple receive branches and blind repetitions. In presence ofdiversity, intersymbol interference (ISI) equalization and co-channelinterference (CCI) suppression are usually very complex. In this paper, weconsider the improvements for 2G devices with receive diversity. We derive alow-complexity receiver based on a channel shortening filter, which allows tosum up all diversity branches to a single stream after filtering while keepingthe full diversity gain. The summed up stream is subsequently processed by asingle stream Max-log-MAP (MLM) equalizer. The channel shortening filter isdesigned to maximize the mutual information lower bound (MILB) with theUngerboeck detection model. Its filter coefficients can be obtained mainly bymeans of discrete-Fourier transforms (DFTs). Compared with the state-of-arthomomorphic (HOM) filtering based channel shortener which cooperates with adelayed-decision feedback MLM (DDF-MLM) equalizer, the proposed MILB channelshortener has superior performance. Moreover, the equalization complexity, interms of real-valued multiplications, is decreased by a factor that equals thenumber of diversity branches.

A Low-complexity Channel Shortening Receiver with Diversity Support for Evolved 2G Device