Single Antenna Interference Cancellation for GSM/VAMOS/EDGE Using <inline-formula> <tex-math notation="TeX">$L_{p}$</tex-math></inline-formula>-Norm Detection and Decoding

Abstract

Different schemes for single antenna interference cancellation (SAIC) in the Global System for Mobile Communications (GSM) have been proposed so far. Most of these schemes work best in synchronous interference environments and are limited to Gaussian minimum-shift keying (GMSK) modulation. In this paper, we propose several modifications of the conventional GSM receiver, which target the harmful effects of asynchronous co-channel interference (ACCI). Based on the observation that the impairment caused by ACCI cannot be modeled as additive Gaussian noise, which was assumed for the derivation of the metric used in state-of-the-art receivers, we propose to model the impairment as Generalized Gaussian noise (GGN). This leads to modifications of the conventional branch metrics of the reduced-state equalizer and the decoder employed at the receiver. Both proposed modifications are applicable to any linear modulation alphabet and do not require any modification of the GSM air interface. Hence, the proposed novel branch metrics are also applicable in Enhanced Data Rates for GSM Evolution (EDGE) systems which employ 8-ary phase-shift keying (8-PSK) modulation and where the SAIC algorithms tailored for GMSK cannot be used. Furthermore, we show that the proposed branch metric modifications also improve the performance of the new Voice Services over Adaptive Multi-user channels on One Slot (VAMOS) extension of GSM in ACCI environments. Based on simulation results, the performance of the proposed schemes is compared with that of an unmodified receiver employing the conventional Gaussian metric. We show that the proposed receivers outperform the unmodified receiver in ACCI environments and discuss the complexity entailed by the proposed branch metric modifications.

Single-channel Demodulation Algorithm for Non-cooperative PCMA Signals Based on Neural Network

“…and are defined as the symbol sequence, where and . The receipt signal can be written as follows (3) If the channel parameters are known, we can combine channel parameters and bit sequence to achieve the reconstruction of PCMA signal.…”

“…According to the positive definite condition of separation, even if multiple terminals receive PCMA signals, the condition of separation can not be satisfied. Therefore, the demodulation of PCMA signals can only be realized by single-channel separation algorithm [3][4][5].…”

Modified Cramer–Rao bound of parameter estimation for single‐channel mixtures of adjacent‐frequency signals

“…Hence, after estimating the parameters in p i ( t ), (1) has the same signal model as the case of single‐channel blind signal separation in [24] or single antenna interference cancellation in [25–27].…”

A novel and integrated architecture for identification and cancellation of noise from GSM signal

“…The researchers have presented various techniques to handle such kinds of problem in the cellular system. The avoidable type noise can be recognized and eliminated by utilizing various and different techniques such as speech processing algorithm, noise filtering and classification technique [7][8][9]. Whereas, unavoidable type noise (signal-fluctuation) can be controlled by bandwidth adjustments technique and signal averaging mechanism.…”