Differential Modulation for Bidirectional Relaying With Analog Network Coding

Sch. of Electron. & Comput. Sci., Peking Univ., Beijing, China
IEEE Transactions on Signal Processing (Impact Factor: 3.2). 08/2010; 58(7):3933 - 3938. DOI: 10.1109/TSP.2010.2046441
Source: IEEE Xplore

ABSTRACT In this correspondence, we propose an analog network coding scheme with differential modulation (ANC-DM) using amplify-and-forward protocol for bidirectional relay networks when neither the source nodes nor the relay knows the channel state information (CSI). The performance of the proposed ANC-DM scheme is analyzed and a simple asymptotic bit error rate (BER) expression is derived. The analytical results are verified through simulations. It is shown that the BER performance of the proposed differential scheme is about 3 dB away from that of the coherent detection scheme. To improve the system performance, the optimum power allocation between the sources and the relay is determined based on the simplified BER. Simulation results indicate that the proposed differential scheme with optimum power allocation yields 1-2 dB performance improvement over an equal power allocation scheme.

Download full-text


Available from: Yonghui Li, Aug 16, 2015
  • Source
    • "The beamforming design requires the channel state information (CSI) of the LR and/or the UR priori. The physical layer security can be used in many application senarios [5] [6] [7], e.g., the two-way relaying [11] [12] [13]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Discriminatory channel estimation (DCE) is a recently developed strategy to enlarge the performance difference between a legitimate receiver (LR) and an unauthorized receiver (UR) in a multiple-input multiple-output (MIMO) wireless system. Specifically, it makes use of properly designed training signals to degrade channel estimation at the UR which in turn limits the UR's eavesdropping capability during data transmission. In this paper, we propose a new two-way training scheme for DCE through exploiting a whitening-rotation (WR) based semiblind method. To characterize the performance of DCE, a closed-form expression of the normalized mean squared error (NMSE) of the channel estimation is derived for both the LR and the UR. Furthermore, the developed analytical results on NMSE are utilized to perform optimal power allocation between the training signal and artificial noise (AN). The advantages of our proposed DCE scheme are two folds: 1) compared to the existing DCE scheme based on the linear minimum mean square error (LMMSE) channel estimator, the proposed scheme adopts a semiblind approach and achieves better DCE performance; 2) the proposed scheme is robust against active eavesdropping with the pilot contamination attack, whereas the existing scheme fails under such an attack.
    IEEE Transactions on Communications 05/2014; 62(7). DOI:10.1109/TCOMM.2014.2326394 · 1.98 Impact Factor
  • Source
    • "Unlike [8] "
  • Source
    • "Then based on the above theorem, a simple differential signal detector is developed to recover the desired signal s(t) at source T 2 . In the later performance analysis section, we assume that h 22 (t) is perfectly cancelled [14], [18]. However, in practice, the estimation error will introduce some performance degradation which depends on estimation accuracy of h 22 (t). "
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we consider general two-way relay networks (TWRNs) with two source and N relay nodes when neither the source nodes nor the relay nodes have access to channel-state information (CSI). A distributed differential space time coding with analog network coding (DDSTC-ANC) scheme is proposed. A simple blind estimation and a differential signal detector are developed to recover the desired signal at each source. The pairwise error probability (PEP) and block error rate (BLER) of the DDSTC-ANC scheme are analyzed. Exact and simplified PEP expressions are derived, which can be used for power allocation between the source and relay nodes. The analytical results are verified through simulations.
    Global Communications Conference (GLOBECOM), 2012 IEEE, Anaheim, CA; 12/2012
Show more