標題: Sparsity Enhanced Mismatch Model for Robust Intercell Interference Management in Heterogeneous Networks With Doubly-Selective Fading Channels
作者: Chang, Chieh-Yao
Fung, Carrson C.
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Dense wireless networks;interference channel;transceiver design;imperfect channels;BEM
公開日期: 1-Jul-2015
摘要: Transmission over doubly-selective fading (DSF) interference channel often relies on the use of robust precoder due to a lack of accurate channel state information, with performance often depending on the conservativeness of the mismatch model. Previously proposed mismatch models either have been deemed too conservative (deterministic models) or are prone to error due to inaccuracy in the probability density function (pdf) and corresponding parameters (stochastic models). A deterministic mismatch model called Sparsity Enhanced Mismatch Model-Reverse discrete prolate spheroidal sequence, or SEMMR, is proposed herein in an attempt to alleviate this problem. Different from all previously deterministic models, the proposed model exploits the inherent sparse characteristics of DSF interference channels which lead to a two-stage robust transceiver design that outperforms precoding only strategy incorporating conventional norm ball mismatch model (NBMM). The inherent sparsity in the channel is brought forth by modeling the channel using a basis expansion model (BEM) where discrete prolate spheroidal sequence (DPSS) is used as a basis. Analytical and simulation results are provided to validate the performance gains of the SEMMR transceiver over the NBMM precoder.
URI: http://dx.doi.org/10.1109/TCOMM.2015.2427160
http://hdl.handle.net/11536/128056
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2015.2427160
期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
Volume: 63
起始頁: 2671
結束頁: 2684
Appears in Collections:Articles