標題: Sparsity Enhanced Mismatch Model for Robust Spatial Intercell Interference Cancelation in Heterogeneous Networks
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: Intercell interference cancelation (ICIC);heterogeneous networks;precoder;imperfect channels;BEM
公開日期: 1-一月-2015
摘要: Performance of precoder-based spatial intercell interference cancelation in heterogeneous networks is often hampered due to lack of accurate channel state information. Performance can be augmented by modifying the design of the precoder to incorporate the channel estimate mismatch by using deterministic and probabilistic mismatch models. Previously proposed models either have been deemed too conservative (deterministic) or are prone to error due to inaccuracy in the probability distribution function and corresponding parameters (stochastic). A new deterministic mismatch model is proposed herein in an attempt to alleviate these problems. Different from all previously proposed deterministicmodels, the proposedmodel, called sparsity enhanced mismatch model (SEMM), exploits the inherent sparse characteristics of MIMO interference channels. The SEMM has two variants, i.e., SEMM (angular) and SEMM (eigenmode). The SEMM incorporates a basis expansion model to bring forth the inherent sparsity, which exists in MIMO interference channels. In the context of precoder design for heterogeneous network, it is analytically shown, and by simulation, the proposed mismatch models enable the aggressor-transmitter (A-Tx) to allocate more transmission power to the sparse elements of the interfering link so that performance in the communicating link is enhanced compared with conventional norm ball mismatch model.
URI: http://dx.doi.org/10.1109/TCOMM.2014.2369037
http://hdl.handle.net/11536/124228
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2014.2369037
期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
Volume: 63
起始頁: 125
結束頁: 139
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