In 5G wireless communication estimation, of downlink channel with orthogonal frequency division multiplexing (OFDM) integrated with multiple input multiple output (MIMO) is a challenging task. This arises due to the utilization of orthogonal pilots in downlink which leads to pilot overhead. To overcome this challenge spatial-temporal sparsity features with compressive sensing utilized for estimation of channels. However, this leads to the challenge of spatial common sparsity in data transmission due to the overlapping of the antenna group which is not separated. To overcome those challenges, this paper developed a spatial partitioning coalitional game theory (SPCGT) for the MIMO-OFDM downlink channel. The performance of the proposed SPCGT is based on the spectral partitioning of the MIMO antenna array. Within MIMO partitioned antenna game theory is applied for reduction of pilot overhead with improved channel estimation. The proposed SPCGT model is aimed to reduce normalized mean square error (NMSE) and bit error rate (BER) for the estimation of the available channel. The performance of the proposed SPCGT is comparatively examined with the existing techniques in terms of the slow time and fast time varying channels. The NMSE and BER stated that the proposed SPCGT offers reduced NMSE and BER for the MIMO-OFDM system.
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Dhanasekaran, S., Ramesh, J. Channel estimation using spatial partitioning with coalitional game theory (SPCGT) in wireless communication. Wireless Netw (2021). https://doi.org/10.1007/s11276-020-02528-4
- Spatial partitioning coalitional game theory (SPCGT)
- Spatial distribution
- Channel estimation