Abstract
Modern mobile telecommunication systems are using MIMO combined with OFDM, which is known as MIMO-OFDM systems, to provide robustness and higher spectrum efficiency. The major challenge in this scenario is to obtain an accurate channel estimation to detect information symbols, once the receiver must have the channel state information to equalize and process the received signal. Channel estimation is an essential task in MIMO-OFDM systems for coherent demodulation and data detection. Also designing pilot tones that affect the channel estimation performance is an important issue for these systems. For this reason, in this study we propose a Hybrid optimization algorithm (HBFOMCS) based on Bacterial Foraging Optimization (BFO) and Modified Cuckoo Search algorithm (MCS) to optimize placement of the pilot tones that are used for Least Square (LS) channel estimation in MIMO-OFDM systems. Simulation results show that designing pilot tones using the hybrid algorithm outperforms other considered placement strategies in terms of high system performance and low computational complexity.
Highlights
Wireless communication systems require high supporting data rate transmission and quality of service
We evaluate the performance of various pilot tones:
At 30 dB SNR value, while the Mean Square Error (MSE) difference between orthogonal and Hybrid of BFO and MCS algorithm (HBFOMCS) based placement is 10-1, this difference between our proposal and random placement is about 10-2
Summary
Wireless communication systems require high supporting data rate transmission and quality of service. Orthogonal Frequency Division Multiplexing (OFDM) is regarded as a promising solution for supporting these requirements. OFDM is a multicarrier modulation scheme that divides the available bandwidth into a number of orthogonal subcarriers that are modulated independently. High bit rate data transmission can, be provided by using bandwidth efficiently (Nee and Prasad, 2000). Multiple antenna architecture on the transmitter and receiver side, which is called the Multiple-Input Multiple-Output (MIMO) technique, is a suitable choice to improve the capacity of OFDM without additional power or bandwidth consumption (Paulraj et al, 2004). Due to the many advantages of MIMO-OFDM, it has been standardized for various digital communication systems such as Terrestrial Digital Audio Broadcasting (DAB-T), Terrestrial Digital Video Broadcasting (DVB-T), Wireless Local Area Networks (WLANs) and 4G wireless cellular systems
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