Performance analysis on MIMO-OFCDM systems with multi-code transmission

Abstract

This letter proposes an analytical approach to evaluate the performance of MIMO-OFCDM systems [1] with multicode transmission. Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the error events on multiple code channels are correlated to each other, which make the performance evaluation difficult due to the involvement of a complicated multivariate probability. By approximating the multivariate probability by a series of two-variate probabilities, the proposed analytical approach takes the correlation into account and provides accurate performance estimations. The analytical results are verified by simulations and shown to be more accurate than those where no correlation is considered.

Fifth Generation promising integrated full loaded MIMO space‐time spreading‐aided‐orthogonal frequency code division multiple access system

“…The integration implemented by the proposed system does not only attain the maximum capacity but also achieves BER performance improvement compared to the systems discussed in [24,25] which will be emphasised throughout the simulation results.…”

“…In Fig. 9, the performance of the proposed system is compared against the systems in [24,25]. At the 0th loop, it outperforms the STS (8Tx, 4Rx) with ∼4 dB at BER of 10 −4 .…”

“…In [23], transmission power was optimised for a convolutional coded MIMO-OFCDMA system using singlecode transmission to resolve the near-far problem. Also, a joint iterative detection and optimal power allocation algorithm for MIMO-OFCDMA was presented in [24], while in [25], an analytical study was carried out on the un-coded MIMO-OFCDMA with zero-forcing successive interference cancellation (ZF-SIC) and imperfect channel estimation. Finally, a survey of SIC for OFDM systems was introduced in [26].…”

“…In addition to this data rate improvement, a further BER improvement was achieved through introducing an iterative interference cancellation (IIC) combined with MCI suppression algorithm at the receiver. The performance of the proposed FL-STS-aided-OFCDMA-IIC system is compared with similar systems that use the same number of receive antennas in [24,25] in order to focus on the significant contribution made to both BER and data rate. Furthermore, the proposed system is also compared with similar systems studied in [12,32].…”

A Novel Approach to Enhance the Physical Layer Channel Security of Wireless Cooperative Vehicular Communication Using Decode‐and‐Forward Best Relaying Selection

“…VANETs physical layer designs need to cope with tremendous security challenges. However, the conventional physical layer security technique depends mainly on the replication for reliability and encryption for security [1][2][3][4][5][6]. Antenna diversity is used to address the aforementioned challenges by enhancing signal quality, such as MIMO and cooperative diversity using replication.…”