| Title |
Space Division Multiple Access Base Station (SDMA) Based on Block Adaptive Euclidean Direction Search Algorithm |
| Authors |
(Vian S. AL-Doori) ; (Thamer M. Jamel) ; (Bashar M. Mansoor) |
| DOI |
https://doi.org/10.5573/IEIESPC.2022.11.2.133 |
| Keywords |
Block least mean square (BLMS); Speedy euclidian direction search (SEDS); Space division multiple access (SDMA); Single cell MISO downlink channels |
| Abstract |
An impulse response is present in long-length wireless communication channels in communication systems such as massive MIMO or 5G systems that use block coding, such as Low-Density Parity-Check (LDPC) code. To deal with it, it is favorable to use block adaptive filtering instead of sequential or traditional algorithms. In this study, a block adaptive algorithm called the Speedy Euclidean Direction Search (SEDS) algorithm is proposed for a Space Division Multiple Access Base Station (SDMA) to perform adaptive beamforming operation of the system. An investigation and analysis of the performance of the SEDS algorithm were conducted using SDMA with a Multiple Input Single Output (MISO) downlink scheme that uses block processing of the data samples for a single-cell downlink. Moreover, a novel and fair comparative study was carried out between SEDS and the Block adaptive Least Mean Square (BLMS) algorithm. As far as we know, no research has used the BLMS algorithm for the SDMA system, which is another contribution of this study. The simulation results demonstrate that the SEDS algorithm has fast convergence and a very accurate estimation compared with BLMS. Moreover, the SEDS algorithm has better performance in indoor environments compared with BLMS. On the other hand, SEDS starts to be unstable for a large value of block length (L), whereas BLMS stays stable especially for outdoor environments. |