A Novel Multiuser Detection and Channel Estimation Method for Uplink Communication in MIMO-OFDM IDMA System
Dolly Sharma1, Rabindra Kumar Singh2, Himanshu Katiyar3
1Dolly Sharma, Assistant Professor, Department of EC, BBDEC, Lucknow (U.P), India.
2Dr. Rabindra Kumar Singh, Former Professor, Department of Electronics Engineering, KNIT, Sultanpur (U.P), India.
3Dr. Himanshu Katiyar, Associate Professor, Department of Electronics Engineering, REC, Sonbhadra (U.P), India.
Manuscript received on 10 October 2019 | Revised Manuscript received on 24 October 2019 | Manuscript Published on 26 December 2019 | PP: 934-939 | Volume-8 Issue-12S October 2019 | Retrieval Number: L121010812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1210.10812S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Demand of wireless cellular communication systems has grown rapidly which necessitates high speed and reliable communication for various multimedia applications. Several technologies have been introduced to meet the desired communication requirements such as 1G, 2G, 3G and 4G but these techniques suffer from multiple-access and interference issues. Hence in this work, we focus on these challenges to improve the cellular communication performance. The main objective of this work is to develop a novel approach for multiuser detection and introducing a new architecture of channel estimation. However, several techniques are present to achieve these objectives but computational complexity and reliable performance still remains an issue. Moreover, interference remains a challenging task. Hence, in order to overcome these issues, we present a joint approach of multiuser detection where we compute the LLRs, find the Gaussian distribution and measure the mean and variance of this distribution. Similarly, in next phase, channel estimation is performed with the help of ESE and DEC. The performance of proposed approach is measured in terms of BER for varied simulation configurations. The experimental analysis reported significant improvement in the performance of MIMO-OFDM IDMA system.
Keywords: Communication System Method Performance Applications Analysis.
Scope of the Article: Wireless Communications