Faculty of Engineering

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4203

Browse

Filters

2024 - 20252

Advanced Search

Filter by

Settings

Subject: search.filters.subject.OFDM

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationOpen Access
    Channel Estimation of full-duplex relay-assisted RSMA-OFDM based wireless networks
    (Frontiers Media SA, 2025-10-03) Chaudhary, U; Rajkumar, S; Jayakody, D. N.K
    This paper analyzes the channel estimation of rate splitting multiple access (RSMA) wireless network through the full-duplex amplify-and-forward (AF) relay. Basically, full-duplex transmission can improve temporal efficiency, however the loop interference is an unavoidable problem that occurs in the strong user of this proposed network. The orthogonal frequency division multiplexing (OFDM) system is used to provide high data rate communication, assuming the presence of phase noise (PN) in local oscillators. Using the least square (LS) estimate, the channel coefficients of the proposed RSMA relay network are estimated. In addition, convex optimization techniques are applied to estimate the phase noise components of this network. The problem is formulated by optimizing phase noise under transmit power constraints. We analyze the Bit Error Rate (BER) performance of the proposed network under binary phase shift keying (BPSK) modulation and 16-quadrature amplitude modulation (QAM). Simulation results demonstrate that channel estimation achieves better performance after the PN compensation
  • Thumbnail Image
    PublicationEmbargo
    OTFS modulated massive MIMO with 5G NR LDPC coding: Trends, challenges and future directions
    (Elsevier, 2024-12) Jayakody, D N K; Yang, F; Ullah, W
    This paper investigates the performance of coded massive multiple-input multiple-output (MIMO) systems utilizing Orthogonal Time Frequency and Space modulation (OTFS). Our innovative approach harnesses the power of OTFS modulation, a cutting-edge modulation technique renowned for its capacity to mitigate the detrimental effects of time-varying channels. Additionally, we introduce a comprehensive system model that incorporates the pivotal elements of channel coding and decoding The system model incorporates channel coding and decoding to improve the bit error rate and enhance the overall performance. The numerical results show that the proposed scheme outperforms existing techniques in terms of BER and spectral efficiency, especially in high-mobility scenarios. The proposed system demonstrates significant robustness against channel estimation errors and Doppler spread. This indicates that coded massive MIMO employing OTFS modulation offers a highly effective solution for future wireless communication systems. The findings highlight the potential of this approach to enhance the reliability and performance of next-generation networks.