Max-gain relay selection scheme for wireless networks

Shafqat Ullah, Mazhar Hussain Malik, Mehmet Fatih Tuysuz, Muhammad Hasnain, Mehmet Emin Aydin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
31 Downloads (Pure)

Abstract

Next generation wireless systems are supposed to handle high amount of data with broader coverage and high quality of service (QoS). When a signal travels from a source to destination, the signal quality may suffer from the fading, which makes it difficult to receive correct messages. To handle the impact of fading, various diversity techniques are performed with Multiple Input Multiple Output (MIMO). Considering cooperative wireless networks, virtual MIMOs are being used, which also called cooperative diversity. In this paper, we propose a max-gain relay selection scheme (MGRS) for buffer-aided wireless cooperative networks. This scheme determines the best link using the maximum gain based on quality of link and available buffer size. The time slot is divided into two parts, one is used to choose the best link from the source to relay transmission (odd slot) and another time slot (even) is used based on the selection of the best link from the relay to destination. Markov chain model is use to measure buffer status and QoS parameters to evaluate the performance. The proposed scheme provides better QoS (12%) compared to the existing relay selection schemes with respect to throughput, end-to-end delay and outage probability.
Original languageEnglish
Pages (from-to)183-191
Number of pages9
JournalEngineering Science and Technology, an International Journal
Volume24
Issue number1
Early online date26 Sept 2020
DOIs
Publication statusPublished - 1 Feb 2021

Keywords

  • Channel model
  • Markov Chain
  • Max-gain relay selection
  • Multiple input multiple output
  • Signal to Noise Ratio (SNR)

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