• DocumentCode
    3729351
  • Title

    Performance evaluation of cooperative relay assisted transmission models in LTE system

  • Author

    Patteti Krishna;Kalitkar Kishan Rao;Tipparti Anil Kumar

  • Author_Institution
    Department of Electronics & Communication Engineering, SVS Group of Institutions, Warangal, India
  • fYear
    2015
  • Firstpage
    1184
  • Lastpage
    1188
  • Abstract
    The User Equipments (UE) nowadays are able to provide various internet applications and services that raise the demand for high speed data transfer and Quality of Service (QoS). Accordingly, next generation mobile communication systems driven by these demands are expected to provide higher data rates and better link quality compared to the existing systems. Orthogonal Frequency Division Multiple Access (OFDMA) and Single Carrier Frequency Division Multiple Access (SC-FDMA) are strong multiple access candidates for the uplink of the International Mobile Telecommunications-Advanced (IMT-Advanced). These multiple access techniques in combination with other promising technologies such as multi-hops transmission and Multiple-Input-Multiple-Output (MIMO) will be utilized to reach the targeted IMT-Advanced system performance. In this paper, OFDMA and SC-FDMA are adopted for the downlink and uplink transmission of Long Term Evolution (LTE). Two transmission scenarios are considered, namely the single hop transmission and the relay assisted transmission (two hops). In addition, a hybrid multiple access technique that combines the advantages of OFDMA and SC-FDMA in term of low Peak-to-Average Power Ratio (PAPR) and better link performance in terms of Symbol Error Rate (SER) has been proposed in relay assisted transmission scenario. Simulation results show that the obtained results from the relay-assisted transmission (two hops) are better than those obtained from the direct transmission (one hop) for all the studied scenarios.
  • Keywords
    "Relays","Mobile communication","Performance gain","Long Term Evolution","Yttrium","Uplink","Downlink"
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICGCIoT.2015.7380642
  • Filename
    7380642