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  • Undergraduate Poster Abstracts
  • Electrical/Electronics/Communications Engineering

    Room Chesapeake 10

    ap053 NON-ORTHOGONAL MULTIPLE ACCESS: OPTIMUM POWER ALLOTMENT FOR WIRELESS CHANNEL CAPACITY IMPROVEMENT IN 5G CELLULAR SYSTEMS

    • Jose Armando Oviedo ;
    • Hamid Sadjadpour ;

    n/a

    NON-ORTHOGONAL MULTIPLE ACCESS: OPTIMUM POWER ALLOTMENT FOR WIRELESS CHANNEL CAPACITY IMPROVEMENT IN 5G CELLULAR SYSTEMS

    Jose Armando Oviedo, Hamid Sadjadpour.

    University of California, Santa Cruz, Santa Cruz, CA.

    Efficient use of wireless channels while scheduling more wireless signal transmissions using the same resources is a fundamental problem of the next generation of wireless cellular standard (5G). Non-orthogonal multiple access (NOMA) along with successive interference cancellation (SIC) is a leading candidate for 5G to help accomplish both of these goals. NOMA is an alternative to orthogonal multiple access approaches (OMA), which are commonly used in current wireless standards. For a transmission time period T that is reserved for the signals of 2 scheduled mobile users, OMA systems transmit each signal in either independent time slots or frequency bands. NOMA proposes to use superposition of wireless signals to transmit both signals from the base station simultaneously over the same frequency band, and the mobile user with the greater channel gain will use SIC to remove the interfering signal of the user with the weaker channel gain. The optimum power allotment strategy is derived and provides better information capacity for each user and, hence, is also an improvement of the sum capacity. Given this strategy, the channel capacity is a monotonically increasing function of the channel gains. It is then demonstrated that a third user can be opportunistically scheduled in this same time slot and frequency band simultaneously with the 2 primary users, as long that this user's channel gain is greater than the gain of each primary user. These theoretical results are then further substantiated by simulations.