Week of Events
Energy- and Spectral-Efficient Resource Allocation Algorithm for Heterogeneous Networks
Energy- and Spectral-Efficient Resource Allocation Algorithm for Heterogeneous Networks
In this talk, the tradeoff between energy efficiency and spectral efficiency in multicell heterogeneous networks is investigated. Our objective is to maximize both energy efficiency and spectral efficiency of the network, while satisfying the minimum rate requirements of the users. We define our objective function as the weighted summation of energy efficiency and spectral efficiency functions. The fractional frequency reuse (FFR) scheme is employed to suppress intercell interference. We formulate the problem as cell-center boundary selection for FFR, frequency assignment to users, and power allocation. The optimal solution to this problem requires exhaustive search over all cell-center radii, frequency assignments, and power levels. We propose a three-stage algorithm and apply it consecutively until convergence. First, we select the cell-center radius for the FFR method. Second, we assign the frequency resources to users to satisfy their rate requirements and maximize the objective function. Third, we solve the power allocation subproblem by using the Levenberg-Marquardt method. Minimum rate requirements of users are also included in the solution by using dual decomposition techniques. Our numerical results show a Pareto-optimal solution for energy efficiency and spectral efficiency. We present energy efficiency, spectral efficiency, outage probability, and average transmit power results for different minimum rate constraints. Among other results, we show that, in a particular setting, 13% energy efficiency increase can be obtained in a multicell heterogeneous wireless network by sacrificing 7% spectral efficiency. Speaker(s): Ender Ayanoglu , Virtual: https://events.vtools.ieee.org/m/466455
IEEE Hawaii YP March ExCom
IEEE Hawaii YP March ExCom
March Excom Room: Suite 2000, 733 Bishop Street, Honolulu, Hawaii, United States, Virtual: https://events.vtools.ieee.org/m/468371
IEEE HAWAII EDS/SSCS CHAPTER SEMINAR ON 3-12-25 AT 6:30PM HOLMES-244 BY PROF SANYAL, ARIZONA STATE UNIVERSITY
IEEE HAWAII EDS/SSCS CHAPTER SEMINAR ON 3-12-25 AT 6:30PM HOLMES-244 BY PROF SANYAL, ARIZONA STATE UNIVERSITY
Professor Arindam Sanyal from Arizona State University will give a seminar talk on "Machine Learning Techniques for Health Management and Enhancing Circuit Performance" on Wednesday Mar 12th at 6:30PM. RSVP for food and beverage head count. Room: 244, Bldg: Holmes Hall, 2540 Dole St, Honolulu, Hawaii, United States, 96822