IEEE Region 5

Come Join us for a tour of the James W. Trimble Lock and Dam in Barling, AR! [] James W. Trimble Lock and Dam Information The dam, which is on the Arkansas River, was primarily built for Navigation purposes, but also serves for Recreation and Hydroelectric benefits. The dam was designed by CESWL and commissioned in 1969 and is currently owned by USACE – Little Rock District. The James W. Trimble Lock and Dam is approximately 7,110 feet (2,167 m) long, 28 feet (9 m) high and has a structural volume of 156,000 cubic yards (119,271 cubic metres). The reservoir has a normal storage capacity of 53,100 acre-ft (65,498 Ml) and maximum capacity of 59,100 acre-ft (72,899 Ml). The surface area of the reservoir is 6,820 acres (2,760 ha) and the total catchment area is 150,567 square miles (389,967 square kilometres). *https://damsoftheworld.com/usa/arkansas/james-w.-trimble-lock-and-dam/ 1700 Lock And Dam Rd, Barling, Arkansas, United States, 72923

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