Mode selection for energy efficient D2D communications in dynamic TDD systems

Network-assisted Device-to-Device (D2D) communicationis a promising technology for improving the performanceof proximity-based services. This paper demonstrates how D2Dcommunication can be used to improve the energy-efficiencyof cellular networks, leading to a greener system operationand a prolonged battery life of the mobile devices. Assuminga flexible TDD system, we develop optimal mode selectionpolicies for minimizing the energy cost (either from the systemor from the device perspective) while guaranteeing a certainrate requirement. The jointly optimal transmit power and timeallocation, as well as the optimal mode selection, is found bysolving a small convex optimization problem. Special attentionis given to the geometrical interpretation of the obtained results.We show that when network energy is the primary concern, D2Dmode is preferable in a large portion of the cell. When the deviceenergy consumption is most important, on the other hand, thearea where D2D mode is preferable shrinks and becomes close tocircular. Finally, we investigate how network parameters affectthe range where direct communication is preferred.QC 20150911</p

Downlink massive full dimension-multiple input multiple output downlink beamforming analysis at 3.5 GHz using coordinated ON-OFF switching

The long-term evolution and advancement (LTE-A) of the 5G wireless network depends critically on energy consumption. Many existing solutions focus on limiting power constraints and consequently system coverage. So, improving the antenna array elements of the base station (BS) can solve this issue. In this paper, introduce a coordinated ON-OFF switching method in the massive full dimensional multiple input multiple output (massive-FD-MIMO) system. It enhances the radiation pattern of the antenna array element by adjusting the angular power spectra at the BS. By the way, it allows to select the minimum number of antennas for effective beamforming toward specific user equipment’s (UEs). In this context, part of antenna element should be active mode and remining should be sleep mode at the time of signal beamforming. The multipath spatial profiles are decided the beamforming frequency band with minimize energy consumption. As part of the method, we used a conjugated beamforming with power optimization scheme to determine the individual antenna potential and fading channel condition, power optimization is performed. This method quality of service, reliability, energy consumption and data rate can all be evaluated by experimenting with different-sized antenna arrays such as 16×16, 32×32, 64×64 and 128×128

Energy efficient D2D communications in dynamic TDD systems

Device-to-Device (D2D) communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of D2D communication in cellular systems operating under dynamic Time Division Duplex (TDD) can improve energy efficiency. We perform joint optimization of mode selection, uplink/downlink transmission period, and power allocation to minimize the transmission energy consumption while satisfying a traffic requirement. Solutions are developed for two scenarios: with and without interference among D2D communications. Both formulations are expressed as mixed-integer nonlinear programming problems, which are NP hardin general. We exploit problem structure to develop efficient solutions for both scenarios. For the interference-free case, we develop algorithms that find the optimal solution in polynomial time. When considering interference, we propose a customized solver based on branch-and-bound that reduces the search complexity by taking advantage of the problem-specific proprieties. We complement this solver by a more practical heuristic algorithm. Simulation results demonstrate that D2D communications in dynamic TDD systems can yield significant energy savings and improved spectral efficiency compared to traditional cellular communication. Furthermore, we give analytical characterizations of the receiver locations relative to a given transmitter where D2D communication is optimal. These regions can be surprisingly large and not necessarily circular.QC 20161019</p