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Dive into the research topics where Rao Sanyasi Yenamandra is active.

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Featured researches published by Rao Sanyasi Yenamandra.


vehicular technology conference | 2015

UE-Based Adaptive Uplink Power Control to Enhance Cell Capacity of LTE Systems

Jose Edson Vargas Bautista; Mehrzad Malmirchegini; Rao Sanyasi Yenamandra; Kausik Ray Chaudhuri

We consider the uplink open-loop power control (OLPC) procedure in Long Term Evolution (LTE) cellular networks. We propose a UE based adaptive OLPC approach where a UE selectively, and autonomously, applies predetermined offsets to the standardized open-loop power control parameters such as PO_UE_PUSCH and α as a function of its relative location. The proposed approach increases overall uplink signal to interference and noise ratio (UL SINR) at eNodeBs. As a result, UL cell throughput improves with no additional over the air signaling or extra processing load at eNodeBs. Our simulation results show that the UE-based adaptive OLPC approach significantly increases the center-cell UEs throughput at the expense of a slight, and controllable, throughput degradation of the UEs at the cell-edge.


vehicular technology conference | 2015

Distributed and Adaptive Optimization of LTE-TDD Configuration Based on UE Traffic Type

Mehrzad Malmirchegini; Rao Sanyasi Yenamandra; Kausik Ray Chaudhuri; Jose Edson Vargas Bautista

Interference mitigation is one of the main challenges in LTE TDD networks, which requires that all cells in the network follow the same TDD UL/DL configuration. However, different UEs in the network may have different UL or DL traffic types, which may also vary with time; as a result, different cells may require different TDD UL/DL configurations in time. In this paper, we consider an LTE network, where each eNodeB in the network has backhaul links, i.e. X2 interfaces, only with its immediate neighboring eNodeBs. We investigate an adaptive optimization of TDD UL/DL configuration index in mean square error (MSE) sense based on the available UL and DL traffic of all RRC connected UEs in different cells within the network. We then propose a distributed algorithm, where all eNodeBs in the network will reach consensus on the optimum TDD UL/DL configuration through local communications with their neighboring eNodeBs over X2 interfaces. Our simulation results show that the LTE network, which is running the proposed algorithm, provides the better utilization of the available frequency-time resources and achieves a higher UE Throughput compared to a fixed TDD UL/DL configuration.


Archive | 2013

Selective communication based on distance from a plurality of electric vehicle wireless charging stations in a facility

Manish Tripathi; Naidu S. Mullaguru; Rao Sanyasi Yenamandra; Rajasekar Arulprakasam


Archive | 2013

Electric vehicle wireless charging with monitoring of duration of charging operational mode

Manish Tripathi; Rao Sanyasi Yenamandra


Archive | 2013

Systems, methods, and apparatus related to electric vehicle parking and wireless charging

Manish Tripathi; Rao Sanyasi Yenamandra; Naidu S. Mullaguru; Edward Van Boheemen


Archive | 2014

Volte call setup

Mutaz Zuhier Afif Shukair; Mouaffac Ambriss; Rao Sanyasi Yenamandra


Archive | 2014

Ev route optimization through crowdsourcing

Rao Sanyasi Yenamandra; Naveen Kalla


Archive | 2013

Coherent tracking area in multi-mode communication systems

Mohamed A. El-Saidny; Rao Sanyasi Yenamandra


Archive | 2015

INTERFERENCE-AWARE FREQUENCY SELECTION FOR SMALL CELLS IN WIRELESS NETWORKS

Mehrzad Malmirchegini; Kausik Ray Chaudhuri; Rao Sanyasi Yenamandra


Archive | 2015

SMALL CELL CHANNEL SELECTION

Kausik Ray Chaudhuri; Rao Sanyasi Yenamandra

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