Bheemarjuna Reddy Tamma

TL;DR: The existing small-world models do not consider the real constraints of wireless networks such as the transmission range of LLs, limited radios per mesh router, and limited bandwidth for wireless links, therefore, the proposed C-SWAWN (Constrained Small-World Architecture for Wireless Network) model is proposed.

TL;DR: An application of the Cognitive Networking paradigm to the problem of dynamic channel selection in infrastructured wireless networks is presented, in which a Neural Network-based cognitive engine learns how environmental measurements and the status of the network affect the performance experienced on different channels, and can dynamically select the channel which is expected to yield the best performance for the mobile users.

TL;DR: A class based dynamic priority scheduling algorithm for uplink transmission of M2M and H2H traffic in LTE is proposed and the performance of the algorithm is evaluated by various metrics such as H1H throughput and system throughput and also compared with existing schedulers.

TL;DR: An efficient placement and power control SON (Self organizing Network) algorithm which optimally places Femtos and dynamically adjusts the transmission power of FemtOS based on the occupancy of Macro users in the HIZone is designed.

TL;DR: This work suggests packet-level media-dependent adaptive forward error correction at the application layer in tandem with multipath transport for improving the voice quality and achieves significant gains in terms of reduced frame loss rate, reduced control overhead, and minimum end-to-end delay.