Abstract:
The thesis proposes a novel concept in which SDRs (Software Defined radios) of a tactical
network are confined into dynamic self-regulatory virtual sub-nets. The proposed
design eradicates conflicts in resource access and distribution using a hybrid of Frequency
Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA)
approaches. It maximizes the usable bandwidth by exploiting radios’ autonomous behavior
and comply simultaneous data transmissions in a multi-channel environment
with self-organizing and self-forming capabilities. In compliance with low latency transmissions,
the thesis presents (i) Request-Acknowledgement-Request (RAR) and (ii) Optimized
RAR (O RAR) schemes to communicate intended data transmissions, sub-nets
formation, and dynamic data slot allocation with control phase optimization. The subnets
based design extends to devise a novel Virtual Sub-nets based Cross-Layer MAC
(VSCL-MAC) protocol. The proposed MAC-centric design with cross-layer optimization
empowers routing with persistently available k-hop neighbors and route information.
The integration of SDR capabilities and cross-layer optimization mitigate explicit
use of higher layer functionalities for efficient multihop routing and escalate network
throughput. The thesis provides a practical implementation of designs using a timeslotted
common control channel for nodes’ coordination and collision-free multi-channel
data transmissions. The theoretical findings with experimental analysis demonstrate the
gains of virtual sub-nets in tactical networks. The results and analysis over extensive
simulations validate significant performance improvements in terms of minimum control
overhead, effective multiple transmissions coexistence with an increase in network
throughput, and reduced data latency. Furthermore, a hybrid collision-free MAC is proposed
that utilizes the opportunistic full-duplex transmissions to achieve better throughii
put and reduce latency in a single-channel environment. Considering Mobile Ad hoc
Network (MANET) environment, radios face precipitous connectivity that causes substantial
packet loss and degradation of network performance. The thesis presents a stochastic
distribution based model for mobile SDRs that analyzes the network connectivity ratio
required by an application and estimates control time (e.g., packet forwarding and route
discovery) to maintain QoS for time-sensitive and reliable data requirements.
The proposed protocols maximize the network throughput by enabling the coexistence
of transmissions among multiple SDRs. Thus, providing more power to the users
for next-generation applications, delivering reliable transmission, QoS, affordable latency
bounds for time-critical and high data rate applications. Moreover, the proposed
designs distinctively provide a seamless self-forming self-healing MANET networking
capability where SDRs effectively improve data performance, connectivity, and operational
efficiency in a dynamic environment under the readiness of existing communication
architecture.