About Book
"Game-Theoretic Resource Allocation for Device-to-Device Communication in Cellular Networks" explores the transformative potential of D2D communication as a solution for offloading cellular traffic, improving spectral efficiency, and enabling low-latency, energy-aware connectivity in 5G and future wireless systems.
While D2D offers numerous benefits, it introduces significant interference challenges, both within and across network tiers. This book tackles these issues head-on by presenting two innovative models:
Interference Aware Resource Allocation (IARA): A strategic game-theoretic model designed to manage co-tier and cross-tier interference while optimizing system throughput and resource utilization.
Fair and Efficient Resource Allocation (FERA): An advanced iterative game theory–based framework that allocates resources to D2D pairs with a focus on fairness, energy efficiency, and performance scalability, even in complex and dynamic environments.
Both models are rigorously evaluated through experimental simulations, demonstrating significant gains in:
Successful packet transmission
Sum-rate utility
Delay minimization
Energy efficiency
Fairness index
Runtime performance
This book is ideal for researchers, engineers, and graduate students engaged in wireless communications, game theory, D2D systems, and 5G network design, offering both theoretical insights and practical applications for next-generation wireless architectures.
Empower next-gen networks with smarter, fairer, and interference-resilient D2D communication models.
About Author
Author 1:Dr. Ruksar Fatima is a dedicated researcher and academician with expertise in wireless communication, device-to-device (D2D) networking, and intelligent resource management in cellular systems. With a strong academic background and a Doctorate in Engineering, she has focused her research on solving real-world challenges in next-generation wireless networks, particularly in the areas of interference mitigation, spectrum optimization, and game-theoretic approaches.
Her work blends theoretical depth with practical relevance, making significant contributions to the design of efficient, fair, and energy-aware communication models for modern cellular infrastructure. As the author of this book, Dr. Fatima presents innovative solutions—IARA and FERA models—that showcase how game theory and iterative algorithms can drive smarter decision-making in D2D environments.
Known for her analytical clarity, academic integrity, and professional dedication, Dr. Ruksar Fatima continues to contribute to the advancement of wireless technology and inspire emerging scholars in the field of communication systems and applied machine learning in networks.
Author 2 : Dr. Rohina Khanum is a committed and resourceful academician known for her humility, honesty, and unwavering dedication to excellence in engineering education and research. She holds her B.E, M.Tech, and Ph.D degrees from Visvesvaraya Technological University (VTU), Belagavi, and has consistently demonstrated outstanding academic and professional capabilities throughout her journey.
Dr. Khanum's research interests lie in the areas of wireless communication, intelligent systems, and emerging network technologies, where she blends technical insight with practical relevance. Her work is characterized by a strong sense of purpose, efficiency, and a passion for contributing to impactful advancements in engineering.
Widely respected by her peers and students alike, Dr. Rohina Khanum exemplifies the qualities of a modern educator—knowledgeable, disciplined, and always striving for excellence. Her scholarly contributions reflect her commitment to solving real-world problems through innovation, research, and collaboration.
Mohammed Naveeduddin is an academician and innovator with a passion for advancing technology and education. Currently an Assistant Professor of Computer Science and Engineering at Khaja Bandanawaz University, Karnataka, he brings a rich blend of industry and academic experience. Formerly a Patent Engineer, he has filed three patents that showcase his inventive approach to solving complex problems. His areas of expertise include Cyber Security, Cloud Computing, and Artificial Intelligence, with a particular interest in applying Machine Learning to secure digital systems. Driven by curiosity and a commitment to knowledge, he continues to inspire the next generation of engineers and researchers.
