Sumudu Samarakoon
University of Oulu, Centre for wireless communications, Faculty Member
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Engineering, Computer Science, Distributed Computing, Communication, Biomedical Engineering, and 15 moreNetworks, Cloud Computing, Computer Network, Mobile Communications, Access, Science Technology, Paradigm, Challenges, Connected Vehicles, G, Electrical And Electronic Engineering, Millimeter Wave Communications, Edge Computing, Edge Intelligence, and Edge device
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Engineering, Mathematics, Computer Science, Communication, Technology, and 15 moreBiomedical Engineering, Policy, Risk, Training, Neural Networks, Artificial Neural Networks, Wireless Network, Reliability, Training data, Data Models, Scalability, Science Technology, Latency, G, and Electrical And Electronic Engineering
Research Interests: Computer Science, Distributed Computing, Non-convex optimization, MIMO, Computer Network, and 12 moreWireless Network, Wireless, Macro, Random Matrix Theory, Full Duplex Radios, Electrical And Electronic Engineering, Massive Mimo, Heterogeneous Network, Base station, mmWave Communications, Self Backhaul, and imperfect CSI
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
ABSTRACT In this paper, we develop novel two-tier interference management strategies that enable macrocell users (MUEs) to improve their performance, with the help of open-access femtocells. To this end, we propose a rate-splitting... more
ABSTRACT In this paper, we develop novel two-tier interference management strategies that enable macrocell users (MUEs) to improve their performance, with the help of open-access femtocells. To this end, we propose a rate-splitting technique using which the MUEs optimize their uplink transmissions by dividing their signals into two types: a coarse message that is intended for direct transmission to the macrocell base station and a fine message that is decoded by a neighboring femtocell and subsequently relayed over a heterogeneous (wireless/wired) backhaul. For deploying the proposed technique, we formulate a non-cooperative game between the MUEs in which each MUE can decide on its relaying femtocell while maximizing a utility function that captures both the achieved throughput and the expected backhaul delay. Simulation results show that the proposed approach yields up to 125% rate improvement and up to 2 times delay reduction with wired backhaul and, 150% rate improvement and up to 10 times delay reduction with wireless backhaul, relative to classical interference management approaches, with no cross-tier cooperation.