Scalable MAC protocol for D2D communication for future 5G networks

Publication Type:
Thesis
Issue Date:
2018
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Due to the steep growth in mobile data traffic, it will be a challenge for 5G networks to ful-fill the requirement using limited resources in licensed spectrum. However, the joint deployment of smaller cells in the Macro-cell has attempted to overcome this issue. It is observed that users are adversely affected by limited resources in the licensed band. Due to the scarcity of resources in the licensed band, it is better to deploy a small cell operating at an unlicensed spectrum like WLAN. Establishing Device to Device communication (D2D) in the cooperative deployment of cellular networks and WLAN can accommodate the on growing user data demand by intelligently allocating the resources, hence, forming a centralized control in a distributive manner. This Thesis gives a detailed overview of all the LTE technologies operating in an unlicensed band which includes; LTE-U, LAA, LWA, and MuLTEfire. The technologies are compared with extensive simulation and further D2D communication is applied in these technologies to observe their behaviour. This Thesis also introduces a three-tier architecture for next generation 5G networks which can offload traffic from cellular networks to WLAN in a dense environment. It proposes a Scalable MAC Protocol (SC-MP) to efficiently allocate resources for Wi-Fi users with D2D communication. SC-MP will allocate WLAN resources to the normal users in a centralized and efficient manner based on a novel PCF strategy, which will develop a centralized control in a distributive manner. The SC-MP is compared to legacy DCF protocol defined in IEEE 802.11 through extensive simulation to evaluate the network performance. The key result is that SC-MP is able to improve the performance compared to DCF for metrics that include; network throughput, network capacity, and network delay. Furthermore, the thesis gives a detailed mathematical analysis of SC-MP using Markov modelling and semi-Markov modelling. Effective capacity is derived using three-state semi-Markov modelling for the proposed SC-MP. Analytical results are validated through the simulation results. In addition, an optimal queue scheduling and resource allocation problem with QoS guaranteed between the licensed and unlicensed band is formulated to minimize the bandwidth of licensed spectrum and maximize the aggregated effective capacity of a three-tier network. The results proved that the proposed SC-MP can perform better compared with the state of art.
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