Large scale datasets for THz based midhaul link evaluation between CU and DU

In this paper, we investigate the feasibility of THzwirelessmidhaullinksbetweentheCentralUnits(CU)andDistributed Units (DU) in a disaggregated network architectureIn this paper, we investigate the feasibility of THzwireless midhaul links between the Central Units (CU) andDistributed Units (DU) in a disaggregated network architecturewith functional splits. We consider the network planning problemto examine the impacts of the number of deployed CUs and powerallocations at each CU on the system performance measuredin terms of the achieved data rates on the wireless midhaulIn this paper, we investigate the feasibility of THzwireless midhaul links between the Central Units (CU) andIn this paper, we investigate the feasibility of THzwireless midhaul links between the Central Units (CU) andDistributed Units (DU) in a disaggregated network architecturewith functional splits. We consider the network planning problemto examine the impacts of the number of deployed CUs and powerallocations at each CU on the system performance measuredin terms of the achieved data rates on the wireless midhaullinks between the CUs and DUs. To approach this problem, wecast our system model as an instance of Multi-user MultipleInput Multiple Output (MU-MIMO), and investigate an approachbased on signal-to-leakage noise ratio (SLNR) for efficient com-putation of the transmit precoding vectors. Furthermore, weexplore different power allocation strategies to improve overallperformance when the transmit power at a CU is limited. Theimpact of each of the network design parameters (i.e. numberof deployed CUs and power allocation) is investigated throughextensive simulation results. To this end, we have used ray-tracingto establish an emulation framework for generating large-scaledatasets to model THz signal propagation.Distributed Units (DU) in a disaggregated network architecturewith functional splits. We consider the network planning problemto examine the impacts of the number of deployed CUs and powerallocations at each CU on the system performance measuredin terms of the achieved data rates on the wireless midhaullinks between the CUs and DUs. To approach this problem, wecast our system model as an instance of Multi-user MultipleInput Multiple Output (MU-MIMO), and investigate an approachbased on signal-to-leakage noise ratio (SLNR) for efficient com-putation of the transmit precoding vectors. Furthermore, weexplore different power allocation strategies to improve overallperformance when the transmit power at a CU is limited. Theimpact of each of the network design parameters (i.e. numberof deployed CUs and power allocation) is investigated throughextensive simulation results. To this end, we have used ray-tracingto establish an emulation framework for generating large-scaledatasets to model THz signal propagationlinks between the CUs and DUs. To approach this problem, wecast our system model as an instance of Multi-user MultipleInput Multiple Output (MU-MIMO), and investigate an approachbased on signal-to-leakage noise ratio (SLNR) for efficient com-putation of the transmit precoding vectors. Furthermore, weexplore different power allocation strategies to improve overallperformance when the transmit power at a CU is limited. Theimpact of each of the network design parameters (i.e. numberof deployed CUs and power allocation) is investigated throughextensive simulation results. To this end, we have used ray-tracingto establish an emulation framework for generating large-scaledatasets to model THz signal propagationwith functional splits. We consider the network planning problemto examine the impacts of the number of deployed CUs and powerallocations at each CU on the system performance measuredin terms of the achieved data rates on the wireless midhaullinks between the CUs and DUs. To approach this problem, wecast our system model as an instance of Multi-user MultipleInput Multiple Output (MU-MIMO), and investigate an approachbased on signal-to-leakage noise ratio (SLNR) for efficient com-putation of the transmit precoding vectors. Furthermore, weexplore different power allocation strategies to improve overallperformance when the transmit power at a CU is limited. Theimpact of each of the In this paper, we investigate the feasibility of THzwirelessmidhaullinksbetweentheCentralUnits(CU)andThis Dataset is used to evaluate THz based midhaul links. Towards Efficient THz-Based Wireless MidhaulLinks for 6G Transport NetworksDistributed Units (DU) in a disaggregated network architecturewith functional splits. We consider the network planning problemto examine the impacts of the number of deployed CUs and powerallocations at each CU on the system performance measuredin terms of the achieved data rates on the wireless midhaullinks between the CUs and DUs. To approach this problem, wecast our system model as an instance of Multi-user MultipleInput Multiple Output (MU-MIMO), and investigate an approachbased on signal-to-leakage noise ratio (SLNR) for efficient com-putation of the transmit precoding vectors. Furthermore, weexplore different power allocation strategies to improve overallperformance when the transmit power at a CU is limited. Theimpact of each of the network design parameters (i.e. numberof deployed CUs and power allocation) is investigated throughextensive simulation results. To this end, we have used ray-tracingto establish an emulation framework for generating large-scaledatasets to model THz signal propagationnetwork design parameters (i.e. numberof deployed CUs and power allocation) is investigated throughextensive simulation results. To this end, we have used ray-tracingto establish an emulation framework for generating large-scaledatasets to model THz signal propagation