Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI

Korrai, Praveen Kumar; Lagunas, Eva; Bandi, Ashok; Sharma, Shree Krishna; Chatzinotas, Symeon

doi:10.1109/ojcoms.2020.3029553

Cited by 35 publications

(31 citation statements)

References 35 publications

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“…Let us assume that the UE sends either eMBB traffic, mMTC traffic or URLLC traffic such that U S = U e ∪ U m ∪ U u and U e ∩ U m ∩ U u = ∅. Indeed, one UE can can generate one type of traffic at a specific time slot/frame, while other traffic types can be generated at successive time slots/frames [20], [22]- [24]. Therefore, we adjust the time granularity in our system according to the number of traffic types generated simultaneously by the same UE to cover large scale network's settings.…”

Section: A Traffic Model In the Terrestrial Networkmentioning

confidence: 99%

Proactive Traffic Offloading in Dynamic Integrated Multisatellite Terrestrial Networks

Abderrahim

Amin

Alouini

et al. 2022

IEEE Trans. Commun.

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The integration between the satellite network and the terrestrial network will play a key role in the upcoming sixth-generation (6G) of mobile cellular networks thanks to the wide coverage and bandwidth offered by satellite networks. To leverage this integration, we propose a proactive traffic offloading scheme in an integrated multi-satellite terrestrial network (IMSTN) that considers the future networks' heterogeneity and predicts their variability. Our proposed offloading scheme hinges on traffic prediction to answer the stringent requirements of data-rate, latency and reliability imposed by heterogeneous and coexisting services and traffic namely enhanced mobile broadband (eMBB), massive machinetype communications (mMTC) and ultra-reliable low latency communication (URLLC). However, the fulfilment of these requirements during offloading in dynamic IMSTN comes at the expense of significant energy consumption and introduces inherently supplementary latency. Therefore, our offloading scheme aims to balance the fundamental trade-offs first between energy consumption and the achievable datarate and second between energy consumption and latency while meeting the respective needs of the present traffic. Our findings prove the importance of the cooperation between the multi-satellite network and the terrestrial network conditioned by traffic prediction to enhance the performance of IMTSN in terms of latency and energy consumption.

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Section: A Traffic Model In the Terrestrial Networkmentioning

confidence: 99%

Proactive Traffic Offloading in Dynamic Integrated Multisatellite Terrestrial Networks

Abderrahim

Amin

Alouini

et al. 2022

IEEE Trans. Commun.

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show abstract

“…Let us assume that the UE sends either eMBB traffic, mMTC traffic or URLLC traffic such that US = Ue ∪ Um ∪ Uu and Ue ∩ Um ∩ Uu = ∅. Indeed, one UE can can generate one type of traffic at a specific time slot/frame, while other traffic types can be generated at successive time slots/frames [7,16,23,29]. Therefore, we adjust the time granularity in our system according to the number of traffic types generated simultaneously by the same UE to cover large scale network's settings.…”

Section: Iia Traffic Model In the Terrestrial Networkmentioning

confidence: 99%

Proactive Traffic Offloading in Dynamic Integrated Multi-Satellite Terrestrial Networks

Abderrahim¹,

Amin²,

Alouini³

et al. 2022

Preprint

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The integration between the satellite network and the terrestrial network will play a key role in the upcoming sixth-generation (6G) of mobile cellular networks thanks to the wide coverage and bandwidth offered by satellite networks. To leverage this integration, we propose a proactive traffic offloading scheme in an integrated multi-satellite terrestrial network (IMSTN) that considers the future networks' heterogeneity and predicts their variability. Our proposed offloading scheme hinges on traffic prediction to answer the stringent requirements of data-rate, latency and reliability imposed by heterogeneous and coexisting services and traffic namely enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) and ultra-reliable low latency communication (URLLC). However, the fulfilment of these requirements during offloading in dynamic IMSTN comes at the expense of significant energy consumption and introduces inherently supplementary latency. Therefore, our offloading scheme aims to balance the fundamental trade-offs first between energy consumption and the achievable data-rate and second between energy consumption and latency while meeting the respective needs of the present traffic. Our findings prove the importance of the cooperation between the multi-satellite network and the terrestrial network conditioned by traffic prediction to enhance the performance of IMTSN in terms of latency and energy consumption.

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“…The paper [17] has issued a delay-aware problem of URLLC users while maximizing the overall system EE. A joint power and RB allocation problem is investigated in [18] whose target is to minimize downlink power consumption under a heterogeneous network. However, the papers of [16]- [18] do not consider the inter-numerology interference (INI) caused by the overlapped numerologies [19], [20].…”

Section: Introductionmentioning

confidence: 99%

“…A joint power and RB allocation problem is investigated in [18] whose target is to minimize downlink power consumption under a heterogeneous network. However, the papers of [16]- [18] do not consider the inter-numerology interference (INI) caused by the overlapped numerologies [19], [20]. As analyzed in [19], [20], INI cannot be neglected due to its serious interfered power induced by non-orthogonal transmission frames.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Resource Allocation for Multinumerology Enabled Hybrid Services in B5G Wireless Mobile Networks

Shen

Feng

2023

IEEE Trans. Wireless Commun.

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Multi-numerology (MN) providing a flexible transmission frame structure has attracted a considerable attention for supporting abundant services for beyond fifth-generation (B5G) networks. However, mobility induces severe performance degradation under different numerologies including temporal and spectral fluctuation, which is not well-investigated in existing literature. We have conceived an MN-enabled energy efficiency (EE) problem aiming for alleviating mobility-and MN-induced interferences through moderate power and sub-carrier assignment, while considering quality-of-service (QoS) and latency requirements for different services. We propose a multi-numerology based power and resource block allocation (MNPRA) scheme considering time-/frequency-division (TD/MD) based MN leveraging temporal and spectral features among numerologies. The original non-solvable problem is theoretically transformed into a convex one by employing Dinkelbach process, Taylor approximation and difference of two concave functions (D.C.). Convergence of proposed MNPRA scheme is analyzed and verified by simulations. In simulation results, we have evaluated MNPRA under different service demands, user velocities and MN types. Our proposed scheme outperforms the conventional single-numerology framing and existing methods in open literature, which results in performances of higher EE as well as of lower throughput/delay outage probability.

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Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI

Cited by 35 publications

References 35 publications

Proactive Traffic Offloading in Dynamic Integrated Multisatellite Terrestrial Networks

Proactive Traffic Offloading in Dynamic Integrated Multisatellite Terrestrial Networks

Proactive Traffic Offloading in Dynamic Integrated Multi-Satellite Terrestrial Networks

Energy Efficient Resource Allocation for Multinumerology Enabled Hybrid Services in B5G Wireless Mobile Networks

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