Backhaul-aware Scheduling Technique for LTE-WLAN Aggregation

Abdulshakoor, Ahmed I.; Elmesalawy, Mahmoud M.; Khalaf, Gamal A.; Dessouky, Moawad I.

doi:10.1109/wcnc.2019.8886122

Cited by 2 publications

(3 citation statements)

References 19 publications

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“…The research of [ 18 , 19 ] proposes coordinated scheduling methods for Time Division Multiplexing Passive Optical Networks. The work of [ 17 , 18 , 19 , 20 , 21 ] considers traffic scheduling under a DCS C-RAN. The work of [ 17 ] designs a dynamic bargaining-based approach to enhance throughput.…”

Section: Related Workmentioning

confidence: 99%

“…The study of [ 20 ] designs an evolutionary-game-based scheme to improve secondary transmitters’ utility. The research of [ 21 ] proposes a matching method to reach a near-optimal result. However, all the above mentioned literature [ 17 , 18 , 19 , 20 , 21 ] does not address the energy efficiency issue.…”

Section: Related Workmentioning

confidence: 99%

“…The research of [ 21 ] proposes a matching method to reach a near-optimal result. However, all the above mentioned literature [ 17 , 18 , 19 , 20 , 21 ] does not address the energy efficiency issue. Our work considers how to form a cooperating set dynamically and how to adapt transmit power to maximize energy efficiency while guaranteeing users’ QoS at the same time.…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Set Planning for Coordinated Multi-Point in B4G/5G Networks

Liang

Hsu

Chen

et al. 2021

Sensors

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Coordinated Multi-Point (CoMP) is an important technique in B4G/5G networks. With CoMP, multiple base stations can be clustered to compose a cooperating set to improve system throughput, especially for the users in cell edges. Existed studies have discussed how to mitigate overloading scenarios and enhance system throughput with CoMP statically. However, static cooperation fixes the set size and neglects the fast-changing of B4G/5G networks. Thus, this paper provides a full study of off-peak hours and overloading scenarios. During off-peak hours, we propose to reduce BSs’ transmission power and use the free radio resource to save energy while guaranteeing users’ QoS. In addition, if large-scale activities happen with crowds gathering or in peak hours, we dynamically compose the cooperating set based on instant traffic requests to adjust base stations’ BSs’ transmission power; thus, the system will efficiently offload the traffic to the member cells which have available radio resources in the cooperating set. Experimental results show that the proposed schemes enhance system throughput, radio resource utilization, and energy efficiency, compared to other existing schemes.

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