2018 IEEE/CIC International Conference on Communications in China (ICCC) 2018
DOI: 10.1109/iccchina.2018.8641202
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Adaptive Uplink OFDMA Random Access Grouping Scheme for Ultra-Dense Networks in IEEE 802.11ax

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Cited by 17 publications
(18 citation statements)
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“…Little work related to TWT has been published. In [23], an adaptive UL OFDMA random access grouping scheme for IEEE 802.11ax WLANs is proposed. The performance of both the system and each STA is improved by coordinating the group size according to the UORA process during the TWT SP.…”
Section: The Current Progress In Twtmentioning
confidence: 99%
See 1 more Smart Citation
“…Little work related to TWT has been published. In [23], an adaptive UL OFDMA random access grouping scheme for IEEE 802.11ax WLANs is proposed. The performance of both the system and each STA is improved by coordinating the group size according to the UORA process during the TWT SP.…”
Section: The Current Progress In Twtmentioning
confidence: 99%
“…where t i denotes the optimal LI assigned to STA s i . Now, we explain the constraints in throughput maximization problem in (23). Since the average number of active STAs in a beacon slot greatly impacts the throughput, it is reasonable to get optimal contention level d cl to maximize throughput.…”
Section: ) Energy Efficiency (Ee)mentioning
confidence: 99%
“…A group-based approach to reducing the collision rate for UORA is proposed in [15]. With this approach, the AP divides the STAs into groups and uses the Target Wake Time (TWT) mechanism to assign a Service Period (SP) to every group.…”
Section: Related Workmentioning
confidence: 99%
“…Meanwhile, the authors in [ 27 , 28 , 29 ] attempted to combine UORA with other features in IEEE 802.11ax to improve the channel efficiency. In [ 27 ], the target wake time (TWT) mechanism, aimed at improving the power-saving performance of IEEE 802.11ax, was considered for grouping the STAs. By employing TWT, the STAs are classified into different groups, and their wake and sleep times are controlled collectively.…”
Section: Introductionmentioning
confidence: 99%
“…The number of STAs contending to access RUs can be controlled by means of TWT, and thus transmission collisions can be decreased. In [ 27 ], the optimal number of STAs in a group was also derived to maximize the channel efficiency. This work was extended in [ 28 ] by considering a network situation where the STA delivers BSR based on UORA; the relationship between group size and RU efficiency was analyzed, and an adaptive grouping algorithm with variable group size was proposed to achieve the optimal efficiency of BSR delivery.…”
Section: Introductionmentioning
confidence: 99%