Hello, everyone!
Today, I would like to continue to share a post on the novel features an open challenges of the IEEE 802.11ax amendment.
Spatial Reuse:
To provide continuous coverage with high transmission rates, dense WLAN deployments are required. A WLAN offers two possibilities for improving coexistence with nearby networks as well as spectrum spatial reuse:
(a) Reduce the region of inuence by lowering the transmit power, and
(b) Increase the Clear Channel Assessment (CCA) threshold to accept larger amounts of interference..
Both strategies may enhance the number of concurrent transmissions between neighboring WLANs, and therefore their capacity, but they may also have the reverse impact, since the achievable transmission rates may be harmed by the greater interference levels observed, which is the key difficulty to be handled.
The usage of adaptable systems is critical due to high WLAN dynamics, but it is difficult since adaptivity necessitates more complexity in terms of processing and memory requirements, and there are no guarantees that the established solution will converge due to each WLAN's decentralized operation.
One of the topics currently being discussed in the IEEE 802.11ax Task Group is the use of DSC (Dynamic Sensitivity Control) to dynamically alter the CCA level.
Initial tests of DSC's performance on IEEE 802.11ax WLANs reveal a significant increase in spatial reuse and throughput.
Another instance of the throughput gains that can be realized by changing the CCA, with gains of up to 100% possible. Furthermore, transmit Power Control (TPC) is used to decrease WLAN interference in dense scenarios, demonstrating the importance of optimizing both TPC and CCA together to maximize network performance.
Furthermore, as part of the development of the IEEE 802.11ax amendment, sectorization employing beamforming is being considered as a possible approach to increase spatial reuse. Only the nodes in a specified area are allowed to receive or send data using sectorization, which reduces conflict across multiple networks when non-overlapping sectors are activated.
The coordination of different surrounding APs when they pertain to separate administration domains is a hurdle. To find viable temporal variations of non-overlapping sectors, decentralized learning algorithms can be used.
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