A mathematical model of transmitting a non-ordinary flow with periodic reservations and block acknowledgements in a channel with correlated noise
- Авторлар: Ivanov A.S.1, Lyakhov A.I.1, Khorov E.M.1
- 
							Мекемелер: 
							- Institute for Information Transmission Problems (Kharkevich Institute)
 
- Шығарылым: Том 78, № 11 (2017)
- Беттер: 1978-1990
- Бөлім: Stochastic Systems
- URL: https://journals.rcsi.science/0005-1179/article/view/150717
- DOI: https://doi.org/10.1134/S0005117917110042
- ID: 150717
Дәйексөз келтіру
Аннотация
To improve the reliability of data delivery, in Wi-Fi networks stations can reserve for their transmissions periodic time intervals of the same duration in which they are allowed to transmit, while adjacent stations do not have that right. Here there arises the problem of choosing the parameters of reserved intervals that would ensure quality of service requirements for transmitted data in the smallest possible amount of reserved channel time. We consider the data transmission process in periodic intervals with the block acknowledgement policy that lets us reduce the costs by acknowledgement the set of packets with a single service message. We propose a method for mathematical modeling of such a transmission.
Авторлар туралы
A. Ivanov
Institute for Information Transmission Problems (Kharkevich Institute)
							Хат алмасуға жауапты Автор.
							Email: a.ivanov@iitp.ru
				                					                																			                												                	Ресей, 							Moscow						
A. Lyakhov
Institute for Information Transmission Problems (Kharkevich Institute)
														Email: a.ivanov@iitp.ru
				                					                																			                												                	Ресей, 							Moscow						
E. Khorov
Institute for Information Transmission Problems (Kharkevich Institute)
														Email: a.ivanov@iitp.ru
				                					                																			                												                	Ресей, 							Moscow						
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