![Existing System:
For infrastructure WLANs, the recent IEEE 802.11n standard supporting
single user multiple-input multiple-output (MIMO) transmissions and
IEEE 802.11ac standard supporting multi-user MIMO (MUMIMO)
downlink transmissions between access points (APs) and user stations
(STNs) are increasingly deployed as they support higher data rates than
the older IEEE 802.11a/b/g standards.
Furthermore, in order to meet increasing demands on uplink capacity, MU-
MIMO for STN to AP transmissions in IEEE 802.11 systems has also been
discussed [2][3], in which packets simultaneously transmitted by multiple
STNs can be successfully received by an AP; this capability is referred to as
multi-packet reception (MPR).
Proposed System:
Our design assumes that the number of packets successfully received by an
AP is proportional to the number of receive antennas owing to the use of
MU-MIMO technology in the AP. In our proposed algorithms, STNs
perform a Bayesian-like estimation on the number of backlogged STNs,
and use an optimal transmission probability that is a function of the
estimated backlog size.
In particular, each data packet transmitted by an STN carries also a one-bit
indication to the AP, based on which the AP cooperatively assists the
STNs’ backlog estimation by providing feedback information in the
corresponding acknowledgment (ACK) packet.
Hardware Requirements:](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Recommended
More Related Content
What's hot
What's hot (19)
Similar to Cooperative pseudo bayesian backoff
Similar to Cooperative pseudo bayesian backoff (20)
More from ieeeprojectschennai
More from ieeeprojectschennai (20)
Recently uploaded
Recently uploaded (20)
Cooperative pseudo bayesian backoff
- 1. Cooperative Pseudo-Bayesian Backoff Algorithms for Unsaturated CSMA Systems with Multi-Packet Reception Abstract: This paper proposes efficient backoff algorithms for uplink multi-packet reception (MPR) capable IEEE 802.11 systems in order to maximize the system throughput. According to the proposed algorithms, each station (STN) estimates, in a Bayesian manner under an unsaturated channel traffic condition, the number of backlogged STNs sharing the multiple access channel to obtain an optimal (re)transmission probability. Additionally, an access point and associated STNs cooperate by exchanging information piggybacked in transmitted data packets and the corresponding acknowledgment packets. The mean and variance of the queuing delays of the proposed algorithms are extensively evaluated via simulations under various environments such as time-varying populations and various asymmetric traffic conditions and compared to those of the conventional binary exponential back off (BEB) algorithm. Furthermore, the queuing performance of the proposed algorithms is compared to the queuing delay lower bound obtained from a system that has perfect knowledge of the backlog size. Numerical results emonstrate the robustness of the proposed algorithms in various environments, and that they outperform the BEB algorithm.
- 2. Existing System: For infrastructure WLANs, the recent IEEE 802.11n standard supporting single user multiple-input multiple-output (MIMO) transmissions and IEEE 802.11ac standard supporting multi-user MIMO (MUMIMO) downlink transmissions between access points (APs) and user stations (STNs) are increasingly deployed as they support higher data rates than the older IEEE 802.11a/b/g standards. Furthermore, in order to meet increasing demands on uplink capacity, MU- MIMO for STN to AP transmissions in IEEE 802.11 systems has also been discussed [2][3], in which packets simultaneously transmitted by multiple STNs can be successfully received by an AP; this capability is referred to as multi-packet reception (MPR). Proposed System: Our design assumes that the number of packets successfully received by an AP is proportional to the number of receive antennas owing to the use of MU-MIMO technology in the AP. In our proposed algorithms, STNs perform a Bayesian-like estimation on the number of backlogged STNs, and use an optimal transmission probability that is a function of the estimated backlog size. In particular, each data packet transmitted by an STN carries also a one-bit indication to the AP, based on which the AP cooperatively assists the STNs’ backlog estimation by providing feedback information in the corresponding acknowledgment (ACK) packet. Hardware Requirements:
- 3. • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server