TCP Optimization

not result in desired QoE for the network users due

to TCP protocol challenges
TCP performance on today’s mobile and fixed networks is sub-optimal costing network operators a huge sums of business due to inefficient use of expensive resources (for e.g. RAN and Spectrum in mobile networks), growing capacity challenges, and poor subscriber experience
Managing video streams, heavy users and bandwidth-intensive background applications tackle congestion only
Subscribers increasing reliance on digital devices mandates that critical applications of transactional nature use reliable data transports like TCP
Optimizing transport layer (TCP) introduces an entirely new and independent class of network optimization that can complement other congestion mitigation techniques
TCP uses flow and congestion control that is most suitable for fixed networks as flow and congestion issues are more predictable
Sandvine’s solution for TCP Optimization ‘takes control’ of TCP connection in the network and makes TCP ‘access-aware’, optimizing it for the unique characteristics of a mobile operator’s mobile network

of mobile Internet traffic is TCP

TCP behaves very poorly on

mobile, satellite and WAN networks where higher latencies and lost packets are normal

TCP is the engine of the Internet

about underlying network and remains conservative to overcome uncertainty
No guarantee

that different TCP endpoint devices use same algorithms and TCP options for congestion control
TCP congestion control mechanism lack direct knowledge of the underlying network and call model characteristics of the network
Lacking end-to-end control and visibility, inflight data rates fluctuates on both sides of the BDP*
TCP’s behavior to “starve” and “overwhelms” the network resources has major negative impact on subscribers QoE

*Bandwidth Delay Product (BDP) is the mathematical product of instantaneously available bandwidth and latency

TCP is built in 1974

Designed for fixed access networks

Don’t act on flows in aggregate

Overreact to packet drops

Left on its own, TCP stops network from reaching its potential

TCP may be fast when bandwidth is scarce

When bandwidth is available, TCP is not fast enough

slow start phase, a packet drops
Timeout reached for the dropped

packets; The loss starts a congestion avoidance state with a lower threshold

A few dropped packets (for e.g. from interference in a wireless network) cause TCP to be much slower than the network performance demands can justify. The network can accommodate much more aggressive ‘ramp-up’, but TCP is too conservative to use the available capacity.

Misinterpreting network conditions make TCP itself a bottleneck for performance and efficiency.

Solution for TCP Acceleration

which takes control of the TCP connection while remain end-to-end

transparent

Designed for Today’s Networks
Account for all TCP connections as a collective whole while taking all TCP flows for an individual user for actions. Manages ”starving” and “bufferbloats” efficiently

Improved Subscriber QoE
Faster data transmissions and increased application performance

Increased Network Performance
Higher ratio of goodput to throughput, better resource utilization, reduced retransmissions, extended investments lifetime

Increase Revenue Opportunities
Faster and more reliable connections allow subscribers to do more data usage

Better Congestion Control
Operator can delay other congestion management investments

RTT
Consistently low retransmissions
Higher and improved Goodput

latency at 95% utilization of the network – “hotter” utilization

of investment by supporting more subscribers

Savings on Interconnect Fee
Fewer retransmissions allow savings on interconnect fee. Retransmissions can be reduced from 7-9% to 1-2%

Revenue Increase
Improving average RTT directly impact subscriber QoE resulting in more usage, satisfied customers and increased revenue

Accelerator Deployment

WiMAX Access Technology

3G/4G network in each transfer size bucket

shows significant improvement in subscriber throughput in different network conditions