Layer two compression for erroneous wireless

Wireless connection such as 802.11 and cellar networks is preferred for internet connections as its quick set up and mobility. However, radio propagations are prone to signal errors, noises and interferences. Even more powerful modulations and coding were developed; they do not change the nature of error sensitive in wireless link. When network link worsens, the available bandwidth decreases. This exerts problems for the user speed requirement. This paper examines layer two compressions on decreasing link quality. The 802.11 network simulations based on Bianchi model and Shannon theory show that compression technique on layer two increases throughput about 10.27%, although delay increases about two times.

[1]  Suherman,et al.  A subjective scheduler for subjective dedicated networks , 2017 .

[2]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[3]  Shlomo Shamai,et al.  Multihop backhaul compression for the uplink of cloud radio access networks , 2013, 2014 IEEE International Symposium on Information Theory.

[4]  Gaurav Soni,et al.  Performance investigation of the WLAN link using QAM and QPSK based on vector signal transceiver 5644R , 2017, 2017 7th International Conference on Communication Systems and Network Technologies (CSNT).

[5]  Rudi Arif Candra,et al.  The Impact of Buffer Queue Interface Size to The 802.11 Ad Hoc Network Performances , 2019 .

[6]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[7]  Wei Zhang,et al.  Huffman Coding-Based Adaptive Spatial Modulation , 2017, IEEE Transactions on Wireless Communications.

[8]  Periklis Chatzimisios,et al.  An interference based dynamic channel access algorithm for dense WLAN deployments , 2017, 2017 Panhellenic Conference on Electronics and Telecommunications (PACET).

[9]  Rudi Arif Candra,et al.  Various layer techniques to improve video transmission on 20 GHz radio link in a rainy environment , 2019 .

[10]  S Suherman,et al.  Optimizing the 802.11 hotspot performances by using load and resource balancing method , 2018 .

[11]  Suherman,et al.  Reducing link quality impact to encrypted packets by compressing the transmitted data , 2020 .

[12]  Angeliki Alexiou,et al.  Access Point Density and Bandwidth Partitioning in Ultra Dense Wireless Networks , 2013, IEEE Transactions on Communications.

[13]  H. Vincent Poor,et al.  Application of Non-Orthogonal Multiple Access in LTE and 5G Networks , 2015, IEEE Communications Magazine.

[14]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[15]  Kazunori Hayashi,et al.  Adaptive modulation and coding design for communication-based train control systems using IEEE 802.11 MAC with RTS/CTS , 2017, 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[16]  Der-Jiunn Deng,et al.  QoS/QoE Support for H.264/AVC Video Stream in IEEE 802.11ac WLANs , 2017, IEEE Systems Journal.