%0 Conference Paper %1 Sankararaman2016 %A Sankararaman, Abishek %A woo Cho, Jeong %A Baccelli, Francois %B 28th International Teletraffic Congress (ITC 28) %C Würzburg, Germany %D 2016 %K itc itc28 %T Performance-Oriented Association in Large Cellular Networks with Technology Diversity %U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Sankararaman2016.pdf?inline=true %X The development of mobile virtual network operators, where multiple wireless technologies (e.g. 3G and 4G) or operators with non-overlapping bandwidths are pooled and shared is expected to provide enhanced service with broader coverage, without incurring additional infrastructure cost. However, their emergence poses an unsolved question on how to harness such a technology and bandwidth diversity. This paper addresses one of the simplest questions in this class, namely, the issue of associating each mobile to one of those bandwidths. Intriguingly, this association issue is intrinsically distinct from those in traditional networks. We first propose a generic stochastic geometry model lending itself to analyzing a wide class of association policies exploiting various information on the network topology, e.g. received pilot powers and fading values. This model firstly paves the way for tailoring and designing an optimal association scheme to maximize any performance metric of interest (such as the probability of coverage) subject to the information known about the network. In this class of optimal association, we prove a result that the performance improves as the information known about the network increases. Secondly, this model is used to quantify the performance of any arbitrary association policy and not just the optimal association policy. We propose a simple policy called the Max-Ratio which is not-parametric, i.e. it dispenses with the statistical knowledge of base station deployments commonly used in stochastic geometry models. We also prove that this simple policy is optimal in a certain limiting regime of the wireless environment. Our analytical results are combined with simulations to compare these policies with basic schemes, which provide insights into (i) a practical compromise between performance gain and cost of estimating information and; (ii) the selection of association schemes under environments with different propagation models, i.e. path-loss exponents.

@inproceedings{Sankararaman2016, abstract = {The development of mobile virtual network operators, where multiple wireless technologies (e.g. 3G and 4G) or operators with non-overlapping bandwidths are pooled and shared is expected to provide enhanced service with broader coverage, without incurring additional infrastructure cost. However, their emergence poses an unsolved question on how to harness such a technology and bandwidth diversity. This paper addresses one of the simplest questions in this class, namely, the issue of associating each mobile to one of those bandwidths. Intriguingly, this association issue is intrinsically distinct from those in traditional networks. We first propose a generic stochastic geometry model lending itself to analyzing a wide class of association policies exploiting various information on the network topology, e.g. received pilot powers and fading values. This model firstly paves the way for tailoring and designing an optimal association scheme to maximize any performance metric of interest (such as the probability of coverage) subject to the information known about the network. In this class of optimal association, we prove a result that the performance improves as the information known about the network increases. Secondly, this model is used to quantify the performance of any arbitrary association policy and not just the optimal association policy. We propose a simple policy called the Max-Ratio which is not-parametric, i.e. it dispenses with the statistical knowledge of base station deployments commonly used in stochastic geometry models. We also prove that this simple policy is optimal in a certain limiting regime of the wireless environment. Our analytical results are combined with simulations to compare these policies with basic schemes, which provide insights into (i) a practical compromise between performance gain and cost of estimating information and; (ii) the selection of association schemes under environments with different propagation models, i.e. path-loss exponents.}, added-at = {2016-08-31T16:30:53.000+0200}, address = {Würzburg, Germany}, author = {Sankararaman, Abishek and woo Cho, Jeong and Baccelli, Francois}, biburl = {https://www.bibsonomy.org/bibtex/23ae88d275423aa8eeac645951ef9e3ce/itc}, booktitle = {28th International Teletraffic Congress (ITC 28)}, days = {12}, interhash = {418e02c15331f2366271b5f05e966419}, intrahash = {3ae88d275423aa8eeac645951ef9e3ce}, keywords = {itc itc28}, month = {Sept}, timestamp = {2020-05-26T16:53:35.000+0200}, title = {Performance-Oriented Association in Large Cellular Networks with Technology Diversity}, url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Sankararaman2016.pdf?inline=true}, year = 2016 }