Improving Delay and Energy Efficiency of Vehicular Networks Using Mobile Femto Access Points

A vehicular network with Road Side Units (RSUs) provides an efficient way to connect vehicles even on the move. However, due to high deployment and maintenance cost of RSUs, it is necessary to use fewer RSUs, such that the total cost is minimized. It is suggested that cellular networks, such as Long-Term Evolution (LTE), are capable of fulfilling the demands posed in vehicular network scenarios. Availability of high bandwidth, large coverage area, and low latency are some of the advantages of cellular networks, which help in overcoming the challenges of high-speed vehicular communication. In this paper, we propose a maiden approach to analyze the performance of a vehicular network with cellular infrastructure as a backbone. For this, we use mobile Femto Access Points (FAPs) as relays in place of RSUs. We model the network using $M/M/m$ queue and compare the delay and throughput performance with traditional IEEE 802.11p vehicular networks. We also formulate an optimization problem and propose a subchannel power control algorithm to handle increased co-channel interference, which emerges due to high mobility of vehicles in the network. Our suggested approach shows improvement in terms of delay, throughput, and energy efficiency. The results are verified using extensive simulations.

[1]  Jan Markendahl,et al.  A comparative study of deployment options, capacity and cost structure for macrocellular and femtocell networks , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[2]  Jeffrey G. Andrews,et al.  Uplink capacity and interference avoidance for two-tier femtocell networks , 2007, IEEE Transactions on Wireless Communications.

[3]  Ying-Chang Liang,et al.  Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria , 2010, IEEE Transactions on Wireless Communications.

[4]  Pramod K. Varshney,et al.  Tuning the carrier sensing range of IEEE 802.11 MAC , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[5]  Ying-Chang Liang,et al.  Power Allocation for OFDM-Based Cognitive Radio Systems with Hybrid Protection to Primary Users , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[6]  Xuemin Shen,et al.  Vehicles Meet Infrastructure: Toward Capacity–Cost Tradeoffs for Vehicular Access Networks , 2013, IEEE Transactions on Intelligent Transportation Systems.

[7]  Peng Cheng,et al.  Cooperative data dissemination in cellular-VANET heterogeneous wireless networks , 2012, 2012 4th International High Speed Intelligent Communication Forum.

[8]  Andrei V. Gurtov,et al.  Secure and Multihomed Vehicular Femtocells , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[9]  Alexey V. Vinel,et al.  3GPP LTE Versus IEEE 802.11p/WAVE: Which Technology is Able to Support Cooperative Vehicular Safety Applications? , 2012, IEEE Wireless Communications Letters.

[10]  Sinem Coleri Ergen,et al.  Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination , 2016, IEEE Transactions on Vehicular Technology.

[11]  Jeffrey G. Andrews,et al.  A primer on spatial modeling and analysis in wireless networks , 2010, IEEE Communications Magazine.

[12]  Kaustubh R. Joshi,et al.  Enabling vehicular safety applications over LTE networks , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[13]  Lorenzo Rubio,et al.  Path Loss Characterization for Vehicular Communications at 700 MHz and 5.9 GHz Under LOS and NLOS Conditions , 2014, IEEE Antennas and Wireless Propagation Letters.

[14]  Osvaldo Simeone,et al.  Femtocell as a Relay: An Outage Analysis , 2011, IEEE Transactions on Wireless Communications.

[15]  Luca Delgrossi,et al.  IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[16]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[17]  Xuemin Shen,et al.  Opportunistic WiFi offloading in vehicular environment: A queueing analysis , 2014, 2014 IEEE Global Communications Conference.

[18]  Weihua Zhuang,et al.  Probabilistic Delay Control and Road Side Unit Placement for Vehicular Ad Hoc Networks with Disrupted Connectivity , 2011, IEEE Journal on Selected Areas in Communications.

[19]  Hossam S. Hassanein,et al.  HOF: A History-based Offloading Framework for LTE networks using mobile small cells and Wi-Fi , 2013, 38th Annual IEEE Conference on Local Computer Networks - Workshops.

[20]  Sidi-Mohammed Senouci,et al.  LTE4V2X - impact of high mobility in highway scenarios , 2011, Global Information Infrastructure Symposium - GIIS 2011.

[21]  Wei Yu,et al.  Dual methods for nonconvex spectrum optimization of multicarrier systems , 2006, IEEE Transactions on Communications.

[22]  Daniel Pérez Palomar,et al.  A tutorial on decomposition methods for network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.

[23]  Ozan K. Tonguz,et al.  Cars as roadside units: a self-organizing network solution , 2013, IEEE Communications Magazine.

[24]  Sanjit Krishnan Kaul,et al.  Minimizing age of information in vehicular networks , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[25]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

[26]  Tommy Svensson,et al.  Moving cells: a promising solution to boost performance for vehicular users , 2013, IEEE Communications Magazine.

[27]  Federico Boccardi,et al.  SLEEP mode techniques for small cell deployments , 2011, IEEE Communications Magazine.

[28]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[29]  Chung-Ju Chang,et al.  A Cost-Effective Strategy for Road-Side Unit Placement in Vehicular Networks , 2012, IEEE Transactions on Communications.

[30]  Hui Tian,et al.  An adaptive bias configuration strategy for range extension in LTE-advanced heterogeneous networks , 2011 .

[31]  Antonio Iera,et al.  LTE for vehicular networking: a survey , 2013, IEEE Communications Magazine.

[32]  C. Siva Ram Murthy,et al.  Improving capacity and energy efficiency of femtocell based cellular network through cell biasing , 2013, 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[33]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[34]  Aravind Kota Gopalakrishna,et al.  QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks , 2011, 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[35]  E. Colin Cherry A history of the theory of information , 1953, Trans. IRE Prof. Group Inf. Theory.

[36]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[37]  Mohamed-Slim Alouini,et al.  Delay efficient cooperation in public safety vehicular networks using LTE and IEEE 802.11p , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).