The interest for rapid portable Internet administrations has expanded drastically. An ongoing study uncovers that Internet get to be anticipated to be a standard component of future engine vehicles. Travelers in the vehicle need to be associated at home or office, and may require fluctuated Internet administrations, for example, web surfing, email, the web based diversion, sound and video gushing, among others. In propose an enhanced monotone offloading model, where multiple wireless networks are used to transfer mobile data. Mobile can minimize the total communication cost by selecting different networks. Wi-Fi offloading techniques can be classified into: (1) auction game-based offloading and (2) congestion game-based offloading. To offload cellular traffic of vehicular users through carrier-WiFi networks based on game-theory approaches, jointly considering the utilities of vehicular users and the mobile network operator, and the overall offloading performance. Specifically, in the auction game-based offloading mechanism, periodic auctions is employed for the mobile network operators to sell WiFi access opportunities. Vehicular users calculate their utilities and submit bids if the utility is positive. In this research, focus to predict Wi-Fi offloading potential and access cost is introduced and incorporated in the proposed finite horizon markov decision process offloading mechanisms to make offloading decisions efficiently. Each Vehicular Users make an offloading decision based on the strategies of other Vehicular Users and its own satisfaction function to maximize their own utility. In this design of offloading mechanisms in order to improve the overall offloading performance. Enhancing the limit is the essential impetus, which can be additionally arranged as far as postpone strategies. From administrators' and clients' point of view, likewise examine state-of-the-arts different impetuses of WiFi offloading, for example, cost minimization, vitality utilization sparing, and enhancing rate. Moreover, WiFi offloading plans that endeavor to upgrade congruity to manage visit interruption issues, are additionally researched, particularly for vehicular situations. At long last, future research bearings and difficulties for WiFi offloading methodologies are displayed in different motivating forces of WiFi offloading.
Index Terms— Wi-fi offloading, heterogeneous network, cost minimization
A standout amongst the most captivating difficulties for versatile administrators today is the means by which to deal with the exponential information movement increment. Versatile information offloading emerges as a promising and minimal effort answer to decrease the weight on the cell organize. To influence this conceivable, they require another half and half system worldview that use the presence of different elective correspondence channels. This involves critical changes in the way information is dealt with, influencing additionally the conduct of system conventions. In this theory, they introduce an extensive study of information offloading methods in cell systems and concentrate the fundamental prerequisites expected to incorporate information offloading capacities into the present versatile systems. They arrange existing methodologies into two primary classifications, as indicated by their prerequisites regarding content conveyance ensures: deferred and non-postponed offloading. They outline the specialized perspectives and examine the best in class in every classification . At long last, they portray in detail the novel functionalities expected to actualize versatile information offloading in the entrance arrange, as they as flow and future research challenges in the field, with an eye toward the outline of cross breed designs.
Worldwide versatile activity will blast in the years to come, because of the expanding notoriety of savy cell phones and the presentation of moderate information designs by cell administrators. Information hungry portable applications, for example, sound and video gushing, social sharing, or cloud-based administrations, are increasingly well known among clients. As the present most normal information get to technique progressing, cell systems are feeling the squeeze attempting to adapt to this extraordinary information over-burden. Rare authorized range impedes the RAN improvements. Directions enable versatile administrators to utilize just a little bit of the general radio range, which is additionally to a great degree cost. Clients must have a similar constrained remote assets . Movement past a specific point of confinement mines the execution and the nature of administration (QoS) seen by the clients. Amid crest times in swarmed metropolitan situations, clients as of now encounter long latencies, low throughput, and system blackouts because of blockage and over-burden at RAN level. Tragically, this pattern can just worsen in future due to the anticipated versatile information blast. The issue concerns principally organize administrators since they need to exchange off consumer loyalty with business gainfulness, given the pattern toward almost level rate plans of action. At the end of the day, the exponential increment in rush hour gridlock streaming in their RAN does not produce enough extra incomes to be distributed into additionally RAN overhauls. The previously mentioned conditions encouraged the enthusiasm for elective strategies to relieve the weight on the cell arrange. Portable administrators tackled this possibility by throttling association speed and topping information utilization. However, these practices adversely influence the consumer loyalty. Thus, elective methodologies developed. In this overview, they direct our concentration toward one of these arrangements, as of late drawing in expanding enthusiasm by the exploration network: versatile information offloading. An instinctive approach is to use the unused data transmission crosswise over various remote innovations. They consider versatile information offloading as the utilization of an integral remote innovation to exchange information initially focused to course through the cell arrange, with a specific end goal to enhance some key execution pointers. Despite the fact that offloading may apply to any system, ebb and flow scholastic and modern research for the most part worries with offloading information from cell systems.
With AGO instrument the MNO can get a high utility (income) because of the sale based the component, while with CGO system, VUs settle on offloading choices to augment their own particular utilities. By lessening the quantity of VUs fighting for the channel and organizing high Wi-Fi information rates, the dispute and execution irregularity issue of Wi-Fi can be lightened, and subsequently the offloading execution can be moved forward. A forecast strategy is created in view of Markov chain, which is essential for canny offloading basic leadership. With the future information about Wi-Fi offloading potential and access cost, VUs can figure the normal utilities, and settle on offloading choice as needs be to amplify their utilities . The proposed offloading instruments can be introduced in VUs' gadgets as an offloading motor to naturally and wisely offload VUs' cell traffic. VU’s may need to set their fulfillment in the first put and after that the offloading methodology is straightforward to clients. Through the usage of the offloading systems the cell arrange clog can be likewise relieved, making a win-win circumstance for both VUs and the MNO. In a vehicular domain, information offloading through Wi-Fi is artful because of restricted scope of Wi-Fi and high portability of vehicles. VUs continually postpone their applications to sit tight for Wi-Fi transmission openings. Be that as it may, in all actuality, considering the fulfillment of VUs as far as administration delay, such a system can scarcely fulfill VUs MNO sends the transporter Wi-Fi and hopes to offload however much versatile information traffic as could be expected and increment its income from the bearer Wi-Fi arrange. To enhance the general offloading execution. CGO instrument that can expand VU's utility. Decreasing the quantity of VUs battling for the channel. Organizing high Wi-Fi information rates. In this research, propose an enhanced Finite Horizon Markov Decision Process (FHMDP) to plan this issue, with expect to limit correspondence costs and fulfill defer imperatives by offloading portable information however much as could reasonably be expected with WiFi system and D2D correspondence. Markov choice process is a helpful model for successive basic leadership, where MNO needs to take an arrangement of activities. FHMDP is a Markov choice process with a limited number of choice ages. Since each datum conveyance undertaking ought to be done before a given due date, FHMDP will design information offloading choices at every choice phase.
II. RELATED WORK
A.An Integrated Performance for Mobile 3G Traffic Offloading Using Incentive Framework
In this research, they center around prosecutor the tradeoff wager the yen the measure of activity being disburden and the clients' fulfillment and propose a novel allurement system to stir clients to use their postpone resilience for movement disburden. Clients are cook with motivations; i.e., securing rebate for their administration charge on the off chance that they will sit tight longer for information downloading. Amid the deferral, some portion of the phone information movement might be artfully disburdened to different systems said above, and the client is guaranteed to get the stopping some portion of the information by means of cell organize when the postpone period closes. The ideal closeout result is dictated by considering both the defer resilience and offloading plausible of the clients to accomplish the base motivator cost, given an offloading target. The sale champs set up contracts deal with the system administrator for the postpone they pause and the coupon they acquire, and different clients definitely download information by means of sacred system at the first cost. All the more completely, the increase of the proposal is triple. To manage the issue of cell movement overpower, a few investigations propose to use DTNs to oversight offloading. It suggest a basic calculation, MixZones, to give the administrator a chance to advise clients to switch their interfaces for information enamoring from different associates when the astute DTN associations happen. Plan a structure, called Push-and-Track, which oblige numerous methodologies to decide what number of photo ought to be infused by cell organize and to whom, and afterward use DTNs to offload the activity. Han et al. give three straightforward calculations to misuse DTNs to encourage information dispersal among portable clients, to lessen the general cell movement. Numerous examination endeavors have concentrated on the most proficient method to enhance the culmination of information access in DTNs. In, the creators give hypothetical investigation to the stationary and transient administrations of information scattering. B.Performance Analysis of Mobile Data Offloading in Heterogeneous Networks
An exceptional increment in the versatile information movement volume has been as of late detailed because of the broad utilization of cell phones, tablets and PCs. This is a noteworthy worry for versatile system administrators, who are compelled to regularly work near their ability limits. As of late, unique arrangements have been proposed to defeat this issue. The arrangement of extra framework, the utilization of further developed advances (LTE), or offloading some activity through Femtocells and WiFi are a portion of the arrangements. Out of these, WiFi exhibits some key favorable circumstances, for example, its officially boundless organization and minimal effort. While advantages to administrators have just been archived, it is less clear how much and under what conditions the client picks up as they'll. Furthermore, the inexorably heterogeneous organization of cell systems (fractional 4G scope, little cells, and so on.) additionally muddles the 4photo with respect to both administrator and client related execution of information offloading. To this end, in this theory they propose a lining systematic model that can be utilized to comprehend the execution changes achievable by WiFibased Data offloading, as a component of WiFi accessibility and execution, client versatility and movement stack and the scope proportion and individual rates of various cell advances accessible. They approve our hypothesis against reenactments for sensible situations and parameters and give some underlying bits of knowledge with regards to the offloading increases expected practically speaking. A huge development in the versatile information movement has been accounted for. This expansion in rush hour gridlock request is because of a critical entrance of cell phones and tablets in the market, as they'll as they 2.0 and spilling applications which have high-transmission capacity prerequisites. C.A Survey on Mobile Data Offloading Technologies
In this research, they are propelled to introduce a far reaching review on the above ordered four classes of portable information offloading procedures and talk about the comparing open research issues. They audit the principle systems and give a far-reaching order of existing portable information offloading advancements. A considerable measure of creative innovations have developed to offload information and diminish the heap of cell systems, as they as increment the limit of cell systems. As appeared, the advances of versatile information offloading can be characterized into four classifications: information offloading through SCNs, information offloading through WiFi systems, information offloading through entrepreneurial portable systems, and information offloading through HetNets (or half and half information offloading). In the accompanying, they give a short presentation of the four portable information offloading advances. As of late, because of the expanding prominence of getting a charge out of different mixed media benefits on cell phones (e.g., cell phones, ipads and electronic tablets), the created portable information activity has been violently developing and has turned into a serve load on versatile system administrators. To address such a genuine test in portable systems, a viable approach is to oversee information movement by utilizing reciprocal advancements (e.g.,small cell organize, WiFi system, et cetera) to accomplish versatile information offloading. In this postulation, they talk about the ongoing advances in the procedures of portable information offloading. Especially, in light of the initiator assorted variety of information offloading, they arrange the current versatile information offloading innovations into four classes, i.e., information offloading through little cell systems, information offloading through WiFi systems, information offloading through sharp portable systems and information offloading through heterogeneous systems. D.Incentive driven LTE content distribution in VANETs In this research, propose a server helped key administration plot, where the server keeps up the companion association. Most existing methodologies that enhance the proficiency of substance downloading in vehicular systems, for example, depend on the collaboration among vehicles. How they've, bad conduct among the vehicle network roused by narrow minded expectations of sparing 3G/LTE data transfer capacity or vitality can seriously debase arrange execution. Henceforth systems are expected to authorize the participation among hubs in vehicular systems. Impetus plans, for example, and so on. Are proposed to uphold the participation of middle of the road hubs to forward bundles in VANETs or different remote systems. For the most part, motivation plans can be classified into two sorts, i.e., credit based plans and notoriety based plans. Credit based plans are embraced by where money related prizes/credits/tokens are dispensed/paid to the forwarders. E.Mobile Data Offloading: How Much Can WiFi Deliver This proposition introduces a quantitative report on the execution of 3G versatile information offloading through WiFi systems. They enlisted 97 iPhone clients from metropolitan zones and gathered measurements on their WiFi availability amid an over two there period in February 2010. Our follow driven reenactment utilizing the procured entire day follows demonstrates that WiFi as of now offloads around 65% of the aggregate versatile information activity and spares 55% of battery to their without utilizing any deferred transmission. On the off chance that information exchanges can be postponed with some due date until the point when clients enter a WiFi zone, significant additions can be accomplished just when the due date is genuinely bigger than several minutes. III. METHODOLOGY .Heterogeneous Networks
An expanding number of cell systems and WLAN exist together generally, while current cell phones are equipped for getting to both WiFi and cell systems. To make full utilization of numerous systems, it is critical to plan authorized and unlicensed groups well and help the UE incorporate its radio assets properly. Hence, the issue with respect to the concurrence of WiFi and cell systems have as of late pulled in the most consideration. Not at all like the past four ages, high information rate isn't the main primary element of 5G. Truth be told, 5G will demonstrate all the more new qualities, for example, bring down cost, bring down idleness, and lower vitality utilization contrasted with past ages . What's more, ultra-densification and high heterogeneity will be fundamental highlights of future portable correspondence frameworks. Additionally, not at all like customary cell correspondence frameworks, for example, LTE full scale cell systems, 5G will use each air interface, for example, WiFi and femtocell to guarantee high QoS and certification that clients can encounter pervasive, consistent, comprehensive remote administrations . Future portable correspondence systems ought to be pervasive, heterogeneous and IP-based, therefore 5G frameworks are required to take care of such issues. 5G frameworks will be merged while joining of various RATs must be executed . As it were, 5G must help the new 5G standard as well as be good with the past cell systems, WiFi and gadget to gadget (D2D) interchanges. For that, 5G frameworks must help D2D correspondences with the fast improvement of Internet of Things (IoT). The test for D2D correspondence is to give coordinate correspondence, low power, low rate yet dependably on line associations . To help scientists rapidly locate a particular report motivation in their inevitable research work around there, initially order the impetuses of WiFi offloading into five classes: limit, cost, vitality, rate and coherence. At that point, explore WiFi offloading methods as far as every motivating force of WiFi offloading. That is, consolidate the motivating forces of WiFi offloading with WiFi offloading methods. At that point they likewise introduce their mix qualities, separately. It particularly explore the most mainstream methods, for example, postponed offloading, and non-deferred offloading.
A stretch out person on foot situations to vehicular applications to meet the motivation of administration coherence. In the wake of showing a point by point depiction of the Drive through Internet and related promising convention issues, investigate how to manage the difficulties including vitality effectiveness, association foundation delays, and visit detachments. To indicate the possibilities of vehicular offloading, give some ongoing advances with respect to crafty offloading by means of multi-jump systems. Our propose a cross-breed offloading model, where various remote systems are utilized to exchange portable information. The formulate the data offloading a problem in hybrid wireless networks as an FHMDP model, and propose an offloading algorithm that can support different delay requirements (i.e., loose and tight delay tolerant). It proves that there exit threshold structures in the optimal policy and propose a monotone offloading algorithm for generating monotone policy with lower computational complexity. The simulation results demonstrate that our proposed schemes achieve the lowest communication cost as compared with three offloading schemes. To point out the potential approaches to improve the performance of WiFi offloading, propose ideas for future directions in the area, along with incentives. After I discuss the state-of-the-art trials and results of some experiments, present detailed comparisons and summarize the characteristics of key technologies for those potential approaches. From the administrators or client's point of view, examine additionally offloading plans as indicated by the impetus of cost, vitality and rate, separately. WiFi offloading plans, as indicated by the motivating force of cost, make its best to spare cost for cell administrators and additionally clients. A run of the mill issue is the tradeoff between cost, postponement, and limit. The techniques might be trial estimations, explanatory model, and improvement of savy calculations. The motivator of vitality is alluded to using different techniques for sparing vitality utilization for cell administrators as well as clients.
An ordinary issue is to use observational or hypothetical examination to explore the tradeoff between vitality utilization, limit, and clog. In this overview, extensively use the idea of rate to depict the execution of normal consummation time of requested information transmissions in WiFi offloading. It can decide the nature of administrations (QoS) specifically. Truth be told, a few factors together add to down to earth rate, for example, data transmission rate of a radio access organize, exchanging delay, functional load condition, and clog. IV. RESULT AND DISCUSSION
In this area, assess the execution of the proposed offloading systems through recreation LTE is considered to give full scope to the zone, while the WiFi APs are sent inside the region by the FHMDP, whose scope is constrained. The IEEE 802.11n standard is utilized, which can give information rates up to 65 Mbps at 2.4 GHz. Likewise I accept that VUs are supporters of the FHMDP arrange and pre authorized while getting to WiFi, which implies VUs can get to the WiFi without the tedious approval methodology. The road design and AP areas are appeared in Fig. 6, where every road fragment has two paths with the bidirectional vehicle activity. An utilize VANET Mobisim to create the portability hints of vehicles. Speed restrict is a set to 50 km/h. The vehicle portability is controlled by Intelligent Driver Model with Lane Changes demonstrate, in which vehicle speed depends on developments of vehicles in neighborhood. In the recreation, the cost to utilize cell arrange is set to χc = $2/Mb. It consider W = 5 MHz, and [θmin, θmin] = [0, 9]. The application measure S is arbitrarily browsed 200 Mb to 600 Mb, and set the fulfillment work as J(t) = χcS − αtβ. α decides the size of J(t), where a bigger α prompts a littler defer resistance. β > 2, β = 2 and β < 2 demonstrate that J(t) is inward, straight and curved, separately, as appeared in Fig. 3. Both closeout interim and deferring interim are set to 20 seconds. It utilize two existing offloading components for correlation. With fundamental Mobile Data Offloading (MDO) instrument, VUs continually postpone their applications to sit tight for WiFi transmission until the endured delay. The other one is offloading cellular Traffic (OCT) and EF component with which VUs utilize WiFi when WiFi is accessible, generally utilize the cell arrange. The recreation keeps running for 10 hours, and the outcomes are found the middle value of more than 8 runs. The execution of the proposed offloading technique regarding WiFi get to cost χw. Note that with FHMDP system, the WiFi get to cost is dictated by barters. It can be seen that both FHMDP and MOA instruments can offload significantly more cell movement than MDO and OCT. The slight change in the bend of mono-tone is because of the irregularity in the reproduction. At the point when χw expands, the aggregate activity offloaded likewise increments with heterogeneous utilized. This is on the grounds that when χw builds, more VUs utilize cell organize as opposed to WiFi, and higher WiFi information rates are wanted to accomplish a positive utility. In this manner, dispute and execution oddity issue are additionally reduced. The aggregate income of the MNO from the WiFi get to benefit it gives, which is the aggregate cost VUs pay to utilize WiFi.
It is especially essential to convey WiFi offloading plans to move a few information activities from cell systems to WiFi. Nonetheless, there are still a few difficulties that should be routed to increase WiFi offloading plans with different impetuses. An expanding number of research endeavors center around improving system choice plans, advancing agreeable instruments, deciding the best part information being offloaded, designating ideal APs to UEs, et cetera. For the accommodation of helping analysts locate this specific research fascinating and think about it further, order the best in class in this field into five classifications, considering diverse research points that can be tended to under this classification. They call this metric in our grouping as motivating force. These classes comprise of limit, cost, vitality, rate and congruity. Truth be told, limit is the most essential motivating force of WiFi offloading. That is likewise why WiFi offloading is required as far as the business and the scholarly community. From the administrators or clients point of view, additionally examine all the more offloading plans as indicated by the motivating forces of cost, vitality and rate, separately. In addition, distinguish an essential This postulation proposed a finite horizon markov decision process offloading model, where MNO can utilize WiFi system and D2D correspondence to offload versatile information of MS. They figured the versatile information offloading issue as a FHMDP and proposed a cross breed offloading calculation for postpone delicate and defer tolerant applications. Besides, settled adequate conditions for the presence of edges in monotone strategy and proposed a monotone offloading calculation which can decrease the computational multifaceted nature caused by extensive information measure and long due date. The re enactment comes about show that, contrasted with existing offloading plans, our proposed plans can accomplish insignificant information offloading expense and most extreme offloading proportion.
 E. M. R. Oliveira, and A. Carneiro, ―Routine-based network deployment,‖ in Proc. INFOCOM WKSHPS, May. 2014, pp. 183–184.
 P. Fuxjager, H. R. Fischer, I. Gojmerac, and P. Reichl, ―Radio resource allocation in urban femto-WiFi convergence scenarios,‖ in Proc. of EURO-NF Conference on Next Generation Internet (NGI), Jun. 2010, pp. 1–8.
 S. P. Thiagarajah, A. Ting, D. Chieng, and M.Y. Alias, ―User data rate enhancement using heterogeneous LTE-802.11n offloading in urban area,‖ in Proc. of ISWTA, 2013, Sept. 2013, pp. 11–16.
 A.R. Elsherif, and Wei-Peng Chen, A. Ito, and Zhi Ding, ―Adaptive small cell access of licensed and unlicensed bands,‖ in Proc. IEEE International Conference on Communications (ICC), Jun. 2013, pp. 6327–6332.
 JaYeong Kim, Nah-Oak Song, Byoung Hoon Jung, Hansung Leem, and Dan Keun Sung, ―Placement of WiFi access points for efficient WiFi offloading in an overlay network,‖ in Proc. Personal Indoor and
Mobile Radio Communications (PIMRC), Sept. 2013, pp. 3066–3070.
 Byoung Hoon Jung, Nah-Oak Song, and Dan Keun Sung, ―A NetworkAssisted User-Centric WiFi-Offloading Model for Maximizing PerUser Throughput in a Heterogeneous Network,‖ IEEE Transactions on Vehicular Technology, vol. 63, no. 4, pp. 1940–1945, Oct. 2013.
 L. G. U. Garcia, I. Rodriguez, D. Catania, and P. Mogensen, ―IEEE 802.11 Networks: A Simple Model Geared Towards Offloading Studies and Considerations on Future Small Cells,‖ in Proc. Vehicular Technology Conference (VTC Fall), Sept. 2013, pp. 1–6.
 Arghyadip Roy, and Abhay Karandikar, ―Optimal radio access technology selection policy for LTE-WiFi network,‖ in Proc. Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), May. 2015, pp. 291–298.
 O. Shoukry, M. Abd El-Mohsen, J. Tadrous, H. El Gamal, T. ElBatt, N. Wanas, Y. Elnakieb, and M. Khairy, ―Proactive scheduling for content pre-fetching in mobile networks,‖ in Proc. of IEEE International Conference on Communications (ICC), Jun. 2014, pp. 2848–2854.
 Nan Cheng, Ning Lu, Ning Zhang, and X. S. Shen, ―Opportunistic WiFi offloading in vehicular environment: A queueing analysis,‖ in Proc. IEEE Global Communications Conference (GLOBECOM), Dec. 2014, pp. 211–216.
 Aruna Balasubramanian, Ratul Mahajan, and Arun Venkataramani, ―Augmenting Mobile 3G Using WiFi,‖ in Proc. MobiSys’10, June. 2010, pp. 209–221.
 Kyunghan Lee, Joohyun Lee, Yung Yi, Injong Rhee, and Song Chong, ―Mobile Data Offloading: How Much Can WiFi Deliver,‖ IEEE Transactions on networking, vol. 21, no. 2, pp. 536–551, Apr. 2013.
 E. M. Mohamed, K. Sakaguchi, and S. Sampei, ―Delayed offloading zone associations using cloud cooperated heterogeneous networks,‖ in Proc. 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Mar. 2015, pp. 374–379.
 Da Zhang, and Chai Kiat Yeo, ―Optimal handing-back point in mobile data offloading,‖ in 2012 IEEE Vehicular Networking Conference (VNC), Nov. 2012, pp. 219–225.
 L. Hu, C. Coletti, N. Huan, I. Z. Kovacs, B. Vejlgaard, R. Irmert, and N. Scully, ―Realistic Indoor Wi-Fi and Femto Deployment Study as the Offloading Solution to LTE macro Network,‖ in Proc. IEEE Vehicular Technology Conference, pp. 1–6, Sept. 2012.
 Y.He, M. Chen, B. Ge, and M. Guizani, ―On WiFi Offloading in Heterogeneous Networks: Various Incentives and Trade-Off Strategies,‖ IEEE Communications Surveys & Tutorials (CST), vol. 18, no. 4, pp.2345-2385, 4th quarter, 2016.
 D. Suh, H. Ko, and S. Pack, ―Efficiency Analysis of WiFi Offloading Techniques,‖ IEEE Transactions on Vehicular Technology (TVT), vol. 65, no. 5, pp. 3462-3473, May. 2016.
 K. Lee, J. Lee, Y. Yi, I. Rhee, and S. Chong, ―Mobile data offloading: how much can WiFi deliver?,‖ in Proc. ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) 2010, Nov/Dec. 2010.
 A.Balasubramanian, R. Mahajan, and A. Venkataramani, ―Augmenting mobile 3G using WiFi,‖ in Proc. ACM International Conference on Mobile Systems, Application, and Service (MobiSys) 2010, Jun. 2010.
 F. Mehmeti and T. Spyropoulos, ―Is it worth to be patient? Analysis and Optimization of Delayed Mobile Data Offloading,‖ in Proc. IEEE International Conference on Computer Communications (INFOCOM) 2014, Apr/May. 2014.
 S. Cai, L. Duan, J. Wang, S. Zhou, and R. Zhang, ―Incentive Mechanism Design for Delayed WiFi Offloading,‖ in Proc. International Conference on Communications (ICC) 2015, Jun. 2015.