Abstract
The quality-of-service (QoS)/quality-of-experience (QoE) demands of mobile services are soaring and have overwhelmed the obsolescent capability of 3G and 4G cellular networks. The emerging 5G networks will bring an unprecedented promotion in transmission data rates. However, the satisfaction of some service requirements is still in dilemma, especially the end-to-end (E2E) latency which varies in different applications. Multi-access edge computing (MEC), a promising technology in 5G cellular networks, can provide ultra-low E2E latency and reduce traffic load on mobile backhaul networks. The potential benefits of MEC for 5G and beyond services have been explored by preliminary studies. What remains is the uncertainty of revenue from the investment of MEC which will shake operators' decisions about whether and how to deploy MEC in cellular networks. In this light, this paper designs a MEC-assisted 5G and beyond ecosystem inclusive of three players: private (local) telecom operators, backhaul, and cloud service owners. We propose a revenue maximization model for private (local) telecom operators and cloud service owners to minimize the cost from the end-user perspective while satisfying the latency requirement. The derived model indicates that two players' revenues can be maximized by optimizing MEC resources and backhaul capacity. The game-theoretic analyses also reveal the optimized hybrid strategy of MEC and cloud for efficient mobile traffic management.
Highlights
In modern societies, mobile communication services are ubiquitous
We previously proposed a revenue model for Multi-access edge computing (MEC) and analyzed the number of MEC that maximizes the revenue of private telecom operators [62], [63]
The possible range of the number of MEC NMEC and backhaul capacity NBH are observed through an extensive system level simulation
Summary
Mobile communication services are ubiquitous. Over recent years, mobile traffic in cellular networks has rapidly grown [1] due to mobile devices’ flourishment, e.g., Internet-of-Things (IoT) devices, and these applications, e.g., multimedia streaming, social networking, and healthcare. Mobile traffic is continuously increasing at an annual average of 46% and expects to reach 77 exabytes per month by 2022 [2]. To accommodate such growth of mobile data traffic, the fifth generation (5G) mobile communication system. Adopts the millimeter-wave (mmWave) frequency band higher than 24 GHz where rich spectrum resource is available to achieve ultra-high capacity [3]–[6]. The mmWave band, suffers from coverage shortfall due to the large path loss. A heterogeneous deployment of small cell mmWave networks onto sub-6GHz macro cells has been proposed [7]–[9] to take its advantages in 5G fully
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