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Optimal Resource Allocations for Mobile Data Offloading via Dual-Connectivity
- Source :
- IEEE Transactions on Mobile Computing. 17:2349-2365
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- The rapid growth of mobile traffic has heavily overloaded the cellular networks, making it increasingly desirable to offload mobile users’ (MUs’) traffic to small-cell networks. In this paper, we study the MUs’ optimal uplink traffic offloading scheme based on the new paradigm of small-cell dual-connectivity (DC). Through DC, an MU can flexibly schedule its traffic between a macro-cell base station (BS) and a small-cell access point (AP) via two different radio interfaces. To optimize the overall network radio resource usage, we jointly optimize the BS’ bandwidth allocation as well as the MUs’ traffic scheduling and power allocation. Specifically, for reducing the bandwidth usage, the BS prefers to allocate the MUs small amount of bandwidth to encourage the MUs to utilize the small-cell networks. However, excessive traffic offloading can lead to severe interferences among MUs, which increase the MUs’ power consumption. Hence, our joint optimization strikes a proper balance between these two aspects. Despite the non-convexity of the proposed joint optimization problem, we propose an efficient algorithm to compute the optimal offloading solution. The key idea is to exploit the layered-structure of the joint optimization problem, and decompose it into the BS’ bandwidth allocation problem (on the top-level) and the MUs’ traffic scheduling and power allocation problem (as a subproblem). Such a decomposition enables us to exploit the hidden convexity of the MUs’ problem and the monotonic structure of the BS’ problem for an effective algorithm design. Numerical results show that our proposed algorithm can achieve the global optimum solution with significantly reduced computational time. Moreover, the proposed traffic offloading scheme can significantly reduce the overall system cost, in comparison with using the fixed bandwidth allocation or traffic scheduling schemes.
- Subjects :
- Optimization problem
Channel allocation schemes
Computer Networks and Communications
business.industry
Computer science
05 social sciences
050801 communication & media studies
020206 networking & telecommunications
02 engineering and technology
Scheduling (computing)
Base station
0508 media and communications
Bandwidth allocation
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Resource allocation
Resource management
Small cell
Electrical and Electronic Engineering
business
Mobile data offloading
Software
Computer network
Subjects
Details
- ISSN :
- 21619875 and 15361233
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Mobile Computing
- Accession number :
- edsair.doi...........9ed8aa7a11c55a9554f587a462c80e5f