Abstract
Abstract The explosive growth of mobile data traffic and the shortage of the available spectral resources have created new challenges for future cellular networks. In particular, resource management in heterogeneous network environment has become a critical issue. In this paper, we propose software-defined networking (SDN)-based resource management algorithms for future cellular network. Specifically, in this work, we have a threefold objective: i) alleviate spectrum shortage concerns by efficiently offloading traffic over the Wi-Fi network, ii) address network congestion by optimally balancing loads across multiple cells and iii) achieve the aforementioned objectives while taking network conditions and the end user quality-of-service (QoS) requirements into consideration. To this end, we present SDN-based partial data offloading and load balancing algorithms. The proposed algorithms exploit an SDN controller’s global view of the network and take optimized resource allocation decisions. We analyze the performance of the proposed algorithms under realistic network model. Moreover, we also present an analytical framework to quantify the delay incurred due to the SDN-based data processing and forwarding. Our analysis and system-level simulations show that the proposed load balancing algorithm significantly improves the equilibrium extent and network stability as compared to the baseline algorithms. On the other hand, the proposed partial data offloading algorithm is shown to satisfy end user’s quality-of-service while saving a significant amount of cellular resources.
Highlights
Over the last decade, cellular networks have witnessed an unprecedented growth in mobile data traffic, mainly due to the explosive development of smart and media-rich mobile devices
The algorithm used to select the appropriate flows for offloading works are explained below: Step 1) The offload manager (OM) collects the traffic flow requirements of all the users within the Wi-Fi area and calculates the resources required by each existing user
The delay D1 can be written as returning from the controller is very small as compared to the size of the data buffered in the queue, i.e., controller returns only a single packet at a given time instance while the traffic at switch arrives in the form of multiple flows containing a large number of data packets
Summary
Cellular networks have witnessed an unprecedented growth in mobile data traffic, mainly due to the explosive development of smart and media-rich mobile devices. We propose SDN-based partial data offloading and load balancing algorithms to alleviate spectrum shortage concerns and to address the network congestion issues. Note that the following proposed algorithms are based on a pre-condition that the cellular operator owns the Wi-Fi APs or there are mutual agreements between them In this way, Wi-Fi resources are available to release cellular network burden, and all the cell loads are collected and monitored in load balancing procedure. The algorithm used to select the appropriate flows for offloading works are explained below: Step 1) The OM collects the traffic flow requirements of all the users within the Wi-Fi area and calculates the resources required by each existing user (notice that with SDN, the operator can incorporate various functionalities in the OM to collect required information from users). Based on the value of Vs, OM decides between partial and total offloading, as shown in Algorithm 1
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