Economics and Optimizations in Wireless Communication Networks

Lingjie Duan, Fei Richard Yu, Lin Gao
2016 Mobile Information Systems  
Wireless communication networks have evolved over time to highly complex and large-scale systems and are often operated by various decentralized network entities. Along with this evolution, traditional centralized control techniques with pure engineering concerns no longer apply due to the lack of economic design to reconcile the conflict of interest or even competition among selfish network entities. Economic incentive is also needed when emerging communication architectures require
more » ... among various network entities to share limited resources (e.g., spectrum and energy) or expensive infrastructure (e.g., cellular-WiFi networks). This special issue aims to bring together state-of-theart research contributions on the application of economic and game-theoretic models and principles to address challenges in the deployment and optimization of communication networks and services. Potential topics of this special issue include 5G communication systems, green communications, dynamic spectrum access, cooperative communications, cellular-WiFi networks, mobile social networks, mobile crowdsourcing, mobile cloud computing systems, mobile video caching and distribution, wireless virtualization, and game theory in communications, networking, and services. We received a total of 22 submissions, and after two rounds of rigorous review, 9 papers were accepted. In the first paper "Fairness-Aware and Energy Efficiency Resource Allocation in Multiuser OFDM Relaying System," G. Liang et al. propose a fairness-aware resource allocation scheme for an energy-efficient communication in a cooperative orthogonal frequency division multiple (OFDM) network based on jointly optimizing the subcarrier pairing, channel-user assignment, and power allocation. In contrast to the traditional relay-based OFDM networks, in the second phase, the source is allowed to retransmit the same signal in the first phase, further improving the system capacity performance. In the paper "Minimizing the Average Waiting Time of Unequal-Size Data Items in a Mobile Computing Environment," J.-Y. Wang studies how to minimize the waiting time for mobile computing customers, given the limited resources, and proposes near-optimal solutions to ensure service quality and computation speed. In the paper "Coordinated Precoding for D2D Communications Underlay Uplink MIMO Cellular Networks," B. Fang et al. study the coordinated precoding problem for device-to-device (D2D) communications underlaying multiple-input multiple-output (MIMO) cellular networks. The system model considered here consists of multiple D2D user pairs attempting to share the uplink radio resources of a cellular network. Authors first formulate the coordinated precoding problem for the D2D user pairs as a sum-rate maximization (SRM) problem, which is nonconvex in general, and then reformulate it as a difference convex-(DC-) type programming problem, which can be iteratively solved by employing the famous successive convex approximation (SCA) method. By introducing a price based interference management mechanism, authors further reformulate the coordinated precoding problem as a Stackelberg game. Then, a distributed precoding algorithm is developed based on the concept of Stackelberg equilibrium (SE). In the paper "Optimal Network QoS over the Internet of Vehicles for E-Health Applications," D. Lin et al. looked at the wireless technology problem to support ubiquitous
doi:10.1155/2016/6172094 fatcat:qbgqhyouljdhbgf6kstenxnvty