Wireless Communications and Mobile Computing
© John Wiley & Sons Ltd
Edited By: Mohsen Guizani
Impact Factor: 0.858
ISI Journal Citation Reports © Ranking: 2014: 46/77 (Telecommunications); 87/139 (Computer Science Information Systems); 157/249 (Engineering Electrical & Electronic)
Online ISSN: 1530-8677
Wireless Communications and Mobile Computing
Presenting comprehensive coverage of this fast moving field, Wireless Communications and Mobile Computing provides the R&D communities working in academia and the telecommunications and networking industries with a forum for sharing research and ideas.
The convergence of wireless communications and mobile computing is bringing together two areas of immense growth and innovation. This is reflected throughout the journal by strongly focusing on new trends, developments, emerging technologies and new industrial standards.
Under the guidance of an international editorial and advisory board drawn from academia and industry, this high quality, peer-reviewed journal, provides leading edge coverage of the opportunities and challenges driving the research and development of mobile communication systems.
Recently Published Articles
- Unsupervised learning of indoor localization based on received signal strength
Li Li, Wang Yang, Md Zakirul Alam Bhuiyan and Guojun Wang
Version of Record online: 18 MAY 2016 | DOI: 10.1002/wcm.2678
For indoor localization based on received signal strength, we model and accommodate both range-based and range-free algorithms with a semidefinite programming method. This unsupervised learning algorithm provides improved localization accuracy by combining a hierarchical Bayesian hidden Markov model and a particle filter. We also simplify the global optimization problem of unsupervised learning using a single initial hyperparameter.
- CAPR: context-aware participant recruitment mechanism in mobile crowdsourcing
Hongli Zhang, Zhikai Xu, Xiaojiang Du, Zhigang Zhou and Jiantao Shi
Version of Record online: 16 MAY 2016 | DOI: 10.1002/wcm.2675
This paper addressed the participant recruiment problem in mobile crowdsoucing. We first introduce a double-sided combinatorial auction model to describe the interactions between the requesters and mobile users from the perspective of supply and demand. Then we propose a context-aware participant recruitment mechanism in which the SP dynamically adjust the recruitment mechanism depending on the ratio between the requesters and mobile users.
- Evolutionary non-cooperative spectrum sharing game: long-term coexistence for collocated cognitive radio networks†
Muhammad Faisal Amjad, Mainak Chatterjee, Omar Nakhila and Cliff C. Zou
Version of Record online: 11 MAY 2016 | DOI: 10.1002/wcm.2674
In this paper, we analyze the coexistence of cognitive radio networks with heterogeneous spectrum as an evolutionary anti-coordination spectrum sharing game. We derive the evolutionarily stable strategy of the game by proving that it cannot be invaded by a greedy strategy. We also derive the replicator dynamics of the proposed evolutionary game, a mechanism with which players can learn from their payoff outcomes of strategic interactions and modify their strategies at every stage of the game and subsequently converge to evolutionarily stable strategy.
- Spectral and energy efficient cognitive radio-aided heterogeneous cellular network with uplink power adaptation
Wuchen Tang, Muhammad Z. Shakir, Muhammad A. Imran, Rahim Tafazolli, Khalid A. Qaraqe and Jiasong Wang
Version of Record online: 10 MAY 2016 | DOI: 10.1002/wcm.2673
In this work, we analyze and enhance the energy efficiency and throughput of smart devices in a cognitive radio-aided heterogeneous cellular network based on the frame structure optimization, which consists of variable sensing and data transmission slots. The behavior of the adaptive power control to the achievable energy efficiency has been investigated. It has been found that uplink power control may lead to decrease in energy efficiency of heterogeneous cellular networks (in very low-signal-to-noise ratio regime).
- A game theoretic approach for energy-efficient communications in multi-hop cognitive radio networks
Zhihui Shu, Yi Qian, Yaoqing (Lamar) Yang and Hamid Sharif
Version of Record online: 14 MAR 2016 | DOI: 10.1002/wcm.2672
In multi-hop cognitive radio networks, it is a challenge to improve the energy efficiency of the radio nodes. To address this challenge, in this paper, we propose a two-level Stackelberg game model, where the primary users and the secondary users act as the leaders and the followers, respectively. Based on the game model, our proposed scheme solves the power allocation problem for secondary users while taking into account the price of spectrum.