Energy-Efficient Resource Allocation in Wireless Networks: An Overview of Game-Theoretic Approaches

An overview of game-theoretic approaches to energy-efficient resource allocation in wireless networks is presented. Focusing on multiple-access networks, it is demonstrated that game theory can be used as an effective tool to study resource allocation in wireless networks with quality-of-service (QoS) constraints. A family of non-cooperative (distributed) games is presented in which each user seeks to choose a strategy that maximizes its own utility while satisfying its QoS requirements. The utility function considered here measures the number of reliable bits that are transmitted per joule of energy consumed and, hence, is particulary suitable for energy-constrained networks. The actions available to each user in trying to maximize its own utility are at least the choice of the transmit power and, depending on the situation, the user may also be able to choose its transmission rate, modulation, packet size, multiuser receiver, multi-antenna processing algorithm, or carrier allocation strategy. The best-response strategy and Nash equilibrium for each game is presented. Using this game-theoretic framework, the effects of power control, rate control, modulation, temporal and spatial signal processing, carrier allocation strategy and delay QoS constraints on energy efficiency and network capacity are quantified.Comment: To appear in the IEEE Signal Processing Magazine: Special Issue on Resource-Constrained Signal Processing, Communications and Networking, May 200

Application of unmanned aerial vehicles for the organization of wireless 5G networks in the system of a smart city

This article illustrates ways to solve problems in the field of urban management with using modern 5G wireless networks. We have provided an overview of UAV-aided wireless communications, highlighting the key design considerations as well as the new opportunities to be exploited. Object of analysis is the communication process of a large number of distributed users. Subject of analysis is data transmission capacity, sufficient for stable communication of users and most services, taking into account the mobility of a huge number of users. We have gave examples on UAV-aided wireless communications with the help of three use cases: UAV-aided ubiquitous coverage, UAV-aided relaying, and UAV-aided information dissemination. Furthermore, the key design considerations for UAV communications, energy consumption by the UAVs have also been discussed. Lastly, we have highlighted two key performance enhancing techniques by utilizing UAV controlled mobility

Application of unmanned aerial vehicles for the organization of wireless 5G networks in the system of a smart city

This article illustrates ways to solve problems in the field of urban management with using modern 5G wireless networks. We have provided an overview of UAV-aided wireless communications, highlighting the key design considerations as well as the new opportunities to be exploited. Object of analysis is the communication process of a large number of distributed users. Subject of analysis is data transmission capacity, sufficient for stable communication of users and most services, taking into account the mobility of a huge number of users. We have gave examples on UAV-aided wireless communications with the help of three use cases: UAV-aided ubiquitous coverage, UAV-aided relaying, and UAV-aided information dissemination. Furthermore, the key design considerations for UAV communications, energy consumption by the UAVs have also been discussed. Lastly, we have highlighted two key performance enhancing techniques by utilizing UAV controlled mobility

Massive Access for Future Wireless Communication Systems

Multiple access technology played an important role in wireless communication in the last decades: it increases the capacity of the channel and allows different users to access the system simultaneously. However, the conventional multiple access technology, as originally designed for current human-centric wireless networks, is not scalable for future machine-centric wireless networks. Massive access (studied in the literature under such names as massive-device multiple access, unsourced massive random access, massive connectivity, massive machine-type communication, and many-access channels) exhibits a clean break with current networks by potentially supporting millions of devices in each cellular network. The tremendous growth in the number of connected devices requires a fundamental rethinking of the conventional multiple access technologies in favor of new schemes suited for massive random access. Among the many new challenges arising in this setting, the most relevant are: the fundamental limits of communication from a massive number of bursty devices transmitting simultaneously with short packets, the design of low complexity and energy-efficient massive access coding and communication schemes, efficient methods for the detection of a relatively small number of active users among a large number of potential user devices with sporadic transmission pattern, and the integration of massive access with massive MIMO and other important wireless communication technologies. This paper presents an overview of the concept of massive access wireless communication and of the contemporary research on this important topic.Comment: A short version has been accepted by IEEE Wireless Communication