2,253 research outputs found
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
Medium access control protocol design for wireless communications and networks review
Medium access control (MAC) protocol design plays a crucial role to increase the performance of wireless communications and networks. The channel access mechanism is provided by MAC layer to share the medium by multiple stations. Different types of wireless networks have different design requirements such as throughput, delay, power consumption, fairness, reliability, and network density, therefore, MAC protocol for these networks must satisfy their requirements. In this work, we proposed two multiplexing methods for modern wireless networks: Massive multiple-input-multiple-output (MIMO) and power domain non-orthogonal multiple access (PD-NOMA). The first research method namely Massive MIMO uses a massive number of antenna elements to improve both spectral efficiency and energy efficiency. On the other hand, the second research method (PD-NOMA) allows multiple non-orthogonal signals to share the same orthogonal resources by allocating different power level for each station. PD-NOMA has a better spectral efficiency over the orthogonal multiple access methods. A review of previous works regarding the MAC design for different wireless networks is classified based on different categories. The main contribution of this research work is to show the importance of the MAC design with added optimal functionalities to improve the spectral and energy efficiencies of the wireless networks
Optimal Resource Allocation and Relay Selection in Bandwidth Exchange Based Cooperative Forwarding
In this paper, we investigate joint optimal relay selection and resource
allocation under bandwidth exchange (BE) enabled incentivized cooperative
forwarding in wireless networks. We consider an autonomous network where N
nodes transmit data in the uplink to an access point (AP) / base station (BS).
We consider the scenario where each node gets an initial amount (equal, optimal
based on direct path or arbitrary) of bandwidth, and uses this bandwidth as a
flexible incentive for two hop relaying. We focus on alpha-fair network utility
maximization (NUM) and outage reduction in this environment. Our contribution
is two-fold. First, we propose an incentivized forwarding based resource
allocation algorithm which maximizes the global utility while preserving the
initial utility of each cooperative node. Second, defining the link weight of
each relay pair as the utility gain due to cooperation (over noncooperation),
we show that the optimal relay selection in alpha-fair NUM reduces to the
maximum weighted matching (MWM) problem in a non-bipartite graph. Numerical
results show that the proposed algorithms provide 20- 25% gain in spectral
efficiency and 90-98% reduction in outage probability.Comment: 8 pages, 7 figure
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