Distributed Resource Allocation Using Iterative Combinatorial Auction for Device-to-Device Underlay Cellular Networks

Distributed Resource Allocation Using Iterative Combinatorial Auction for Device-to-Device Underlay Cellular Networks

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Device-to-Device communications underlaying cellular networks have great potential to provide a significant improvement in network performance. It allows better resource utilization, increases user throughput and extends the battery life of user equipment compared the conventional cellular network. The fundamental challenge in D2D communications is how to allocate spectral bands and control transmission power optimally, in order to ensure the quality of service (QoS) and increase the energy efficiency. This problem is mixed integer non-linear programming (MINLP) due to the discrete variables. In this paper, we consider the joint power control and channel allocation for underlying D2D communications. We formulated the optimization problem in the form of an iterative combinatorial auction. The proposed algorithm is designed with two rounds. In the first round, each bidder submits its offer for each channel. In the second round, the goal is to improve the results obtained in the first round by considering the interference received from other users. The system power consumption and network lifetime were evaluated through simulations.

Keyword:

Device-to-Device communications

resource allocation

power control

iterative combinatorial auction

energy efficiency

Distributed Resource Allocation Using Iterative Combinatorial Auction for Device-to-Device Underlay Cellular Networks

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