Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach (1211.2065v1)

Abstract: Peer-to-peer communication has been recently considered as a popular issue for local area services. An innovative resource allocation scheme is proposed to improve the performance of mobile peer-to-peer, i.e., device-to-device (D2D), communications as an underlay in the downlink (DL) cellular networks. To optimize the system sum rate over the resource sharing of both D2D and cellular modes, we introduce a reverse iterative combinatorial auction as the allocation mechanism. In the auction, all the spectrum resources are considered as a set of resource units, which as bidders compete to obtain business while the packages of the D2D pairs are auctioned off as goods in each auction round. We first formulate the valuation of each resource unit, as a basis of the proposed auction. And then a detailed non-monotonic descending price auction algorithm is explained depending on the utility function that accounts for the channel gain from D2D and the costs for the system. Further, we prove that the proposed auction-based scheme is cheat-proof, and converges in a finite number of iteration rounds. We explain non-monotonicity in the price update process and show lower complexity compared to a traditional combinatorial allocation. The simulation results demonstrate that the algorithm efficiently leads to a good performance on the system sum rate.

• The paper introduces a reverse iterative combinatorial auction mechanism to maximize system sum rates in D2D underlay communications.
• It formulates valuation and utility functions to strategically optimize channel efficiency.
• Simulation results demonstrate near-optimal performance with reduced complexity and cheat-proof properties suitable for real-world applications.

Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems

This paper addresses the resource allocation challenge in device-to-device (D2D) communication underlaying a cellular network framework by proposing an innovative reverse iterative combinatorial auction (I-CA) method. This model aims to optimize the total system sum rate by efficiently managing the resource sharing between D2D and traditional cellular modes.

Key Contributions

1. Reverse Iterative Combinatorial Auction Mechanism: The authors introduce a novel auction-based resource allocation mechanism to effectively distribute spectrum resources. The reverse I-CA is utilized to maximize the system sum rate, treating cellular resources as bidders competing for D2D communication packages.
2. Valuation and Utility Function Formulation: The paper formulates a valuation model which quantifies the resource units' contribution to the channel's efficiency, enabling the optimization of channel rates through strategic resource allocation.
3. Complexity Reduction and Cheat-Proof Properties: The proposed auction schema is designed to be cheat-proof and converges in a finite number of iterations, offering lower complexity compared to conventional combinatorial allocation methods.

Numerical Results and Analysis

Simulation results demonstrate that the proposed allocation algorithm significantly enhances system sum rates compared to random allocation. The approach achieves near-optimal performance, with a notable increase in efficiency as the number of D2D pairs and available resources increases. The auction mechanism allows for reductions in computational complexity while maintaining high efficiency across varying user and resource parameters.

Implications and Future Directions

This work implicates notable advances in resource management within D2D underlay networks, emphasizing the potential for combinatorial auctions in tackling complex allocation problems in communication systems. The reduced overhead of the methodology, combined with high allocation efficiency, highlights its feasibility for real-world applications.

Future research directions could involve extending the scheme to multi-cell scenarios, integrating adaptive pricing strategies, or exploring other resource-sharing constraints beyond interference reduction. This offering provides a significant step toward efficient resource management in emerging cellular networks, where D2D communication plays a critical role in enhancing overall spectral efficiency.