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Energy-efficient self-backhauling in heterogeneous wireless networks: A game-theoretic approach

机译:异构无线网络中的高能效自我回传:一种博弈论方法

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Heterogeneous wireless networks are seen as the most promising approach to improve coverage and capacity in wireless networks. However, one key challenge is the presence of wireless backhaul links whose resources must be jointly allocated with those of the radio access network. In this paper, a novel approach for energy-efficient joint backhaul and radio resource allocation in a two tier small cell network is proposed. The problem is formulated as a Stackelberg game, in which the macro base station (MBS) acts as the leader and the overlaid pico base stations (PBSs) act as followers. In this game, the MBS maximizes its sum-rate transmission by properly allocating the subcarriers over the backhaul links and the PBSs seek to maximize their energy efficiency by allocating the resources under maximum allowable transmit power constraint. A self-backhauling model, in which the access and the backhaul links share the same wireless channel is adopted. An orthogonal frequency allocation between the backhaul and the access links is used, in which the subcarrier allocation over the backhaul and the access links are modeled in the leader’s and followers’ optimization problems, respectively. Furthermore, the optimal transmission power of the PBSs derived for the followers’ game. The energy efficiency improvement problem in the followers’ side is transformed to a subtractive form, which enables the derivation of an efficient iterative subcarrier and power allocation algorithm. Furthermore, the uniqueness of the strategies and convergence of iterative power update algorithm to the Stackelberg equilibrium point are investigated. Simulation results show that the proposed game-theoretic approach yields up to 147% and125.9%energy efficiency improvement.
机译:异构无线网络被视为提高无线网络覆盖范围和容量的最有前途的方法。然而,一个关键的挑战是无线回程链路的存在,其资源必须与无线电接入网的资源共同分配。本文提出了一种在两层小型蜂窝网络中进行节能联合回程和无线资源分配的新方法。该问题被表述为Stackelberg游戏,其中宏基站(MBS)充当领导者,重叠的微微基站(PBS)充当跟随者。在此游戏中,MBS通过在回程链路上正确分配子载波来最大化其总速率传输,而PBS则通过在最大允许发射功率约束下分配资源来寻求最大化其能量效率。采用自我回程模型,其中访问和回程链路共享同一无线信道。使用回程和接入链路之间的正交频率分配,其中回程和接入链路上的子载波分配分别在领导者和跟随者的优化问题中建模。此外,针对追随者的游戏而得出的PBS的最佳传输功率。追随者方面的能源效率改善问题被转换为减法形式,从而可以推导高效的迭代子载波和功率分配算法。此外,研究了策略的唯一性以及迭代功率更新算法在Stackelberg平衡点上的收敛性。仿真结果表明,所提出的博弈论方法可将能源效率提高多达147%和125.9%。

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