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Efficient Resource Allocation for Co-existing Multi-class Wireless Body Area Networks

机译:用于共存多级无线体积网络的高效资源分配

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Wireless body area networks (WBANs) are widely being used for continuous patient monitoring. Based on the health conditions, differential service must be provided to critical and normal users. In this paper, we consider coexistence of multi-class WBANs in two scenarios, namely, the indoor environment and hospital environment. A throughput maximization problem is formulated such that high priority is guaranteed to the critical users. Spatial TDMA (STDMA), which allows geographically distant users to transmit in the same resource block, is used as the access control scheme to improve the resource utilization efficiency. To further enhance the efficiency, we propose an uplink NOMA scheme which pairs non interfering user groups to transmit at different power levels in the same resource block. Column generation approach is used to find the solution, as the complexity of the problem increases with increase in the network size. Since the conventional method of solving the pricing problem of the column generation approach is time consuming, a genetic algorithm based approach is proposed, which provides near optimal solution in less amount of time.
机译:无线体积网络(WBANS)广泛用于连续患者监测。基于健康状况,必须向关键和普通用户提供差分服务。在本文中,我们考虑在两种情况下的多级WBANS共存,即室内环境和医院环境。构造吞吐量最大化问题,使得对关键用户保证高优先级。空间TDMA(STDMA)允许地理上遥远用户在相同资源块中传输,用​​作提高资源利用效率的访问控制方案。为了进一步提高效率,我们提出了一种上行链路NOMA方案,该上行链路NOMA方案对不干扰用户组来发送在相同资源块中的不同功率电平。列生成方法用于找到解决方案,因为问题的复杂性随着网络大小的增加而增加。由于求解列生成方法的定价问题的传统方法是耗时,因此提出了一种基于遗传算法的方法,在少量时间内提供了近最佳解决方案。

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