采用混合无线电/自由空间光学技术的高性价比回程设计

Ahmed Douik, H. Dahrouj, T. Al-Naffouri, Mohamed-Slim Alouini
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引用次数: 10

摘要

当前网络中数据速率的泛滥给回程网络设计带来了成本负担。开发具有成本效益的回程解决方案成为一个有趣但具有挑战性的问题。传统的回传网络技术包括射频回传(RF)或光纤(OF)。虽然与OF相比,RF是一种经济高效的解决方案,但它支持较低的数据速率要求。另一个有希望的回程解决方案是自由空间光学(FSO),它可能结合了高数据速率和相对较低的成本。然而,无线光通信对自然条件(例如,雨、雾、视线等)很敏感。因此,更可靠的替代方案是通过称为混合RF/FSO的混合结构将RF和FSO解决方案结合起来。考虑一个回程网络,其中基站(BS)可以通过OF或混合RF/FSO回程链路相互连接。本文解决了在连通性和数据速率约束下最小化回程规划成本的问题,从而在BSs之间选择合适的成本有效的回程类型(即,要么是of,要么是混合RF/FSO)。本文通过引入相应的规划图,运用图论技术解决了这一问题。结果表明,在对of和混合RF/FSO链路的成本给定的现实假设下,该问题等价于一个最大权值团问题,可以用中等复杂度求解。仿真结果表明,该方案具有接近最优的性能,特别是对于混合射频/FSO的实际价格而言。
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Cost-effective backhaul design using hybrid radio/free-space optical technology
The deluge of date rate in today's networks poses a cost burden on the backhaul network design. Developing cost efficient backhaul solutions becomes an interesting, yet challenging, problem. Traditional technologies for backhaul networks include either radio-frequency backhauls (RF) or optical fibres (OF). While RF is a cost-effective solution as compared to OF, it supports lower data rate requirements. Another promising backhaul solution that may combine both a high data rate and a relatively low cost is the free-space optics (FSO). FSO, however, is sensitive to nature conditions (e.g., rain, fog, line-ofsight, etc.). A more reliable alternative is, therefore, to combine RF and FSO solutions through a hybrid structure called hybrid RF/FSO. Consider a backhaul network, where the base-stations (BS) can be connected to each other either via OF or hybrid RF/FSO backhaul links. The paper addresses the problem of minimizing the cost of backhaul planning under connectivity and data rates constraints, so as to choose the appropriate costeffective backhaul type between BSs (i.e., either OF or hybrid RF/FSO). The paper solves the problem using graph theory techniques by introducing the corresponding planning graph. It shows that under a specified realistic assumption about the cost of OF and hybrid RF/FSO links, the problem is equivalent to a maximum weight clique problem, which can be solved with moderate complexity. Simulation results show that our proposed solution shows a close-to-optimal performance, especially for practical prices of the hybrid RF/FSO.
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