Multi-Objective Topology Planning for Microwave-Based Wireless Backhaul Networks

Li, Yongcheng; Cai, Anliang; Qiao, Guangyi; Shi, Lei; Bose, Sanjay K.; Shen, Gangxiang

doi:10.1109/access.2016.2581187

Cited by 26 publications

(21 citation statements)

References 21 publications

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“…Moreover, it is easily verified that the proposed linear approximation satisfies the set of properties established in [58,Theorem 1] for smooth problems, i.e., tightness and globally lower bound properties. Together with the fact that the approximated problem at each step is solved to the optimality, it certifies a necessary convergence to a stationary point of the original non-convex problem (13). In this part, we evaluate the impact of the proposed designs in terms of the total network cost, benefiting from the FD capability at the wireless links, via numerical simulations 4 .…”

Section: ) Algorithm Initializationmentioning

confidence: 99%

“…A. Related works 1) Wireless backhaul planning: The efficient planning of a wireless access network has been the focus of several recent works [13]. In this regard, the first step is to determine the location and the required number of SCBS sites, considering the available resources from the operator, distribution of users, as well as the expected rate demands [45]- [47].…”

Section: Introductionmentioning

confidence: 99%

“…The problem of resource allocation and frequency planning arXiv:1801.06447v1 [cs.NI] 10 Jan 2018 for a network with a fixed topology is studied in [50], [51]. In the recent works [12], [13] a multi-objective design is considered, accounting for the impact of interference, delay, and system throughput. However, the aforementioned works are not yet extended for a joint frequency/topology wireless backhaul planning, which is essential for the scenarios with the high impact of interference, e.g., dense urban deployment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Environment-Aware Minimum-Cost Wireless Backhaul Network Planning With Full-Duplex Links

Taghizadeh

Sirvi

Narasimha

et al. 2019

IEEE Systems Journal

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In this work, we address the joint design of the wireless backhauling network topology as well as the frequency/power allocation on the wireless links, where nodes are capable of full-duplex (FD) operation. The proposed joint design enables the coexistence of multiple wireless links at the same channel, resulting in an enhanced spectral efficiency. Moreover, it enables the usage of FD capability when/where it is gainful. In this regard, a mixed-integer-linear-program (MILP) is proposed, aiming at a minimum cost design for the wireless backhaul network, considering the required rate demand at each base station. Moreover, a re-tunning algorithm is proposed which reacts to the slight changes in the network condition, e.g., channel attenuation or rate demand, by adjusting the transmit power at the wireless links. In this regard, a successive inner approximation (SIA)based design is proposed, where in each step a convex subproblem is solved. Numerical simulations show a reduction in the overall network cost via the utilization of the proposed designs, thanks to the coexistence of multiple wireless links on the same channel due to the FD capability.

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Section: ) Algorithm Initializationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Environment-Aware Minimum-Cost Wireless Backhaul Network Planning With Full-Duplex Links

Taghizadeh

Sirvi

Narasimha

et al. 2019

IEEE Systems Journal

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“…The algorithm can reduce energy consumption while meeting user traffic demands. Li et al [18] proposed an algorithm that can improve system efficiency by considering various aspects (i.e., link cross, small angle) of wireless backhaul networks. Moreover, these studies [19][20][21] also focused on wireless backhaul routing.…”

Section: Introductionmentioning

confidence: 99%

Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks

Zhao

Kuo

2020

Applied Sciences

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With the development of 5G communication, massive multiple input multiple output (MIMO) technology is getting more and more attention. Massive MIMO uses a large amount of simultaneous transmitting and receiving antennas to reduce power consumption and raise the level of transmission quality. Meanwhile, the diversification of user equipment (UE) in the 5G environment also makes heterogeneous networks (HetNets) more prevalent. HetNets allow UE of different network standards to access small cells, while the base stations of small cells access a macro base station (BS) to form a multihop wireless heterogeneous backhaul network. However, how to effectively combine these two technologies by efficiently allocating the antennas of each BS during the route construction process of heterogeneous wireless backhaul networks is still an important issue that is yet to be solved. In this paper, we propose an algorithm called preallocated sequential routing (PSR). Based on the links’ channel conditions and the available antennas and location of BSs, it builds a wireless heterogeneous network backhaul topology and adjusts each link’s transmitting and receiving antennas to maximize total utility. Simulation results showed that the proposed algorithm significantly improved the overall utility and the utility of the outer area of heterogeneous networks.

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“…1) In traditional network cost models, the gateway was fixed and the cost of wireless backhaul network was optimized by the interference management in wireless links [21]. To avoid the performance loss due to the single objective optimization, the multiple performance aspects were formulated and optimized with a variety of system constraints in the microwave-based wireless backhaul network [22], [23]. To balance the wireless backhaul traffic in multiple gateways, we propose a cost efficiency model for 5G wireless backhaul networks considering multiple gateways deployment and millimeter- wave MIMO channel conditions.…”

Section: Introductionmentioning

confidence: 99%

Cost Efficiency Optimization of 5G Wireless Backhaul Networks

Mao

et al. 2019

IEEE Trans. on Mobile Comput.

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The wireless backhaul network provides an attractive solution for the urban deployment of fifth generation (5G) wireless networks that enables future ultra dense small cell networks to meet the everincreasing user demands. Optimal deployment and management of 5G wireless backhaul networks is an interesting and challenging issue. In this paper we propose the optimal gateways deployment and wireless backhaul route schemes to maximize the cost efficiency of 5G wireless backhaul networks. In generally, the changes of gateways deployment and wireless backhaul route are presented in different time scales. Specifically, the number and locations of gateways are optimized in the long time scale of 5G wireless backhaul networks. The wireless backhaul routings are optimized in the short time scale of 5G wireless backhaul networks considering the time-variant over wireless channels. Numerical results show the gateways and wireless backhaul route optimization significantly increases the cost efficiency of 5G wireless backhaul networks. Moreover, the cost efficiency of proposed optimization algorithm is better than that of conventional and most widely used shortest path (SP) and Bellman-Ford (BF) algorithms in 5G wireless backhaul networks.

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Multi-Objective Topology Planning for Microwave-Based Wireless Backhaul Networks

Cited by 26 publications

References 21 publications

Environment-Aware Minimum-Cost Wireless Backhaul Network Planning With Full-Duplex Links

Environment-Aware Minimum-Cost Wireless Backhaul Network Planning With Full-Duplex Links

Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks

Cost Efficiency Optimization of 5G Wireless Backhaul Networks

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