Optimal Design of Energy- and Spectral- Efficient Wireless Backhaul Hetnets: Joint Load Balancing and Interference Management

Huang, Bo; Ai, Guo

doi:10.1109/access.2018.2879610

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…A MOP approach to maximize the throughput of a cognitive radio network with multiple secondary users using interference efficiency with ergodic sum-rate of the cognitive users is described in [13]. Optimizing the SE-EE tradeoff with green energy evaluation framework for wireless backhaul heterogeneous networks by jointing the load balancing and interference management is studied in [14]. Energy-spectral efficiency tradeoff in simultaneous wireless information and power transfer system is presented in [15].…”

Section: Introductionmentioning

confidence: 99%

Weighted Tradeoff Between Spectral Efficiency and Energy Efficiency in Energy Harvesting Systems

Siddiqui

Musavian

Aı̈ssa

et al. 2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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This paper proposes a new power allocation scheme to jointly optimize energy efficiency (EE) and spectral efficiency (SE) of a point-to-point communication system in which the transmitter is equipped with fixed as well as energy harvesting batteries. Time switching protocol is used such that in each time frame the node either harvests energy or transmits information. Firstly, a multi-objective optimization problem which jointly optimizes EE and SE is formulated. An importance weight parameter is introduced to control the priority level between EE and SE. Secondly, the multi-objective problem is transformed into a singleobjective optimization problem by using importance weight, and then solved through fractional programming. Using the Karush-Kuhn-Tucker conditions, the optimum power allocation scheme without input power constraint is developed. The ensuing solution is then generalized for system operation with average input power constraint. Closed-form expressions are derived and tested through simulations. Numerical results results are provided, and show the impact of the harvested power in improving the overall rate of the system. Also investigation is done to analyze the effect of system parameters on the achievable trade-off performance of the energy-harvesting based system.

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Section: Introductionmentioning

confidence: 99%

Weighted Tradeoff Between Spectral Efficiency and Energy Efficiency in Energy Harvesting Systems

Siddiqui

Musavian

Aı̈ssa

et al. 2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Energy Efficient User Association, Power, and Flow Control in Millimeter Wave Backhaul Heterogeneous Networks

Aboagye

Ibrahim

Ngatched

2020

IEEE Open J. Commun. Soc.

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This paper studies the problem of energy efficiency (EE) maximization via user association, power, and backhaul (BH) flow control in the downlink of millimeter wave BH heterogeneous networks. This problem is mathematically formulated as a mixed-integer non-linear program, which is non-convex. To get a tractable solution, the initial problem is separated into two sub-problems and optimized sequentially. The first is a joint user association and power control sub-problem for the access network (AN) (AN sub-problem). The second is a joint flow and power control sub-problem for the BH network (BH sub-problem). While the BH sub-problem is a convex optimization problem and hence can be efficiently solved, the AN sub-problem assumes the form of a generalized assignment problem, which is known to be NP-hard. To that end, we utilize Lagrangian decomposition to propose two polynomial time solution techniques that obtain a high-quality solution for the AN sub-problem. The first, referred to as Technique A, uses dynamic programming, the subgradient method, and a heuristic. The second, named Technique B, uses the multiplier adjustment method, the sorting algorithm, and a heuristic. Simulation results are used to demonstrate the effectiveness of the proposed energy efficient user association, power, and BH flow control algorithms as compared with benchmark user association schemes that incorporate the BH sub-problem algorithm, in terms of the total AN power, BH power, and overall network (AN plus BH) EE. The computational complexity and practical implementation of the proposed algorithms are discussed. INDEX TERMS Flow control, generalized assignment problem, Lagrangian multipliers, multiplier adjustment method, power control, subgradient, user association.

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Optimal Design of Energy- and Spectral- Efficient Wireless Backhaul Hetnets: Joint Load Balancing and Interference Management

Cited by 2 publications

References 30 publications

Weighted Tradeoff Between Spectral Efficiency and Energy Efficiency in Energy Harvesting Systems

Weighted Tradeoff Between Spectral Efficiency and Energy Efficiency in Energy Harvesting Systems

Energy Efficient User Association, Power, and Flow Control in Millimeter Wave Backhaul Heterogeneous Networks

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