QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks

Singh, Keshav; Gupta, Ankit; Ratnarajah, Tharmalingam

doi:10.1109/tsipn.2017.2662620

Cited by 20 publications

(16 citation statements)

References 33 publications

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“…The subcarrier spacing and thermal noise density are given by 12 kHz and −174 dBm/Hz. Further, the static power dissipation for user nodes and relay nodes is taken as 10 mW [7] and 0.1 mW [5], [34]. Also, power harvesting and conversion efficiency is set as η = 0.4.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Let the number of power levels that taken by eachP m S k and P n R j be denoted by Q. Moreover, the complexity of updating the dual variables is O((2KJ ) ), where = 2 if the ellipsoid method is used [7]. Also, let the dual objective function in (DP1), the dual function for (OP2b) and the penalty factor Ψ converge in Z, Z and Z iterations.…”

Section: Complexity Analysismentioning

confidence: 99%

“…Therefore, cooperative communications and SWIPT technique can benefit one another by overcoming the drawbacks of the other, such as, SWIPT technique can provide the relay nodes with the required power for its operation in exchange of ubiquitous coverage, augmented throughput and ameliorated link dependability [6]. Moreover, the amplify-and-forward (AF) relaying is widely preferred over decode-and-forward (DF) relaying due to its lower implementation complexity [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Gupta

Singh

Sellathurai

2019

IEEE Trans. on Green Commun. Netw.

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In this paper, an energy efficiency maximization (EEM) optimization problem for the multiuser multicarrier energy-constrained amplify-and-forward (AF) multi-relay network is formulated under the total source transmit power budget and energy-causality constraints. We consider that each relay node is solely powered by the source nodes, employing energy harvesting time-switching (EHTS) protocol to harvest the energy through the ambient radio-frequency (RF) signal transmitted from the source nodes under the simultaneous wireless information and power transfer (SWIPT) paradigm. First, we propose a subcarrier and energy causality-based multi-relay selection policy. Second, we jointly optimize the parameters that control the energy efficiency (EE) of the system namely multi-relay selection, subcarrier pairing, user allocation, power allocation, and RF EHTS time block, that renders the problem to be a mixed integer non-linear programming problem (MINLP) which remains NP-hard to solve. Hence, we remodel the problem to a tractable quasi-concave form by applying a string of convex transformations. Later, we propose an iterative EEM algorithm to optimize the multi-parameter problem. Further, a suboptimal and best relay selection algorithm is studied by trading-off between complexity and performance. The effectiveness of the proposed algorithms is demonstrated by simulation results.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Gupta

Singh

Sellathurai

2019

IEEE Trans. on Green Commun. Netw.

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“…Furthermore, Zhou et al [3] propose an optimal cross-layer based asymmetric resource allocation taking into account the maximum delay threshold, minimum data rate requirement and zero overflow. The energy efficiency of relaying networks is considered by [4]. In [4], the joint resource allocation problem with QoS requirement is formulated as a nonconvex binary mixed-integer nonlinear programming.…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks

Wang

Zhao

2019

IEEE Access

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In this paper, we investigate the joint resource allocation for the non-orthogonal multiple access (NOMA)-enhanced relaying networks involving the subcarrier pair, subcarrier-user assignment, as well as power allocation. In the NOMA-enhanced relaying networks, the relay is capable of communicating with multiple users on one subcarrier using the NOMA technology. To maximize the system throughput, the joint resource allocation problem is formulated as a mixed-integer nonlinear programming problem, which is difficult to tackle in general. Furthermore, there is strong coupling between the subcarrier-user assignment and the power allocation due to the multiuser interference in the NOMA system. To reduce the complexity, we separate the joint resource allocation problem as two subproblems in terms of the subcarrier assignment (subcarrier pair and subcarrier-user assignment) and power allocation, respectively. In particular, we propose a subcarrier assignment scheme based on the simulated annealing algorithm to optimize the subcarrier pair and subcarrier-user assignment with the fixed power allocation. Then, the power allocation problem is transformed as a difference of convex functions programming problem, and the sequence convex programming method is adopted to solve it. The simulation results illustrate that the proposed algorithm can effectively improve the system throughput.

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“…EE has become a significant design criterion for wireless communication systems [17][18][19]. The broad-scale antenna arrays equipped at the base station (BS) cause the power consumption to increase in massive MIMO systems, and the energy consumed by wireless communications is responsible for greenhouse gas emissions [20], which motivates the need to design energy-efficient systems [8,21,22].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

et al. 2019

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We study the energy efficiency (EE) optimization problem in non-orthogonal unicast and multicast transmission for massive multiple-input multiple-output (MIMO) systems with statistical channel state information of all receivers available at the transmitter. Firstly, we formulate the EE maximization problem. We reduce the number of variables to be solved and simplify this large-dimensional-matrix-valued problem into a real-vector-valued problem. Next, we lower the computational complexity significantly by replacing the objective with its deterministic equivalent to avoid the high-complex expectation operation. With guaranteed convergence, we propose an iterative algorithm on beam domain power allocation using the minorize maximize algorithm and Dinkelbach’s transform and derive the locally optimal power allocation strategy to achieve the optimal EE. Finally, we illustrate the significant EE performance gain of our EE maximization algorithm compared with the conventional approach through conducting numerical simulations.

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QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks

Cited by 20 publications

References 33 publications

Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks

Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

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