On the performance of randomized power control algorithms in multiple access wireless networks

Behzad, A.; Rubin, I.; Hsu, Jimmy

doi:10.1109/wcnc.2005.1424594

Cited by 9 publications

(6 citation statements)

References 15 publications

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“…Power control methods for multiple-hop interference channels were studied in [35]. In [36], power control schemes for multiple access (MAC) channels were proposed. Paper [37] proposed a new exponential power allocation scheme in the one-side interference channel relay network, whose nodes transmit signals by an exponential function of the maximum transmitted power with an exponential power allocation coefficient.…”

Section: Related Workmentioning

confidence: 99%

Power Control for SISO Interference Channel Networks Based on Successive Convex Approximation

Mao¹,

Yu²,

Dong³

et al. 2020

Preprint

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Interference channel (IC) is a classical model used to characterize the effect of interference for many real-life communication systems. In this paper, we consider a sum rate maximization problem subject to maximum power restriction at each transmitter for a single-input single-output (SISO) IC network. The considered power control problem is typically a nonconvex problem which is hard to solve directly. We propose a solving algorithm for this power control problem based on successive convex approximation (SCA). Specifically, we first reformulate the original nonconvex objective function as the difference of two concave (D.C.) functions near a given point in the feasible region of the solution space. After that, we construct a convex substitute function for the D.C. objective by approximating its second concave function with the one-order Taylor expansion. The problem is further reformulated as an unconstrained problem by transforming the constraints as a barrier function. This unconstrained problem is then solved iteratively using Newton's method. We update the substitute function given the newly obtained solution, near which the one-order Taylor expansion is performed again. This process is then repeated until a smooth point is reached. Simulation results show the effectiveness of the proposed SCA-based power control algorithm.

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Section: Related Workmentioning

confidence: 99%

Power Control for SISO Interference Channel Networks Based on Successive Convex Approximation

Mao¹,

Yu²,

Dong³

et al. 2020

Preprint

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“…They enhanced their random TPC approach by combining it with inter-path interference cancellation [31] and with frequency-domain equalization [32]. Behzad et al [33] introduced the Fair Randomized Power Control (FRPC) algorithm to increase throughput while providing fairness for different mobile users in the system. In [34] the authors presented a stochastic analysis of randomized transmit power compared with fixed power control in a singlefrequency CDMA network.…”

Section: Random Transmit Powersmentioning

confidence: 99%

Random Transmit Power Control for DSRC and its Application to Cooperative Safety

Kloiber

Härri

Strang

et al. 2016

IEEE Trans. Dependable and Secure Comput.

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Cooperative safety applications require Dedicated Short-Range Communications (DSRC) to provide position-awareness of neighboring vehicles at a specific level of reliability, i.e. awareness-quality, up to a given distance, i.e. awareness-range. However, heavy communication loads negatively impact such awareness requirements due to communication impairments, ranging from strict capacity limitations of DSRC channels to correlated packet collisions due to periodic communication patterns. Transmission control strategies may adapt power or rate to control such impairments but risk missing the requirements of cooperative safety applications. In this paper, we design a new awareness control strategy by implementing a spatial awareness framework. Specifically, we adapt the distribution of the awareness-quality as a function of the awareness-range. Therefore, we first propose Random Transmit Power Control (RTPC), which manages to provide different levels of awareness-quality at different ranges, while mitigating correlated packet collisions by randomizing them in space. As RTPC is able to reduce the channel load, we secondly propose to combine RTPC with Transmit Rate Control (TRC) and to benefit from the gained channel resources by subsequently increasing the update-rate and by implication, the quality of position-awareness. The spatial awareness control capability of RTPC+TRC has been evaluated through simulations. We discuss the influence of RTPC+TRC on cooperative safety applications exemplarily for the Forward Collision Warning (FCW) application.

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“…This reduces energy consumption and increases spectral utilization efficiency; (ii) client nodes are not required to engage in MIMO-type (multipath combining oriented) operations, enabling the efficient operation of smaller user equipment, such as sensors and handheld smart phone platforms. A wide range of schemes have been proposed to find the optimal link scheduling with power control for unicasting in spatial-TDMA networks [8][9][10]. Adaptive power control has been utilized by energy-aware multicasting schemes to synthesize a multicast structure that minimizes the total energy cost [11,12].…”

Section: Introductionmentioning

confidence: 99%

Joint scheduling and power control for multicasting in cellular wireless networks

Rubin

Tan

Cohen

2012

J Wireless Com Network

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We consider a cellular wireless network. Our aim is to develop adaptive-power scheduling algorithms that enable area base stations to coordinate, on a time-division basis, the transmission of multicast packets to identified client nodes, for scenarios under which a prescribed code rate is employed. Such mechanisms can be implemented by 4G long term evolution (LTE) systems using multimedia broadcast multicast services (MBMS), meshed WiFi networks, or mobile backbone based ad hoc wireless networks. We show that the joint scheduling and power control problem can be represented as a mixed-integer linear programming model, which is NP-hard. Consequently, we present three heuristic algorithms of polynomial complexity for solving the problem in a practical manner. For small network layouts, our centralized heuristic algorithm is shown to achieve a throughput rate performance that is close to that attained by the optimal scheme. All three of our heuristic algorithms are shown to yield excellent throughput rate performance behavior. The use of power adaptations, when compared with fixed transmit power operations, leads to enhanced throughput rate performance while also lowering communications energy consumption levels. Comparisons with LTE MBMS over single frequency network based schemes have shown our algorithms to offer enhanced spectral efficiency performance, while providing high client coverage.

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On the performance of randomized power control algorithms in multiple access wireless networks

Cited by 9 publications

References 15 publications

Power Control for SISO Interference Channel Networks Based on Successive Convex Approximation

Power Control for SISO Interference Channel Networks Based on Successive Convex Approximation

Random Transmit Power Control for DSRC and its Application to Cooperative Safety

Joint scheduling and power control for multicasting in cellular wireless networks

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