Energy-Aware Resource Allocation for Cooperative Cellular Network Using Multi-Objective Optimization Approach (original) (raw)

Green resource allocation with QoS provisioning for cooperative cellular network

2011

Relay-based cooperative transmission in cellular network has been an area of tremendous research recently. Transmission via relays introduces power consumption at both the source and relay stations which may lead to less efficient system in terms of power consumption. Because of increasing energy cost for cellular systems and concern over environmental issues, an energy efficient design of resource allocation scheme in cooperative cellular network is of prime importance. In this paper, we propose a novel resource allocation scheme in order to maximize the energy aware system performance. The proposed low-complexity scheme allocates powers for base station and relay by using a strategy that minimizes required transmit power per unit achieved throughput and at the same time guarantees a predefined quality of service (QoS) which is specified in terms of minimum end-to-end data rate required by each user. Simulation results show that proposed scheme outperforms existing power allocation schemes by decreasing required power to guarantee the QoS without increasing system outage penalty, which is essential for green communication systems.

Joint optimization of relay strategies and resource allocations in cooperative cellular networks

IEEE Journal on Selected Areas in Communications, 2007

This paper considers a wireless cooperative cellular data network with a base station and many subscribers in which the subscribers have the ability to relay information for each other to improve the overall network performance. For a wireless network operating in a frequency-selective fading environment, the choices of relay node, relay strategy, and the allocation of power and bandwidth for each user are important design parameters. The design challenge is compounded further by the need to take user traffic demands into consideration. This paper proposes a utility maximization framework for such a network. We show that for a cellular system employing orthogonal frequency-division multiple-access (OFDMA), the optimization of physical-layer transmission strategies can be done efficiently by introducing a set of pricing variables. The proposed solution incorporates both user traffic demand and the physical channel realization in a cross-layer design that not only allocates power and bandwidth optimally for each user, but also selects the best relay node and best relay strategy (i.e. decode-and-forward vs. amplify-and-forward) for each source-destination pair.

Energy Efficiency Maximization for Cooperative and Non-cooperative OFDMA Cellular Networks – A Survey

With the increasing data rate necessity in modern cellular networks, power consumption grows continuously for network operators or mobile users. Under this scenario, negative implications arise, as for example economical and environmental, and also reduce user experience quality, as battery powered devices cannot operate for long time intervals without been charged. So, the development of energy-efficient resource allocation algorithms for modern cellular networks, as fourth generation (4G) systems, becomes a fundamental task. Since orthogonal frequency division multiple access (OFDMA) is the most popular multiple access technique for modern cellular communications, this survey provides a guideline to energy-efficient approaches for OFDMA-based systems, discussing techniques and evaluation modes for energy-efficient systems. As cooperative communication has the potential to reduce power consumption and is included as features in 4G standards, this technique is also investigated in this survey.

Relay selection and power allocation for energy-efficient cooperative cognitive radio networks

Physical Communication, 2018

In this paper, we apply the innovative multi-objective optimization methods to the challenge posed by rate maximization, total transmission power minimization and relay selection in cooperative cognitive radio networks. The proposed methods which are based on amplify and forward relaying strategy optimize the three conflicting objectives and, at same time, they maximize the rate quality, minimize the total transmission power allocated to the network relays and make the best relay node selection. The multi-objective optimization studied is a non-convex non-linear combinatorial algorithm which is converted to its convex smooth equivalent through two efficient approximation methods. We apply the multi-objective lexicographic method to overcome the challenge posed by these conflicting objectives simultaneously. The proposed relay node selection method is based on zero-norm principle which provides an effective technique to obtain a minimum node selection. Simulation results confirm that the proposed approaches offer superior performance over known schemes in terms of throughput gain and number of active relays.

Energy-efficiency maximisation for cooperative and non-cooperative OFDMA cellular networks-a survey

Transactions on Emerging Telecommunications Technologies, 2014

With the increasing data rate necessity in modern cellular networks, power consumption grows continuously for network operators or mobile users. Under this scenario, negative implications arise, as for example economical and environmental, and also reduce user experience quality, as battery powered devices cannot operate for long time intervals without been charged. So, the development of energy-efficient resource allocation algorithms for modern cellular networks, as fourth generation (4G) systems, becomes a fundamental task. Since orthogonal frequency division multiple access (OFDMA) is the most popular multiple access technique for modern cellular communications, this survey provides a guideline to energy-efficient approaches for OFDMA-based systems, discussing techniques and evaluation modes for energy-efficient systems. As cooperative communication has the potential to reduce power consumption and is included as features in 4G standards, this technique is also investigated in this survey.

Cross-Layer Energy Optimization in Cooperative Cellular Systems

International Journal

Cooperative networking is currently under standardization for future wireless cellular systems. This paper considers energy efficient transmission schemes in cooperative cellular transceiver systems. In which, we analyze how to minimize energy consumption per information bit in single link. Further, Target bit error probability, Packet length, Retransmission and Transmission distance for both coded and un coded system are considered as the performance metrics for the optimization of energy. The simulation results illustrate the effect of energy efficient modulation schemes for variable distances and fixed bit error probability. . He a senior member of professional bodies like IEEE [comsoc], ISTE, and IETE. He has published over 78 International articles. He currently serves as Editor for International Journal of Wireless Personal communication, Springer and International Journal of Wireless Networks, Springer. He guided 03 Ph.D scholars and guided 62 Master Projects. His research interests are in the areas of Wireless Communications, Signal Processing Applications and Cooperative Mobile Communications.

Optimal Energy-Efficient Power Allocation for Multiuser Relay Networks

—The rapid growth of diversified applications has led to significant increase in data traffic and energy consumption in wireless networks. Hence, the energy efficiency becomes one of critical performance indices for designing next-generation wireless networks. In this paper, an optimization framework of power allocation is investigated for maximizing energy efficiency in multiuser relay networks. Under a total power constraint, we formulate the design problem with the objective as the ratio of the spectral efficiency over the entire power consumption of the network. An optimal energy-efficient power allocation algorithm is proposed for the source and the relay nodes to approach the maximum efficiency in an iterative manner. Compared with a heuristic scheme where the total available power is equally allocated to all nodes, the proposed optimal power allocation algorithm can dramatically improve energy efficiency with a slight loss in spectral efficiency.

Energy Saving Analysis in Cellular-WLAN Cooperative Scenarios

Energy Saving Analysis in Cellular-WLAN Cooperative Scenarios

This paper addresses scenarios where cellular mobile subscribers implement a cooperative content sharing service by using short-range radio communications in a Wireless Local Area Network (WLAN), and benefit from this situation to reduce the energy consumption. A central entity acts as a coordinator by identifying the data-shares to be downloaded by each cooperating user to guarantee fairness and stability of the cooperative-download process. The intended objective is achieved by carefully modeling the energy consumption on the WLAN radio links and by exploiting the proposed model within the framework of a coalitional game triggered by the coordinator. A performance assessment analysis confirms the expected gains achievable by the cooperative group of users.

Introducing Fairness-Efficiency Trade-off for Energy Savings in Wireless Cooperative Networks

Wireless Personal Communications

The focus of this paper is on a wireless cooperative network architecture, where a group of users exploits short-range wireless links to share the costs of a cellular download. To maximize the efficiency of the communication system, an optimization of parameters such as download time, monetary cost, and energy consumption can be implemented. Following this approach different portions of data shall be assigned for download to the involved users, which will then cooperatively exchange the contents on the short-range link. However, the policy of task assignment to the user terminals has a direct influence on the payoff of the single users, raising fairness issues in real implementation scenarios. Focusing on the energy savings introduced by the wireless cooperative network, in this paper we address the fairness issue by relying on game theoretic bargaining solutions. These solutions, have intrinsic properties to nicely model the duality between fairness and efficiency in the performances. An optimal trade-off algorithm between efficiency and fairness is then introduced, allowing the service coordinator to select the most appropriate bargaining solution and energy savings allocation under different constraints on fairness.

Energy-efficient resource allocation in cooperative OFDMA systems

Proceedings of the 5th International ICST Conference on Wireless Internet, 2010

In this work we study framed transmission in an OFDMA based relayed wireless access system that utilize cooperative diversity. We consider a system of a source, a relay and a number of destination nodes, where the nodes can combine the signals coming from the source and relay. We are interested in the case that the source and relay only have the information of path loss and slow fading. The goal in resource allocation is to allocate resources (time slots, subchannels and power) in an energy efficient manner given target rates and target outage probability. Numerical results show that cooperative relaying requires significantly less energy than noncooperative relaying. Adjusting the source and relay transmission durations has a marginal effect on the performance, although it results in a significant increase in complexity.