Resource allocation in OFDMA networks based on interior point methods

Mehrjoo, Mehri; Moazeni, Somayeh; Shen, Xuemin

doi:10.1002/wcm.838

Cited by 21 publications

(15 citation statements)

References 26 publications

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“…However, the system consists of a single user, and the user's QoS requirements are not considered. In addition, resource allocation for the downlink of OFDMA based relay assisted networks is studied in [3], [8], [9]. However, these schemes may not be suitable for allocating resources for the uplink, as downlink resource allocation schemes use a single total power constraint for all the users.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Decode-and-Forward Relay Assisted Networks with Service Differentiation

Alam

Gamage

Mark

et al. 2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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Quality of service (QoS) aware resource allocation for the uplink of a decode-and-forward relay assisted Orthogonal Frequency Division Multiple Access (OFDMA) based cellular system is investigated. Incorporating relays in the system improves the cell-edge coverage and the system throughput. Resource (relay, subcarrier and power) allocation problem is formulated with the objective of maximizing the total system throughput subject to the satisfaction of user QoS requirements and individual total power constraints of the users and relays. The throughput of each end-to-end link is modeled considering both the direct and relay links. Due to non-convex nature of the original resource allocation problem, the optimal solution is obtained by solving a relaxed problem via two level dual decomposition. The performance of the proposed scheme is evaluated in the scenarios based on LTE-A network model. Numerical results reveal that the proposed scheme guarantees each user's QoS satisfaction at the expense of a slight degradation of the system throughput.

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Section: Introductionmentioning

confidence: 99%

Resource Allocation for Decode-and-Forward Relay Assisted Networks with Service Differentiation

Alam

Gamage

Mark

et al. 2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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“…As one of the most promising techniques adopted in LTE-A systems, Carrier Aggregation (CA) [3] allows scalable bandwidth extension via aggregating multiple smaller band segments, each called a Component Carrier (CC), into a wider virtual frequency band to achieve higher transmission rates and spectral efficiency. Although a CA-based LTE-A system is based on the Orthogonal Frequency Division Multiple Access (OFDMA) technology [4]- [6], it has its own unique characteristics. For example, instead of subcarriers in OFDMA systems, the minimum bandwidth allocation unit in an LTE-A system is Resource Block (RB), which is composed of 12 consecutive subcarriers [7]; moreover, cross-CC load balancing and scheduling enabled by CA [8] open a door for further optimizing the overall system resource utilization.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer carrier selection and power control for LTE-A uplink with Carrier Aggregation

Zhang

Miao

Zheng

et al. 2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Long Term Evolution-Advanced (LTE-A) standard with Carrier Aggregation (CA) is emerging as a promising technology for 4G mobile communication systems to fulfill tremendous growth of high-data-rate demand. However, in LTE-A systems with CA, the uplink Radio Resource Management (RRM) performance is greatly limited by the insufficient user transmission power and the infamous power offset effects. In this paper, we design a cross-layer carrier selection and power control strategy for LTE-A uplink with CA to improve the average user throughput, while dealing with the above limitations. Specifically, we first propose a novel estimation method to effectively predict the average bandwidth that a newly admitted user can obtain from each carrier. The time-variability of carrier load conditions is carefully taken into account. Then, an optimal carrier subset and power allocation values are determined for each arrived user to improve the average user throughput by solving a user-powerutilization maximization problem, with considering the user power constraints and offset effects. Extensive simulations validate the effectiveness of the estimation method and demonstrate that the proposed cross-layer strategy can achieve higher average user throughput compared with the existing approach.

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“…For example, [24] investigates the maximization of absolute fairness and [25] takes into account each individual user's QoS requirement. [26], [28] employ the network utility maximization (NUM) framework to trade off throughput and fairness by maximizing a utility function which is a concave and increasing function of data rates.…”

Section: Joint Power and Subchannel Allocation With Fairness Concernmentioning

confidence: 99%

“…For example, [23] provides a sum capacity maximization scheme while [24], [25] proposes algorithms to consider fairness of the system. [26]- [28] investigate resource allocation to balance both throughput and fairness by maximizing a utility function. These algorithms either iteratively search for the joint resource allocation or decompose the joint allocation into separate processes where a uniform power distribution is assumed when allocating subcarriers.…”

Section: Introductionmentioning

confidence: 99%

Joint Subcarrier and Power Allocation for Cooperative Communications in LTE-Advanced Networks

Zhang

Shen

Xie

2014

IEEE Trans. Wireless Commun.

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Abstract-This paper considers an LTE-Advanced cooperative cellular network where a Type II relay station (RS) is deployed to enhance the cell-edge throughput and to extend the coverage area. To better exploit the existing resources, the RS and the eNodeB (eNB) transmit in the same channel (In-Band) with decode-and-forward relaying strategy. For such a network, this paper proposes joint Orthogonal Frequency Division Multiplexing (OFDM) subcarrier and power allocation schemes to optimize the downlink multi-user transmission efficiency. Firstly, an optimal power dividing method between eNB and RS is proposed to maximize the achievable rate on each subcarrier. Based on this result, we show that the optimal joint resource allocation scheme for maximizing the overall throughput is to allocate each subcarrier to the user with the best channel quality and to distribute power in a water-filling manner. Since QoS provision is one of the major design objectives in cellular networks, we further formulate a lexicographical optimization problem to maximize the minimum rate of all users while improving the overall throughput. A sufficient condition for optimality is derived. Due to the complexity of searching for the optimal solution, we propose an efficient, low-complexity suboptimal joint resource allocation algorithm, which outperforms the existing suboptimal algorithms that simplify the joint design into separate allocation. Both theoretical and numerical analyses demonstrate that our proposed scheme can drastically improve the fairness as well as the overall throughput.

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Resource allocation in OFDMA networks based on interior point methods

Cited by 21 publications

References 26 publications

Resource Allocation for Decode-and-Forward Relay Assisted Networks with Service Differentiation

Resource Allocation for Decode-and-Forward Relay Assisted Networks with Service Differentiation

Cross-layer carrier selection and power control for LTE-A uplink with Carrier Aggregation

Joint Subcarrier and Power Allocation for Cooperative Communications in LTE-Advanced Networks

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