Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium

Ismail, Muhammad; Abdrabou, Atef; Zhuang, Weihua

doi:10.1109/twc.2012.121112.120148

Cited by 50 publications

(17 citation statements)

References 14 publications

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“…∀m (29) where ε 5 is a sufficiently small step size. At optimality, the radio resource allocation process terminates when all MTs have R m ≥ R min m .…”

Section: B Finding the Optimal φ Mmentioning

confidence: 99%

Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

Ismail

Gamage

Zhuang

et al. 2015

IEEE Trans. Commun.

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In this paper, energy efficient uplink communications are investigated for battery-constrained mobile terminals (MTs) with service quality requirements and multi-homing capabilities. A heterogeneous wireless medium is considered, where MTs communicate with base stations (BSs) and access points (APs) of different networks with overlapped coverage. Different from the existing works, we develop a quality of service (QoS)-based optimization framework for joint uplink bandwidth and power allocation to maximize energy efficiency for a set of MTs with multi-homing capabilities. The proposed framework is implemented in a decentralized architecture, through coordination among BSs/APs of different networks and MTs, which is a desirable feature when different networks are operated by different service providers. A suboptimal framework is presented with a reduced computational complexity as compared with the optimal framework. Simulation results demonstrate the improved performance of both the optimal and suboptimal frameworks over a state-of-the-art benchmark.Index Terms-Energy efficient communications, green communications, multi-homing resource allocation, heterogeneous wireless medium.

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“…∀m (29) where ε 5 is a sufficiently small step size. At optimality, the radio resource allocation process terminates when all MTs have R m ≥ R min m .…”

Section: B Finding the Optimal φ Mmentioning

confidence: 99%

Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

Ismail

Gamage

Zhuang

et al. 2015

IEEE Trans. Commun.

Self Cite

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“…The authors in Ref. [11] proposed a prediction based resource allocation algorithm to adapt to a dynamic environment. However, it just concerned the effect of short-term dynamics with call arrivals and departures and neglected the traffic with tidal phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Traffic characteristics based dynamic radio resource management in heterogeneous wireless networks

et al. 2014

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The traffic with tidal phenomenon in Heterogeneous Wireless Networks (HWNs) has radically increased the complexity of radio resource management and its performance analysis. In this paper, a Simplified Dynamic Hierarchy Resource Management (SDHRM) algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic. In network-level resource allocation, the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility. In connection-level network selection, based on the above resource allocation and the pre-defined QoS requirement, three typical network selection policies are provided to assign traffic flow to the most appropriate network. Furthermore, based on multidimensional Markov model, we analyse the performance of SDHRM in HWNs with heavy tailed traffic. Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.

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“…Specifically, CHT allows one to derive key network parameters such as new call/session blocking probability, handoff call/session blocking probability [2], etc. It has been widely used for the evaluation of the mobile routing strategy [3] and resource allocation [4], and models for a data charging system [5], spectrum sensing [6], and minimizing unnecessary handoffs [7], [8]. The CHT depends on UE mobility, which can be characterized by CRT, which is determined by cell size, UE speed, and movement direction.…”

mentioning

confidence: 99%

Modeling and Analysis of Channel Holding Time and Handoff Rate for Packet Sessions in All-IP Cellular Networks

Ren

Weng

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-It is essential to model channel holding time (CHT), cell residence time (CRT), and handoff rate for performance analysis and algorithm evaluation in mobile cellular networks. The problem has been extensively studied in the past for circuitswitched (CS) cellular networks. However, little research has been done on packet-switched (PS) cellular networks. Unlike that a call occupies a dedicated channel during its whole lifetime in CS networks, an active session in PS networks occupies and releases channels iteratively due to discontinuous reception (DRX) mechanism. In this paper, we investigate the key quantities in PS cellular networks. We present a set of comprehensive new models to characterize the quantities and their relationship in PS networks. The models shed light on the relationship between CHT and CRT and handoff rate. The analytical results enable wide applicability in various scenarios and therefore have important theoretical significance. Moreover, the analytical results provide a quick way to evaluate traffic performance and system design in PS cellular networks without wide deployment, which can save cost and time.Index Terms-Cell residence time (CRT), channel holding time (CHT), handoff rate, mobility, modeling and analysis, packet session.

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Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium

Cited by 50 publications

References 14 publications

Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

Traffic characteristics based dynamic radio resource management in heterogeneous wireless networks

Modeling and Analysis of Channel Holding Time and Handoff Rate for Packet Sessions in All-IP Cellular Networks

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