scholarly journals Resource Allocation in Heterogeneous Wireless Networks

2019 ◽  
pp. 56-83
Author(s):  
Chetna Singhal ◽  
Swades De
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Wireless Networks ◽  
Network Capacity ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Wireless Access Networks ◽  
Broadband Wireless ◽  
Capacity Spectrum ◽  
Resource Allocation Schemes ◽  
Data Requirements

The advent of heterogeneous broadband wireless access networks (BWANs) has been to support the ever-increasing cellular networks' data requirements by increasing capacity, spectrum efficiency, and network coverage. The focus of this chapter is to discuss the implementation details (i.e., architecture and network components), issues associated with heterogeneous BWANs (i.e., handovers, network selection, and base station placement), and also the various resource allocation schemes (i.e., shared resource allocation in split handover and inter-RAT self-organizing networks) that can improve the performance of the system by maximizing the network capacity.

Resource Allocation in Heterogeneous Broadband Wireless Access Networks

2014 ◽  
pp. 51-76
Author(s):  
Chetna Singhal ◽  
Swades De
Keyword(s):  
Resource Allocation ◽  
Base Station ◽  
Access Networks ◽  
Spectrum Efficiency ◽  
Wireless Access ◽  
Broadband Wireless Access ◽  
Wireless Access Networks ◽  
Broadband Wireless ◽  
Capacity Spectrum ◽  
Broadband Wireless Access Networks

The advent of heterogeneous Broadband Wireless Access Networks (BWANs) has been to support the ever increasing cellular networks' data requirements by increasing capacity, spectrum efficiency, and network coverage. The focus of this chapter is to discuss the implementation details (i.e. architecture and network components), issues associated with heterogeneous BWANs (i.e. handovers, network selection, and base station placement), and also the various resource allocation schemes (i.e. shared resource allocation in split handover and inter-RAT self-organizing networks) that can improve the performance of the system by maximizing the capacity of users.

scholarly journals Energy-Efficient Resource Allocation for NOMA-based Backscatter Communications

2020 ◽  
Author(s):  
Yongjun Xu ◽  
Zhijin Qin ◽  
Guan Gui
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Power Efficiency ◽  
Multiple Access ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Quadratic Transformation ◽  
Backscatter Communication ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Backscatter communication (BackCom) is a promising technique for achieving high spectrum efficiency and power efficiency in the future Internet of Things systems. The capacity of BackCom networks can be maximized by optimizing the backscatter time and the reflection coefficient (RC). However, system energy efficiency (EE) cannot be guaranteed usually. In this paper, we investigate the energy-efficient resource allocation problem of a non-orthogonal multiple access (NOMA)-based BackCom. Particularly, the base station (BS) transmits signals to two cellular users based on the NOMA protocol, meanwhile, a backscatter device backscatters the signals to users using the passive radio technology. The total EE of the considered system is maximized by jointly optimizing power allocation for each NOMA user and the RC of backscatter device where the decoding order and the quality of service (QoS) of each user are guaranteed. To solve such a non-convex problem, we develop an efficient iterative algorithm to obtain the optimal solutions by using Dinkelbach's method and the quadratic transformation approach. Numerical results show that the proposed algorithm can significantly improve the system EE compared with the orthogonal multiple access (OMA) scheme and the NOMA system without backscatter devices.

scholarly journals Joint Radio Resource Allocation and Base Station Location Selection in OFDMA Based Private Wireless Access Networks for Smart Grid

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Peng Du ◽  
Yuan Zhang
Keyword(s):  
Resource Allocation ◽  
Smart Grid ◽  
Base Station ◽  
Access Networks ◽  
Wireless Access ◽  
Radio Resource Allocation ◽  
Wireless Access Networks ◽  
Radio Resource ◽  
Target Problem ◽  
Location Selection

This paper studies the base stations deployment problem in orthogonal frequency-division multiple access (OFDMA) based private wireless access networks for smart grid (SG). Firstly, we analyze the differences between private wireless access networks for SG and public cellular access networks. Then, we propose scheduling and power control based algorithms for the radio resource allocation subproblem and K-means, simulated annealing (SA), and particle swarm optimization (PSO) based algorithms for the base station (BS) location selection subproblem and iterate over these two sets of algorithms to solve the target problem. Simulation results show that the proposed method can effectively solve the target problem. Specifically, the combination of power control based resource allocation algorithm and PSO based location selection algorithm is recommended.

Interference Aware Resource Allocation in Relay Enhanced Broadband Wireless Access Networks

2013 ◽  
pp. 18-46
Author(s):  
Preetha Thulasiraman
Keyword(s):  
Resource Allocation ◽  
Bandwidth Allocation ◽  
Network Performance ◽  
Wireless Access Networks ◽  
Routing Metric ◽  
Broadband Wireless ◽  
Fair Bandwidth Allocation ◽  
Future Challenges ◽  
Allocation Algorithms

First, a novel interference aware routing metric for multipath routing considering both interflow and intraflow interference will be discussed. Second, in order to ensure quality of service (QoS), an interference aware max-min fair bandwidth allocation algorithm is addressed using lexicographic ordering and optimization. A comparison among various interference based routing metrics and interference aware bandwidth allocation algorithms established in the literature is shown through simulation results derived from NS-2 and CPLEX. It is shown that the proposed interference aware resource allocation framework improves network performance in terms of delay, packet loss ratio, and bandwidth usage. Lastly, future challenges and emerging research topics and opportunities are outlined.

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