Survey on Optimization Techniques used for Resource Allocation in Wireless Communication System (original) (raw)
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IJERT-A Study On Resource Allocation Aspects For Wireless Networks
International Journal of Engineering Research and Technology (IJERT), 2012
https://www.ijert.org/a-study-on-resource-allocation-aspects-for-wireless-networks https://www.ijert.org/research/a-study-on-resource-allocation-aspects-for-wireless-networks-IJERTV1IS9495.pdf Resource allocation is one of the most challenging tasks in the wireless networks. Many schemes exist in literature to allocate the available resources to users. Different schemes employ different algorithms to allocate the subcarrier, bits, data rate, transmit power, bandwidth etc. to different users in the network while satisfying the desired constraints posed by the users like utility maximization, power reduction, throughput maximization and so on. Adaptive modulation is also used in order to effectively handle the network resources. In this paper, some of the existing resource allocation schemes and their performance is discussed.
Resource Allocation for Cellular Radio Systems
1997
High terminal tra c densities are expected in urban multiuser radio systems. An e cient allocation of resources is the key to high system capacity. In this paper a distributed dynamic resource allocation(DDRA) scheme based on local signal and interference measurements is proposed for multi-user radio networks. It o ers "soft capacity", for time division multiple access (TDMA) and frequency division multiple access (FDMA) systems, bounded above by N per base station, where N is the total number of channels in the system.
Optimal resource allocation In base stations for mobile wireless communications
2018
Telecommunications provides a rich source of interesting and often challenging optimisation problems. This thesis is concerned with a series of mixed-integer non-linear optimisation problems that arise in mobile wireless communications systems. The problems under consideration arise when mobile base stations have an Orthogonal Frequency-Division Multiple Access (OFDMA) architecture, where there are subcarriers for data transmission and users with various transmission demands. In such systems, we simultaneously allocate subcarriers to users and power to subcarriers, subject to various constraints including certain quality of service (QoS) constraints called rate constraints. These problems can be modelled as Mixed Integer Non-linear Programmes (MINLP). When we began the dissertation, we had the following main aims: To design an exact algorithm for the subcarrier and power allocation problem with rate constraints (SPARC), the objective of which is to maximise total data transmission r...
Energy efficient resources allocations for wireless communication systems
TELKOMNIKA Telecommunication Computing Electronics and Control, 2019
The energy consumption level of the telecommunication process has become a new consideration in resource management scheme. It is becoming a new parameter in the resource management scheme besides throughput, spectral efficiency, and fairness. This work proposes a power control scheme and user grouping method to keep the rational energy consumption level of the resource management scheme. Inverse water-filling power allocation is a power allocation scheme that optimizes the energy efficiency by giving the power to the user which have good channel conditions. The user grouping method becomes the solution for carrier aggregation (CA) scheme that prevents edge cell user get the resources from the high-frequency carrier. This can prevent energy wastage in the transmission process. This power control scheme and user grouping method can optimize the spectral and energy efficiency without increasing the time complexity of the system.
Resource allocation schemes for next generation wireless communication systems
2012
Recent studies have indicated that spectrum scarcity in nex t generation wireless networks is inevitable due to the surge of mobile communication usage which offers the capability of instant access to users’ data and multimedia content a nywhere anytime. Demand of mobile data traffic is found to have doubled within a year, a nd is expected to grow by 15 times in about five years. Fulfilling such mounting deman d with the limited radio resources is a huge challenge for next generation wireless c ommunication systems. Moreover, meeting the diverse quality of service (QoS) requirem ents of various types of user applications is indispensable. To tackle these challenges and to improve the spectral efficiency, radio resource management needs to be optimized for vari us novel systems such as relay-based cooperative transmission technique and opp ortunistic spectral utilization using cognitive radio (CR) technology. In addition to spectra l efficiency, effective resource allocation methods ...
2016
Mobile communication standards are growing up day by day and improvements in the wireless technology environment leads to increase the number of user requirements. As per that many types of research are going to provide an effective and user-friendly network to the end user. This paper presents a novel downlink resource allocation scheme for OFDMA-based next generation wireless networks subject to inter-cell interference (ICI). The scheme consists of radio resource and power allocations, which are implemented separately. Low-complexity heuristic algorithms are rest proposed to achieve the radio resource allocation, where graph-based framework and fine physical resource block (PRB) assignment are performed to mitigate major ICI and hence improve the network performance. Simulation results indicate that our proposed scheme can achieve significantly balanced performance improvement between cell-edge and cell-center users in multi-cell networks compared with other schemes. Also, it is v...
RADIO RESOURCES MANAGEMENT IN MOBILE CELLULAR NETWORKS
This paper presents a c omparison of channel allocation schemes for mobile c ellular networks. Three schemes have been evaluated: Fixed Channel Allocation (FCA), Dynamic Channel Allocation (DCA) and Channel Allocation with Space a nd Time Variations (CA STV). The third scheme uses information about mobile users profiles for getting adaptability to traffic fluctuations. Results were obtained u sing a simulation environment for mobile c ellular networks called CELSA, which implements a user mobility model based on personal, space a nd time characteristics. The results provide insight into the e fficiency of taking into account the mobile users personal profiles, the c urrent cell characteristics and the time of the day in the channel allocation algorithm.
Transmission scheduling for efficient wireless utilization
2001
We present an "opportunistic" transmission scheduling policy that exploits time-varying channel conditions and maximizes the system performance stochastically under a certain resource allocation fairness constraint. We establish the optimality of the scheduling scheme and also describe a practical scheduling procedure to implement our scheme. Through simulation results, we show that the scheme also works well for nonstationary scenarios and results in performance improvements of ¢ ¤ £ -¥ § ¦ ¤ £ © compared with a scheduling scheme that does not take into account channel conditions. Furthermore, we note that in wireless networks, an important role of resource allocation is to balance the system performance and fairness among "good" and "bad" users. We propose three heuristic timefraction assignment schemes, which approach the problem from different viewpoints.
PeerJ, 2021
Background. Wireless links are fast becoming the key communication mode. However, as compared to the wired link, their characteristics make the traffic prone to timeand location-dependent signal attenuation, noise, fading, and interference that result in time varying channel capacities and link error rate. Scheduling algorithms play an important role in wireless links to guarantee quality of service (QoS) parameters such as throughput, delay, jitter, fairness and packet loss rate. The scheduler has vital importance in current as well as future cellular communications since it assigns resource block (RB) to different users for transmission. Scheduling algorithm makes a decision based on the information of link state, number of sessions, reserved rates and status of the session queues. The information required by a scheduler implemented in the base station can easily be collected from the downlink transmission. Methods. This paper reflects on the importance of schedulers for future wireless communications taking LTE-A networks as a case study. It compares the performance of four well-known scheduling algorithms including round robin (RR), best channel quality indicator (BCQI), proportional fair (PF), and fractional frequency reuse (FFR). The performance of these four algorithms is evaluated in terms of throughput, fairness index, spectral efficiency and overall effectiveness. System level simulations have been performed using a MATLAB based LTE-A Vienna downlink simulator. Results. The results show that the FFR scheduler is the best performer among the four tested algorithms. It also exhibits flexibility and adaptability for radio resource assignment.