Priority-Based Resource Allocation Scheme

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ISSN (Online) : 2319 - 8753ISSN (Print) : 2347 - 6710International Journal of Innovative Research in Science, Engineering and TechnologyVolume 3, Special Issue 3, March 20142014 International Conference on Innovations in Engineering and Technology (ICIET’14)On 21st & 22nd March Organized byK.L.N. College of Engineering and Technology, Madurai, Tamil Nadu, IndiaPriority-Based Resource Allocation SchemeFor Scalable Video Multicast In IEEE802.16j Relay NetworksL. Mahendran#1, N. Mahendran *2#*M.E – Communication Systems, M. Kumarasamy College of Engineering, Karur, Tamilnadu, IndiaAssistant Professor, Department of ECE , M. Kumarasamy College of Engineering, Karur, Tamilnadu, IndiaAbstract— Recently, Worldwide Interoperability forMicrowave Access (WiMAX) also known as IEEE 802.16has received much attention for supporting broadbandwireless access over long distance with high Quality-ofService (QoS). The introduction of Relay Station (RS) inWiMAX is a key feature of IEEE 802.16j standard andMobile Multihop Relay (MMR) networks based on theIEEE 802.16j standard are able to extend the coveragearea as well as to provide better performance than themobile WiMAX networks (IEEE 802.16e). However,distributing the available resources among all the users isthe most common problem in WiMAX networks and itsmore complicated in IEEE 802.16j relay networks since,the resources should be allocated to both the SubscriberStations (SSs), and Relay Stations. This paper, weformulated Greedy Weighted Algorithm (GWA) whichcalculates the priority and weighted value for every userbased on the available bandwidth. The proposed algorithmcan cleverly avoid redundant bandwidth allocation issueby using this priority based bandwidth allocationmechanism and thus we achieved high networkperformance (such as increased network throughput ormaximum number of satisfied users).Keywords— WiMAX (IEEE 802.16), Quality of Service(QoS), Mobile Multihop Relay networks (MMR), RelayNetworks (IEEE 802.16j), Mobile WiMAX networks(IEEE 802.16e), Greedy Weighted Algorithm (GWA)I. INTRODUCTIONWorldwide interoperability for microwave access(WiMAX) is a standard of telecommunication technologycalled IEEE 802.16. WiMAX is an emerging last-miletechnology to provide the guaranteed bandwidth andbetter coverage to the remote rural or suburban areas [1],[2]. WiMAX (IEEE 802.16c) was first designed at 10-66GHz spectrum for Line-of-Sight (LOS) communication.Later versions (IEEE 802.16a, d, e) support Non-Line-ofSight (NLOS) communication by using the radio bandsbetween 2-11 GHz [3]. The IEEE 802.16 standardsupports three different physical layer (PHY) operationssuch as single carrier, orthogonal frequency-divisionmultiplexing (OFDM), and orthogonal frequency-divisionmultiple access (OFDMA). WiMAX works similar asWi-Fi (IEEE 802.11) does, but it is more improved andwell-organized wireless network. Wi-Fi range is up tosome hundred meters with 54 Mbps whereas WiMAX canprovide broadband wireless access in range up to 30 miles(50 kms) with maximum data rate of 70 Mbps [4], [5].Recently IEEE 802.16 has formed a task group namedIEEE 802.16j or relay networks to extend the coveragerange of IEEE 802.16e/mobile WiMAX standard. Thetypical IEEE 802.16j relay network components includeBase Stations (BSs), Relay Stations (RSs) and MobileUsers (MUs) or Subscriber Stations (SSs). IEEE 802.16jrelay networks include multihop communication byplacing the relay stations between base station and mobilestation. Generally RSs support both the uplink anddownlink to forward the data over the wireless medium. Ifthe communication takes place on behalf of relay stationthen the link between BS and RS is called as relay zoneand the link between RS to SS will act as access zone.The direct link from the BS to SS will act as a direct zone.Fig. 1 shows the general structure of WiMAX relaynetwork. Over the last decade, deployment of wirelessbroadband communication and demand for sharing themultimedia contents over wireless networks has grownM.R. Thansekhar and N. Balaji (Eds.): ICIET’14933

Priority-Based Resource Allocation scheme for Scalable Video Multicast in IEEE BSRS1Direct zoneRS2Mobile usersAccess zoneRelay zoneFig. 1. Structure of WiMAX relay networkrapidly. Multicast technology is a key technology for nextgeneration cellular networks that transmits the same datato multiple users [6]. Video coding technologies havebeen examined and developed continuously by JointVideo Team (JVT) of ISO/IEC Moving Picture ExpertsGroup (MPEG) and ITU-T Video Coding Experts Group(VCEG) [7]. The recent research is Scalable video coding(SVC), which is the extension of the H.264/AVC standardto improve the video delivery and fairness over thenetwork. SVC splits a video stream into multiplesubstreams and it has one base layer and one or multipleenhancement layers. Only base layer content is enough toachive basic quality, video resolution and frame ratewhereas, enhancement layer contents are required toprovide high quality video.In this paper we thoroughly examined the resourceallocation problems of video multicast in WiMAX relaynetworks and presented a table consulting mechanism tocarry out various performance objectives. Resourceallocation problems in WiMAX relay networks are mostcomplex as compared to mobile WiMAX because, mobileWiMAX networks only consists of BS and SSs.Otherwise we can say all the SSs are directly connectedwith BS (single hop) in mobile WiMAX, whereas inWiMAX relay networks the RSs are used to link the SSswith BS. Thus we should allocate the resources not onlyfor the SSs also to the RSs in IEEE 802.16j and this willlead to the bandwidth wastage and impractical, due to itscomputational complexities. The proposed algorithmovercomes the issues in relay networks by using the tablebased resource allocation mechanism, also this algorithmachieves maximum number of satisfied users andincreased throughput under limited bandwidth. Aweighted value for each user is calculated based on theparameters like data rate, bandwidth and number ofmobile users. These weighted values are used to findwhich SS should serve first and to determine thecorresponding serving priority.M.R. Thansekhar and N. Balaji (Eds.): ICIET’14The remaining part of the paper is organized asfollows. Section II involves the works related to theresource allocation schemes in WiMAX systems mainlyon video stream multicast. Section III proposes a resourceallocation scheme for IEEE 802.16j relay networks.Section IV presents some simulation results of theproposed algorithm. Finally, Section V states theconclusion.II. RELATED WORKScalable video transmissions over WiMAX networkhave attracted many researchers in recent years. Similar toour work, many studies aim to improve the performanceof WiMAX networks [8-15]. In [10], Hong and Kimproposed wireless switched digital video (WSDV) schemeto increase the limited wireless capacity andsimultaneously accommodating many users to watch thesame channel.The result of their model improves the spectralefficiency for mobile TV services in WiMAX networksalso it can provide an accurate estimate of the amount ofbandwidth required for WiMAX TV services. In [11],Haghani et al. explained the challenges in wirelessnetworks while transmitting the video traffic, anddiscussed some of the WiMAX networks limitations anddesign considerations, which can significantly impact thevideo quality. To improve the video quality they haveintroduced a cross-layer approach which relies on thecharacteristics of the MPEG frames and the detailed QoSclassification features at the WiMAX MAC layer.Huuskoa et al [12] proposed well-organized cross-layercommunication method and protocol architecture in orderto transmit the control information and to optimize themultimedia transmission over wireless and wired IPnetworks. Also they have illustrated how the scalablevideo transmission can be improved by use of theproposed cross-layer approach.934

Priority-Based Resource Allocation scheme for Scalable Video Multicast in IEEE Various researchers have dedicated their effortstowards improving the resource utilization of IEEE802.16e mobile WiMAX networks. The authors of [13],[14] proposed an uplink and downlink resource allocationschemes for IEEE 802.16e networks respectively. In [13]Huang et al., argued that the scheduling and resourceallocation in uplink is complicated as compared todownlink and presented an optimization-basedformulation technique. Whereas in [14] Rashid et al.,proposed a queue and channel aware scheme as aresource allocation framework to provide quality ofservice support in the downlink of an IEEE 802.16emobile WiMAX system. J. She et al. [15] concentrated onbandwidth allocation problem in mobile WiMAX (IEEE802.16e) networks. They have presented a two-levelmodulation schemes, in first level they used QPSK andBPSK (lower data modulation code) in order to transmitthe base-layer video data whereas higher datamodulations, such as 16-QAM and 64-QAM are used insecond level to transmit the enhancement layer videocontents.However, these methods cannot produce comparableperformance for WiMAX relay networks, because 1) Theresources should be allocated for both the BS and RSs inthe network, and 2) Interference problems may occur dueto RSs during the data multicast.III. PROPOSED MODELThe proposed model is concentrated on the resourceallocation problems in two-hop WiMAX relay networksas similar to the previous approaches [16-18], [20-26]. Asshown in Fig. 2, the proposed model consists of one BS,one RS and four SSs. In Fig. 2, a solid line represents thechannel quality (CQ) of the link between the BS and RSwhile dotted line represents the channel quality betweenRS and SS. DR represents the data rate required by SSs.This model consists of four modulation and codingschemes (BPSK, QPSK, 16-QAM and64-QAM). Assumethat the lower channel quality links should use highlyreliable modulation schemes. BPSK offers the highreliability among these four schemes (suitable for linkswith bad channel quality) and 64-QAM is suitable goodchannel quality links which provides the fastesttransmission rate. Assume that every SSs has its owndevice capabilities and this SSs may request the samevideo with different quality. The H.264/SVC standarddefines many video quality levels for their individualdata-rate requirements. Here the proposed systemconsiders six video quality levels 1, 1b, 1.1, 1.2, 1.3, and2 [21], and this model uses the maximum bit rate as a datarate, 64, 128, 192, 384, 768, and 2,048 kbit/s respectively.These data rates are specified for user convenience onlybut the proposed resource allocation scheme can alsooperate under any other data rates. Depending on thedevice capability the user can select a quality level. Forexample, when a user requests a video under video qualitylevel 1, the BS should guarantee a 64 kbit/s data rate tothat user, and its DR equals 64 kbit/s. In order to providedifferent data rates, the H.264/SVC splits a video streaminto one base layer and multiple enhancement layers. Forinstance, a user with the requirement of 64 kbit/s can besatisfied by receiving the base layer, whereas a user withM.R. Thansekhar and N. Balaji (Eds.): ICIET’14CQ 2SS1DR 128Kbit/sCQ 4CQ 6BSCQ 4SS2RS1CQ 4CQ 2DR 64Kbit/sSS3DR 192Kbit/sSS4DR 128Kbit/sSS5DR 64Kbit/sFig. 2. Example of proposed modelthe requirement of 128 kbit/s can be satisfied by receivingthe base layer and one enhancement layer. Resourceallocation decisions are made for each frame in IEEE802.16j relay networks. This study concentrated on thedownlink multicast problems. The downlink process canbe divided into two zones, named as an access zone and arelay zone. The BS transmits the video data to its RSs andSSs in access zone while in relay zone, the RSs furtherrelay the video data to their served SSs. The BS shouldmake a scheduling decision at the beginning of everyframe to determine the data transmissions by using anappropriate resource allocation scheme. Shannon-Hartleytheorem is used to calculate the bandwidth consumptionfor every user. This theorem states that,B C/(log 2 L)(1)Here C signifies the channel capacity of the link (inbit/s), B represents bandwidth (in Hertz), and L representsthe number of signal elements for a modulation scheme.For example, L’s value for BPSK, QPSK, 16-QAM, and64-QAM are 2, 4, 16, and 64, respectively. If SSx,y linksto the BS with QPSK has the required data-rate DRx,y is128 kbit/s, then the bandwidth required to serve the SSx,ywould be 128/ (log 2 4 ) 64k Hertz. Here the selectionof an appropriate modulation scheme is based on thechannel quality and we divide the channel quality intofour subclasses as 1, 2, 4, and 6, the correspondingmodulation schemes are BPSK, QPSK, 16-QAM, and 64QAM. The minimum bandwidth requirement B iscalculated as,𝐵𝑟𝑒𝑞 𝐷𝑅𝑥,𝑦 /𝐶𝑄𝑥 𝐷𝑅𝑥 ,𝑦 /𝐶𝑄𝑥 ,𝑦(2)Where 𝐷𝑅𝑥 ,𝑦 /𝐶𝑄𝑥 signifies the required bandwidth forfirst hop (from BS to RS) and 𝐷𝑅𝑥,𝑦 /𝐶𝑄𝑥,𝑦 signifies therequired bandwidth for second hop transmission (from RSto SS). For instance, the minimum bandwidth requirementfor SS4 in Fig. 2 is, 𝐵𝑟𝑒𝑞 𝐷𝑅4 /𝐶𝑄3 𝐷𝑅4 /𝐶𝑄3,2 128/6 128/2 85.33 𝑘𝐻𝑧. When a BS or RSmulticasts a video data, group of SSs (within the BS/RS’scoverage range) will receive the data concurrently.935

Priority-Based Resource Allocation scheme for Scalable Video Multicast in IEEE TABLE I.SERVING PRIORITY FOR NETWORK 564128/2 64kHz64/4 16kHz192/6 192/4 80kHz128/6 128/2 85.33kHz64/6 64/4 26.67kHzWeightedvalue128/4 264/16 4192/80 2.4Priority412128/85.33 1.5564/26.67 2.43TABLE II. MULTICAST TABLES(A) FOR SS2MCSBPSK(1)QPSK(2)16QAM(4)64QAM(6)(B) FOR SS1DR forRS(kbit/s)DR forBS(kbit/s)DR forRS(kbit/s)MCSDR forBS(kbit/s)00BPSK(1)00000 to 12800 to640640 to1920000QPSK(2)16QAM(4)64QAM(6)If the BS/RS multicasts the video data using the modulation scheme corresponding to its CQ, then the videocan only be received by the SSs who having the channelquality higher than or equal to the corresponding CQ.Consider the Fig. 2, If the base station multicasts thevideo by use of 64-QAM (with CQ 6) then the RS1 onlycan receive the video. On the other hand, the BS uses 16QAM (with CQ 4) then the RS1 and MS2 can receive thesame video data simultaneously.A. Proposed Resource Allocation MethodHere we have considered an IEEE 802.16 relaynetwork with a limited amount of resource and proposesan algorithm to increase the network throughput andnumber of satisfied users. Due to bandwidth limitationsall the SSs cannot be satisfied at the same time. It isimportant to determine that, which set of SSs should availthe bandwidth first and the serving priority for the sameSS should be calculated in order to improve the networkperformance. We developed an algorithm called GreedyWeighted Algorithm (GWA) which decides the set of SSsand serving priority to efficiently use the limitedbandwidth. The weighted value W for each SS is definedas the performance gain by using the bandwidth. ProposedGWA algorithm sequentially examines the SSs forbandwidth allocation based on the weighted value W indecreasing order. If one or more SSs have the sameweighted value W, then the priority to MS will be inrandom order.equivalent weighted values for all the SSs and the servingpriority has calculated and listed in Table I. Initially allthe DR fields in the multicast table is set to be zero. SS 2has the highest priority and it is analyzed first. In order tosatisfy SS2 the DR field of 16-QAM in multicast table (forBS alone) is modified from 0 to 64 Kbit/s (Table II. A).The next prioritized user is SS3 with req-uired data rate of192 Kbit/s. In previous step BS is allocated to 64 Kbit/sbut it is not enough to satisfy SS3, because it required highdata rate. So the DR field of 16-QAM is modified from 64to 192 Kbit/s in BS table. In this case the DR field for RSshould be updated because SS3 has two-hopcommunication (BS to RS1 & RS1 to SS3) thus DR for RSis modified from 0 to 192 Kbit/s in 16-QAM modulationscheme. GWA further examines SS5 and it requires only64 Kbit/s with CQ 4.Last bandwidth assignment is well enough to satisfythe SS5 because the BS and RS both have alreadyassigned more than 64 Kbit/s in 16-QAM field. Next SS1is examined, it requires 128 Kbit/s with poor channelquality (CQ 2). Even though BS has equal bandwidth(128 Kbit/s DR1) this data rate using 64-QAM cannot bereceived by SS1 due to its poor channel quality. In thisscenario, the DR field of QPSK in multicast table shouldbe updated as 128 Kbit/s with respect to the requirementof SS1 (Table II. B). Similar procedure is repeated for theremaining SSs until all SSs requests have been processed.If the available bandwidth is insufficient to satisfy any SSmeans the proposed GWA simply skips that SS andproceeds to serve the next SS.2) Increasing Number of Satisfied Users underLimited ResourceSatisfying a user is a major concern for serviceproviders and this part concentrated on increasing thenumber of satisfied users under the limited resource.TABLE I. SERVING PRIORITY FOR SATISFIED USERSUserUserxBandwidthSS11128/2 64Weighted value(Userx/B)1/64 0.015SS2164/4 161/16 0.0621SS32192/6 192/4 802/80 0.0253SS41128/6 128/2 85.331/85.33 0.0115SS5164/6 64/4 26.671/26.67 0.0372Priority4TABLE II. ALLOCATION STATUS FOR ALL MSSPriorityUserResidual bandwidth123SS2SS580-(64/4) 6464-(64/4) 4848-(128/6 128/4) -5.33 0AllocationstatusYesYesNo(48 128/6)-(128/4) 5.33Yes(5.33 128/4)-(128/2) 0No4SS3SS15SS41) Throughput Maximization Under Limited ResourceTABLE III. FINAL MULTICASTING TABLE FOR SATISFIED USERSTo increase the network throughput here we areconsidering GWA algorithm, by using the weighted valueW as throughput gain per bandwidth DR/B, where DR isthe data rate required by user and B is the amount ofbandwidth to serve the particular SS for both the first hopand the second hop. Consider the model in Fig. 2, itsM.R. Thansekhar and N. Balaji (Eds.): ICIET’14MCSBPSK(1)QPSK(2)16-QAM(4)64-QAM(6)DR for BS (kbit/s)0128640DR for RS (kbit/s)001920936

2000Throughput dwidthconsumption ratioPriority-Based Resource Allocation scheme for Scalable Video Multicast in IEEE 21.510.5054030(b)2010015253545No of SSsFig . 3 (a) Network throughput for different number of MSs and (b)Number of satisfied users for different number of MSsIn this case we define that, a user is a satisfied user whenthe data-rate requirements are fully achieved. This sectionalso using a weighted value but it is different from theprevious section. Here we define the weighted value Was, 𝑊𝑥 𝑢𝑠𝑒𝑟𝑥 /𝐵𝑥 . Where 𝑢𝑠𝑒𝑟𝑥 represents the userscount that how many users getting satisfiedsimultaneously. For example in Fig. 2, 𝑢𝑠𝑒𝑟3 2,because while satisfying SS3, SS5 also got satisfied due toits equal channel condition. Whereas, 𝑢𝑠𝑒𝑟2 1 becausewhile serving SS2, its neighbors SS1 and RS1 are havingdifferent channel quality and thus cannot be satisfiedconcurrently. Table III lists the userx, B, W and theserving priority for all the SSs.Assume that the limited bandwidth 𝐵𝑙𝑖𝑚𝑖𝑡 80 𝑘 𝐻𝑒𝑟𝑡𝑧.The proposed algorithm prioritized all the SSs based onthe W as shown in Table IV. As per the priority order SS2is examined first, the initial bandwidth (80 k Hertz) issufficient to support the DR 64 kbit/s from the BS to SS3 (80 – (64/4) 64 kHz 0 ). Hence, the DR fields of16-QAM for BS is first modified as 64 kbit/s. Next SS5 istaken and to satisfy this user we need 64 kbit/s for RS. Weadditionally need only 64/4 16𝑘𝐻𝑧 bandwidth tosupport SS5 (64 (64/4) 48 𝑘𝐻𝑧 0). While SS3 isexamined it requires 192 kbit/s, but already the BS andRS has assigned 64 kbit/s. Thus we need extra 128kbit/sto support the SS3 with channel quality of 6 for first-hoptransmission and 128 kbit/s with CQ of 4 (i.e., (48 ((128/6) (128/4)) 5.33 0). So we cannotsatisfy the SS3 with this limited bandwidth (Blimit 80KHz). The proposed GWA algorithm consecutivelyM.R. Thansekhar and N. Balaji (Eds.): ICIET’14Satisfied user-toBandwidth consumptionratioNumber of Satisfied Users505253545No of SSsNo of SSs(b)150.050.040.030.020.0101 2 3 4 5 6 7 8 9 10Bandwidth (MHz)Fig. 4 (a) Network throughput-to-bandwidth consumption ratio andUsers-to-bandwidth consumption ratioexamines SS1 and SS4 in similar manner. While servingSS1 the previous bandwidth allocation for BS isunavailable for SS1 because, it has poor channel quality.To avoid bandwidth wastage the proposed GWA reclaimsthe extra bandwidth and select the suitable bandwidth forall the users. Thus bandwidth for SS1 is reclaimed (128kbit/s with CQ 6) and multicast table is as (𝑖. 𝑒. , (48 (128/6))). After all the process, the multicast tables aredetermined and final multicast table for BS and RS isshown in Table V.IV. RESULTS AND PERFORMANCE ANALYSISThis part presents the simulation results of the proposedGWA algorithm. We used NS2 (Network Simulator 2) forsimulation analysis and the proposed WiMAX relaynetwork consists of five RSs which all are controlled bysingle BS. Initially the locations of the RSs and MSs arerandomly selected. Based on these locations the channelquality of both access links (BS to MSs or RSs to SSs) andrelay links (BS to RSs) are set as randomized manner (1, 2,4, or 6) and corresponding modulation schemes assignedto these links. The uplink and downlink bandwidthselected for simulation is 5 Mb. The channel quality ispurely based on the distance between the links fromBS/RS to RS/SS. If the distance is less, then the channelquality will be high and vice versa. The entire simulationwork is carried out by using Destination SequencedDistance Vector Protocol (DSDV) ad-hoc routing protocol.Fig. 3(a) shows the graph for network throughput fordifferent users and Fig.3 (b) plot the graph for number ofsatisfied users among selected users.937

Priority-Based Resource Allocation scheme for Scalable Video Multicast in IEEE TABLE III.THE PARAMETERS USED FOR SIMULATIONNumber of BSs1Number of RSs5Number of MSs45Packet size1000 bytesInterval0.1 msMobility modelRandom way point modelMobility rate20mModulation schemesBPSK,QPSK,16-QAM,64-QAMData rates64 kbit/s, 128 kbit/s, 192 kbit/sThis is calculated by using PDR (Packet Deliver Ratio)and number of users joined to BS. Figs. 4a and 4b showsthe graph between throughput-to-bandwidth ratio fordifferent users and number of users-to-bandwidth ratio as afunction of bandwidth respectively. While increasing theamount of bandwidth, the number of user-to-bandwidthratio decreases and the number of satisfied users increases.The parameters are listed in Table VI.V. CONCLUSIONIn this paper we concentrated on the resource allocationproblem in WiMAX relay networks. For this purpose, wehave formulated a network with single hop and two hopcommunications by use of relay stations. We haveconstructed a table consulting mechanism for an efficientresource allocation in WiMAX relay networks. By usingweighted value and priority the proposed GWA algorithmconstructs multicast tables for BS and RSs. Throughsimulation results we can conclude that the proposedGWA algorithm achieves increased throughput andmaximum number of satisfied users while increasing theamount of users.REFERENCES[1][2][3][4][5][6][7][8][9]Bo Rong, YiQian, K. Lu, H. H Chen, and M. Guizani, ―CallAdmission Control Optimization in WiMAX Networks‖ IEEETransactions on Vehicular Technology, Vol. 57, No. 4, July 2008T. Hu, Y. P. Chen, and W. Banzhaf, ―A Genetic AlgorithmicApproach to Planning IEEE 802.16 Networks‖, provided byMemorial University of newfoundland, October 2008J. Rakesh, W. Vishal, and U. Dalal, ―A Survey of Mobile WiMAXIEEE 802.16m Standard‖, International Journal of ComputerScience and Information Security, Vol. 8, No. 1, April 2010.Chakchai So-In, Raj Jain and A. 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towards improving the resource utilization of IEEE 802.16e mobile WiMAX networks. The authors of [13], [14] proposed an uplink and downlink resource allocation schemes for IEEE 802.16e networks respectively. In [13] Huang et al., argued that the scheduling and resource allocation in uplink is complicated as compared to

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proposes a resource allocation scheme for D2D communica-tion underlaying cellular network using FFR. In Section IV, we describe the simulation scenario and present the numerical results of the proposed resource allocation scheme. Finally, conclusion is given in Section V. II. PRELIMINARIES The FRF is the rate at which the same frequency can

In this paper, we propose a novel resource allocation algorithm for downlink OFDMA systems supporting both RT and NRT multimedia traffic. Unlike the conventional approaches, which decompose the resource allocation into two steps: packet scheduling and subcarrier-and-power allocation [4,11], the proposed algorithm tightly

ing dynamic resource allocation, transmission power minimization and BBU-RRH assignment in one framework. Other attempts re- garding centralized resource allocation have been previously tack- led under rate constraint such as [13-15]. Authors in [13] pre- sented a QoS-based Power Control and resource allocation in LTE Femtocell network (QP-FCRA).

Here, resource allocation is of great importance. It determines the type resource allocation and importance of various parameters based on the nature of a production system and amount, type and importance of resources. Developing a plan differs from developing a program in the issue of resource allocation in project control (Kotler,1999).

430 allocation to elianto cfd o&m 20,577.32 440 allocation to trillium west cfd o&m 27,267.00 450 allocation to west park cfd o&m 70,008.22 460 allocation to festival ranch cfd o&m 177,790.54 480 allocation to tartesso west cfd o&m 27,809.17 481 allocation to anthem sun valley cfd o&

resource and power allocation problem for a single cell network [8-10]. Moreover, low-complexity suboptimal algo-rithms are proposed to perform resource and power allocation [10]. Therefore, the optimal solution is not always guaranteed. In this paper, we formulate the joint resource and power allocation problem for multiuser OFDMA networks, as a

Agile software development therefore has a focus on: . Scrum is one of the most popular agile development methodologies. Scrum is a lightweight framework designed to help small, close-knit teams of people to create complex software products. The key features of the scrum methodology are as follows: Scrum team: A team of people using this methodology are called a “scrum”. Scrums usually .