D2D Communication Underlaying LTE Cellular Network

Hussain, Faisal; Hassan, MD. Yeakub

dc.contributor.author	Hussain, Faisal
dc.contributor.author	Hassan, MD. Yeakub
dc.date.accessioned	2017-10-25T09:53:32Z
dc.date.available	2017-10-25T09:53:32Z
dc.date.issued	2016-11-20
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dc.identifier.uri	http://hdl.handle.net/123456789/94
dc.description	Supervised By MD. Sakhawat Hossen Assistant Professor Department of Computer Science and Engineering Islamic University of Technology	en_US
dc.description.abstract	Device-to-Device (D2D) communication underlaying cellular network, introduced in LTE-Advance, is a very promising feature. Using this feature user equipments (UEs) can communicate directly where in traditional cellular communication, all UEs need to communicate via base station. UEs in close proximity can act as D2D pair and communi- cate reusing the Resource Blocks (RBs) of existing cellular network infrastructure. This D2D communication is supervised by eNodeB (Base station in LTE) and the supervising eNodeB is also responsible for the allocation of RBs for the D2D pairs. This thesis is concerned with the resource allocation algorithm aiming di erent goals like maximize the total system capacity, minimizing total interference etc. These resource allocation algorithm will be used by the supervising eNodeB to allocate appropriate RBs to the D2D pairs (shared with existing cellular UE) to attain the goals satisfying certain quality of service (QoS) requirements. There are three approaches depending on the degree of sharing namely \One to One Sharing", \One to Many Sharing" and \Many to Many Sharing" approaches for \max- imization of sum rate" and each of the existing algorithms follows one of these. This thesis book proposes algorithm for each of the approaches and shows the comparison analysis. Among these, algorithm for \One to One Sharing" and \One to Many Sharing" approaches is optimal which is theoretically proved.	en_US
dc.language.iso	en	en_US
dc.publisher	IUT, CSE	en_US
dc.title	D2D Communication Underlaying LTE Cellular Network	en_US
dc.type	Thesis	en_US