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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 王奕翔(I-Hsiang Wang) | |
| dc.contributor.author | Jhong-Wei Luo | en |
| dc.contributor.author | 駱仲威 | zh_TW |
| dc.date.accessioned | 2021-06-15T13:52:45Z | - |
| dc.date.available | 2017-12-01 | |
| dc.date.copyright | 2015-12-01 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-09-14 | |
| dc.identifier.citation | [1] HANTeSunandKingoKobayashi.Anewachievablerateregionfortheinterference channel. IEEE transactions on information theory, 27(1):49–60, 1981.
[2] RaulH.Etkin,DavidNCTse,andHuaWang.Gaussianinterferencechannelcapacity to within one bit. Information Theory, IEEE Transactions on, 54(12):5534–5562, DEC. 2008. [3] Abolfazl Seyed Motahari and Amir Keyvan Khandani. Capacity bounds for the gaussian interference channel. Information Theory, IEEE Transactions on, 55(2): 620–643, 2009. [4] Xiaohu Shang, Gerhard Kramer, and Biao Chen. A new outer bound and the noisy- interference sum–rate capacity for gaussian interference channels. Information The- ory, IEEE Transactions on, 55(2):689–699, 2009. [5] V Sreekanth Annapureddy and Venugopal V Veeravalli. Gaussian interference net- works: Sum capacity in the low-interference regime and new outer bounds on the ca- pacity region. Information Theory, IEEE Transactions on, 55(7):3032–3050, 2009. [6] A. B. Carleial. A case where interference does not reduce capacity. Information Theory, IEEE Transactions on, 21(5):569 –570, 1975. [7] Taesang Yoo and Andrea Goldsmith. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. Selected Areas in Communications, IEEE Journal on, 24(3):528–541, 2006. [8] Quentin H Spencer, Martin Haardt, et al. Zero-forcing methods for downlink spatial multiplexing in multiuser mimo channels. Signal Processing, IEEE Transactions on, 52(2):461–471, 2004. [9] Yindi Jing and Hamid Jafarkhani. Network beamforming using relays with perfect channel information. Information Theory, IEEE Transactions on, 55(6):2499–2517, 2009. [10] Vasken Genc, Sean Murphy, Yang Yu, and John Murphy. Ieee 802.16 j relay-based wireless access networks: an overview. Wireless Communications, IEEE, 15(5): 56–63, 2008. [11] T. Cover and A.E. Gamal. Capacity theorems for the relay channel. Information Theory, IEEE Transactions on, 25:572 – 584, Sep 1979. [12] A. Avestimehr, S. Diggavi, and D. Tse. Wireless network information flow: A de- terministic approach. Information Theory, IEEE Transactions on, 57:1872 – 1905, April 2011. [13] J Kiirner and Katalin Marton. General broadcast channels with degraded message sets. IEEE Trans. Info. Theory, 23:60–64, 1977. [14] Hideki Imai and Shuji Hirakawa. A new multilevel coding method using error- correcting codes. Information Theory, IEEE Transactions on, 23(3):371–377, 1977. [15] AndrewSendonaris,ElzaErkip,andBehnaamAazhang.Usercooperationdiversity. part i. system description. Communications, IEEE Transactions on, 51(11):1927– 1938, 2003. [16] AndrewSendonaris,ElzaErkip,andBehnaamAazhang.Usercooperationdiversity. part ii. implementation aspects and performance analysis. Communications, IEEE Transactions on, 51(11):1939–1948, 2003. [17] J Nicholas Laneman, David NC Tse, and Gregory W Wornell. Cooperative diversity in wireless networks: Efficient protocols and outage behavior. Information Theory, IEEE Transactions on, 50(12):3062–3080, 2004. [18] ErikGLarsson,EduardJorswieck,etal.Competitionversuscooperationonthemiso interference channel. Selected Areas in Communications, IEEE Journal on, 26(7): 1059–1069, 2008. [19] Anders Host-Madsen. Capacity bounds for cooperative diversity. Information The- ory, IEEE Transactions on, 52(4):1522–1544, 2006. [20] O. Sahin and E. Erkip. Achievable rates for the gaussian interference relay channel. In Global Telecommunications Conference. GLOBECOM ’07. IEEE, pages 1627– 1631. IEEE, Nov. 2007. [21] O. Sahin and E. Erkip. On achievable rates for interference relay channel with in- terference cancelation. In Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on, Nov. 2007. [22] Soheil Mohajer, Suhas N Diggavi, Christina Fragouli, and David NC Tse. Approxi- mate capacity of a class of gaussian interference-relay networks. Information Theory, IEEE Transactions on, 57(5):2837–2864, 2011. [23] IvanaMaric,RonDabora,andAndreaGoldsmith.Onthecapacityoftheinterference channel with a relay. In Information Theory, 2008. ISIT 2008. IEEE International Symposium on, pages 554–558. IEEE, 2008. [24] Edward C. van der Meulen. Three-terminal communication channels. Adv. Appl. Probab., 3:120 –154, 1971. [25] Edward C. van der Meulen. A survey of multi-way channels in information theory. Information Theory, IEEE Transactions on, 23:1 – 37, Jan 1977. [26] A. El Gamal and Y. H. Kim. Network Information Theory. CambridgeUniv. Press, 2011. [27] Sung Lim, Young Han Kim, A. El Gamal, and Sae Young Chung. Noisy network coding. Information Theory, IEEE Transactions on, 57(5):3132 – 3152, May 2011. [28] Xiugang Wu and Liang Liang Xie. A unified relay framework with both d-f and c-f relay nodes. Information Theory, IEEE Transactions on, 60(1), Jan. 2014. [29] Carleial and Aydano B. Interference channels. Information Theory, IEEE Transac- tions on, 24(1):60–70, 1978. [30] J Kiirner and Katalin Marton. General broadcast channels with degraded message sets. IEEE Trans. Info. Theory, 23:60–64, 1977. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51841 | - |
| dc.description.abstract | 藉由多個傳送端相互的合作來進行管理干擾,這是目前已知用來提 升系統效能的方法之一。在本篇論文中,我們在兩對獨立的傳送端以 及接收端的干擾通道中 (Interference channel) 加入兩個中繼站 (Relay), 並且討論中繼站與傳送端之間合作的效果。當中繼站將訊息解出來再 傳輸 (Decode-and-forward) 就可以與傳送端形成一個分散式的多輸入多 輸出的通道 (MIMO) 利用成束技術 (Beamforming) 來降低系統的干擾, 或是中繼站將接收到的序列量化再傳送 (Quantized-and-forward),提升 接收端額外的信號噪音比 (SNR) 以及干擾噪音比 (INR)。更重要的是, 我們希望中繼站之間也可以像中繼站以及傳送端之間一樣的合作來更 有效地減低系統的干擾。我們計算出了可達到的傳送速率並且建構了 一個模型來分析不同情形下中繼站要使用什麼樣子的方法可以有最好 的效能。
另一方面,現實中的中繼站並不會一直服務特定的使用者或是都處 於運作的狀態,如果傳送端誤判中繼站會合作而使用較高的傳送速率 傳輸,不過事實上中繼站是關閉的,反而會造成本次的傳輸失敗和浪 費。在本篇論文中,我們也會討論在傳送端無法獲得任何有關中繼站 資訊的情況下,使用衰減訊息集合 (Degraded message set) 以及分級的 編碼方法 (Multi-level codeing scheme) 確保每次傳輸不論中繼站是否有 幫助下都可以成功而且維持一定的傳輸速率,但在有中繼站的時候可 以進一步提升系統的傳輸速率,並且推導出可以達到的傳送速率。 | zh_TW |
| dc.description.abstract | Cooperation among transmitters is one of the promising solutions to man- age interference and improve the system performance. In this thesis, a two- pairs interference channel that two relays are deployed and cooperate with two sources is studied. Relay could decode the message and forms a distributed MIMO system with sources to mitigate the interference by beamforming. On the contrary, relay would quantize the received sequence and forward the side information to improve both SNR and INR at the destination. Most impor- tantly, both relays could also cooperate each other so that the interference would be mitigate efficiently. We derive the achievable rate region and con- tribute a framework to analyze the performance of different strategies of relays according to different situation.
On the other hand, relay does not always turn on and service particular users in the practical world. The transmission will fail if source believes that relays always cooperatively transmit. Relay, however, does not turn on. Thus, we also discuss this unreliable relays interference channel that sources do not know any information about the behavior of relays. The degraded message set and multi-level coding scheme are utilized to maintain the basic data rate when relay is off and obtain higher rate when relay is on and the achievable rate region is derived. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T13:52:45Z (GMT). No. of bitstreams: 1 ntu-104-R02942120-1.pdf: 3916861 bytes, checksum: d037229da72e62f9734f89c3e1d89b6a (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | Contents
中文摘ﰀ要 i Abstract ii Contents iii List of Figures v List of Tables vii 1 Introduction 1 2 Literature Review 5 2.1 Relayingschemeforsinglerelay...................... 5 2.1.1 Decode-and-forward ........................ 7 2.1.2 Quantized-and-forward....................... 8 2.2 Relayingschemeformultiplerelays .................... 9 2.2.1 Noisynetworkcoding ....................... 9 2.2.2 Nested block structure of multiple relays channel . . . . . . . . . 10 2.3 Interferencechannel............................. 12 2.3.1 Simpledecoders .......................... 12 2.3.2 Han-Kobayashi coding scheme................... 13 2.4 Interference channel with single relay ................... 14 2.5 Opportunistic transmission using degraded message set . . . . . . . . . . 16 3 Interference Mitigation with Reliable Relays 18 3.1 Systemmodel................................ 18 3.2 DF-DF.................................... 20 3.3 DF-QF.................................... 22 3.4 QF-QF.................................... 24 3.5 HybridDF-QF ............................... 25 4 Opportunistic Interference Mitigation with Unreliable Relays 28 4.1 SystemModel................................ 28 4.2 DF-DF.................................... 31 4.3 DF-QF.................................... 36 4.4 QF-QF.................................... 41 5 Simulation result and analysis 48 5.1 Simulationmodel.............................. 48 5.2 InterferenceMitigationwithReliableRelays. . . . . . . . . . . . . . . . 50 5.2.1 Gaussianchannel.......................... 50 5.2.2 Simulationresult .......................... 51 5.3 Opportunistic Interference Mitigation with Unreliable Relays . . . . . . . 61 5.3.1 Gaussianchannel.......................... 61 5.3.2 Simulationresult .......................... 64 6 Conclusion 66 A Opportunistic transmission using degraded message set 67 B Hybrid DF and QF coding scheme 71 References 78 | |
| dc.language.iso | zh-TW | |
| dc.subject | 干擾通道 | zh_TW |
| dc.subject | 多中繼站通道 | zh_TW |
| dc.subject | 不穩􏰃 | zh_TW |
| dc.subject | 定中繼站通道 | zh_TW |
| dc.subject | 成束技術 | zh_TW |
| dc.subject | 干擾管理 | zh_TW |
| dc.subject | Unreliable relay channel | en |
| dc.subject | Interference management | en |
| dc.subject | Beamforming | en |
| dc.subject | Relay interference channel | en |
| dc.subject | Multiple relays channel | en |
| dc.title | 中繼系統協助之干擾管理: 含兩中繼站於兩用戶干擾通道之研究 | zh_TW |
| dc.title | Relay-aided Interference Mitigation: the study of two users interference channel with two relays | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林士駿,黃昱智 | |
| dc.subject.keyword | 干擾通道,多中繼站通道,不穩􏰃,定中繼站通道,成束技術,干擾管理, | zh_TW |
| dc.subject.keyword | Relay interference channel,Multiple relays channel,Unreliable relay channel,Beamforming,Interference management, | en |
| dc.relation.page | 81 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-09-14 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位: | 電信工程學研究所 | |
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