Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation

被引:10
作者
Karakus, Can [1 ]
Diggavi, Suhas [1 ]
机构
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
D2D; opportunistic scheduling; multiuser MIMO; ISM bands; user cooperation; SCHEDULING POLICIES; WIRELESS; COMMUNICATION; OPTIMIZATION; INFORMATION; CHANNELS; CAPACITY;
D O I
10.1109/TWC.2017.2712649
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose a cellular architecture that combines multiuser MIMO downlink with opportunistic use of unlicensed Industrial, Scientific, and Medical Radio (ISM) bands to establish device-to-device (D2D) cooperation. The architecture consists of a physical-layer cooperation scheme based on forming downlink virtual MIMO channels through D2D relaying, and a novel resource allocation strategy for such D2D-enabled networks. We prove the approximate optimality of the physical-layer scheme, and demonstrate that such cooperation boosts the effective SNR of the weakest user in the system, especially in the many-user regime, due to multiuser diversity. To harness this physical-layer scheme, we formulate the cooperative user scheduling and the relay selection problem using the network utility maximization framework. For such a cooperative network, we propose a novel utility metric that jointly captures fairness in throughput and the cost of relaying in the system. We propose a joint user scheduling and relay selection algorithm, which we prove to be asymptotically optimal. We study the architecture through system-level simulations over a wide range of scenarios. The highlight of these simulations is an approximately 6x improvement in data rate for cell-edge (bottom fifth-percentile) users (over the state-of-the-art) while still improving the overall throughput, and considering various system constraints.
引用
收藏
页码:5616 / 5629
页数:14
相关论文
共 36 条
[1]  
[Anonymous], 36843 TR 3GPP
[2]  
[Anonymous], 25996 TR 3GPP
[3]  
[Anonymous], 2006, RESOURCE ALLOCATION
[4]  
[Anonymous], 2012, WORLDS 1 5G WIFI 802
[5]   SOME COMPLEXITY RESULTS ABOUT PACKET RADIO NETWORKS [J].
ARIKAN, E .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1984, 30 (04) :681-685
[6]  
Asadi A., 2013, Proceedings of the 16th ACM international conference on Modeling, analysis simulation of wireless and mobile systems, P279, DOI DOI 10.1145/2507924.2507929
[7]   A Survey on Device-to-Device Communication in Cellular Networks [J].
Asadi, Arash ;
Wang, Qing ;
Mancuso, Vincenzo .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (04) :1801-1819
[8]   Wireless Network Information Flow: A Deterministic Approach [J].
Avestimehr, A. Salman ;
Diggavi, Suhas N. ;
Tse, David N. C. .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (04) :1872-1905
[9]   PROBLEMS OF ADAPTIVE OPTIMIZATION IN MULTICLASS M/GI/1 QUEUES WITH BERNOULLI FEEDBACK [J].
BHATTACHARYA, PP ;
GEORGIADIS, L ;
TSOUCAS, P .
MATHEMATICS OF OPERATIONS RESEARCH, 1995, 20 (02) :355-380
[10]   The Requirements, Challenges, and Technologies for 5G of Terrestrial Mobile Telecommunication [J].
Chen, Shanzhi ;
Zhao, Jian .
IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (05) :36-43