為了最大化車輛到基礎設施（V2I）和車輛到車輛（V2V）傳輸速率的總和，一個妥善設計的資源共享方法往往會讓產生較少干擾的傳輸對相匹配。統計數據顯示，一個妥善設計的資源共享方案所產生的干擾會集中在一定範圍之內。該統計特徵暗示我們，當使用非均勻量化方案時，僅需要使用較少的量化位元來獲取資源共享干擾。因此，在本文之中，我們主要的目標在減少用於回傳通道狀態資訊（CSI）的管理費用，以避免由V2I 和V2V 連接之間的不正確資源共享引起任何不可容忍的干擾量。為了實現這一點，我們應用非均勻量化方法來建立通道品質指標，並試著用更少的位元數來獲取信息量最大的CSI。在傳統的干擾感知圖形(CQI)資源共享方法之中可以獲取完美的CSI。以它為基準，我們發現在一般的交通流量密度下，一個位元的CQI 可以達到相同的性能。而在不犧牲傳輸速率總合的情況下，可以顯著地節省95.5％的CSI 管理費用。

With the goal of maximizing the sum rate of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) networks, a well-designed resource-sharing scheme tends to match the ones who produce less amount of interference. The statistics also reveals that the interference incurred by a well-designed resource-sharing scheme concentrates at a certain level. This observation hints us that as the non-uniform quantization scheme is used, solely fewer quantization bits are required to capture the main characteristic of the resource-sharing interference. Thus, in this paper, we aim to reduce the overheads for reporting the channel state information (CSI) to avoid any intolerable amount of interference caused by improperly resource sharing between V2I and V2V connections. To achieve this, the non-uniform quantization method is developed to construct the channel-quality indicator (CQI) for capturing the most informative CSI using fewer bits. Taking the conventional interference-aware graph resource-sharing scheme with perfect CSI as the baseline, we find that with regular traffic density, one-bit CQI can achieve equivalent performance. That remarkably save 95.5% of CSI overheads without sacrificing the sum rate.

[1] S. Haykin and M. Moher, COMMUNICATION SYSTEMS 5th Edition, 2009.
[2] Concepts of orthogonal frequency division multiplexing (ofdm) and 802.11
wlan," 2005, http://rfmw.em.keysight.com/wireless/help les/89600b/webhelp/
subsystems/wlan-ofdm/content/ofdm basicprinciplesoverview.htm.
[3] R. Zhang, X. Cheng, Q. Yao, Y. Y. Cheng-Xiang Wang, and B. Jiao, Inter-
ference Graph-Based Resource-Sharing Schemes for Vehicular Networks," IEEE
Transactions on Vehicular Technology, vol. 62, pp. 4028{4039, October 2013.
[4] C. Campolo, A. Molinaro, A. Iera, and F. Menichella, 5G Network Slicing for
Vehicle-to-Everything Services," IEEE Wireless Communications, vol. 24, pp. 38{
45, December 2017.
[5] K. Zheng, Q. Zheng, H. Yang, L. Zhao, L. Hou, and P. Chatzimisios, Reliable and
E cient Autonomous Driving: The Need for Heterogeneous Vehicular Networks,"
IEEE Communications Magazine, vol. 53, pp. 72{79, December 2015.
[6] H. Zhou, W. Xu, Y. Bi, J. Chen, Q. Yu, and X. S. Shen, Toward 5G
Spectrum Sharing for Immersive-Experience-Driven Vehicular Communications,"
IEEE Wireless Communications, vol. 24, pp. 30{37, December 2017.
[7] L. Liang, G. Y. Li, and W. Xu, Resource Allocation for D2D-Enabled Vehicular
Communications," IEEE Transactions on Communications, vol. 65, pp. 3186{
3197, July 2017.
[8] L. Liang, J. Kim, S. C. Jha, K. Sivanesan, and G. Y. Li, Spectrum and Power
Allocation for Vehicular Communications With Delayed CSI Feedback," IEEE
Wireless Communications Letters, vol. 6, pp. 458{461, August 2017.
[9] W. Sun, E. G. Strm, F. Brnnstrm, K. C. Sou, and Y. Sui, Radio Resource Man-
agement for D2D-Based V2V Communication," IEEE Transactions on Vehicular
Technology, vol. 65, pp. 6636{6650, August 2016.
[10] X. Zhang, Y. Shang, X. Li, and J. Fang, Research on Overlay D2D Resource
Scheduling Algorithms for V2V Broadcast Service," in 2016 IEEE 84th Vehicular
Technology Conference (VTC-Fall), 2016, pp. 1{5.
[11] C.-Y. Wei, A. C. S. Huang, C.-Y. Chen, and J.-Y. Chen, QoS-Aware Hybrid
Scheduling for Geographical Zone-Based Resource Allocation in Cellular Vehicle-
to-Vehicle Communications," IEEE Communications Letters, vol. 22, pp. 610{613,
March 2018.
[12] W. Sun, D. Yuan, E. G. Strm, and F. Brnnstrm, Cluster-Based Radio Resource
Management for D2D-Supported Safety-Critical V2X Communications," IEEE
Transactions on Wireless Communications, vol. 15, pp. 2756{2769, April 2016.
[13] S. Zhang, Y. Hou, X. Xu, and X. Tao, Resource allocation in D2D-based V2V
communication for maximizing the number of concurrent transmissions," in 2016
IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile
Radio Communications (PIMRC), 2016, pp. 1{6.
[14] R. Zhang, X. Cheng, L. Yang, X. Shen, and B. Jiao, A Novel Centralized TDMA-
Based Scheduling Protocol for Vehicular Networks," IEEE Transactions on Intel-
ligent Transportation Systems, vol. 16, pp. 411{416, February 2015.
[15] B. Soret, M. G. Sarret, I. Z. Kovacs, F. J. Martin-Vega, G. Berardinelli, and N. H.
Mahmood, Radio Resource Management for V2V Discovery," in 2017 IEEE 85th
Vehicular Technology Conference (VTC Spring), 2017, pp. 1-6.