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IEEE Wireless Communications and Networking Conference

Secrecy Throughput of ANECE Assisted Transmission of Information in Finite Blocklength

Ishmam Zabir, Ananthram Swami, Yingbo Hua

Published Apr 10, 2022• 1 citation
Publisher

Abstract

Anti-eavesdropping channel estimation (ANECE) among two or more cooperative full-duplex radio devices allows these devices to obtain consistent estimates of their receive channel state information (CSI) with respect to each other but at the same time prevents eavesdropper (Eve) from obtaining a consistent estimate of its receive CSI, which improves the secrecy of subsequent transmission of information between the devices. This paper presents an analysis of secrecy throughput of ANECE assisted transmission of information between such single-antenna devices against Eve with multiple antennas. The analysis is based on finite blocklength coding and assumes that Eve applies a standard approach for information detection. Easy-to-compute analytical expressions of secrecy throughput in terms of various controllable parameters are obtained. Numerical results are presented and discussed.

DOI
10.1109/wcnc51071.2022.9771782

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Anti-eavesdropping channel estimation (ANECE) among two or more cooperative full-duplex radio devices allows these devices to obtain consistent estimates of their receive channel state information (CSI) with respect to each other but at the same time prevents eavesdropper (Eve) from obtaining a consistent estimate of its receive CSI, which improves the secrecy of subsequent transmission of information between the devices. This paper presents an analysis of secrecy throughput of ANECE assisted transmission of information between such single-antenna devices against Eve with multiple antennas. The analysis is based on finite blocklength coding and assumes that Eve applies a standard approach for information detection. Easy-to-compute analytical expressions of secrecy throughput in terms of various controllable parameters are obtained. Numerical results are presented and discussed.
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This paper examines the role of full-duplex radio for securing wireless network from a new perspective. It first studies the secrecy capacity of two single-antenna full-duplex users against a multi-antenna eavesdropper (Eve) who has the perfect knowledge of the channel state information (CSI) from users to Eve. It is shown that if Eve uses a basic matched-filtering, the probability of zero secrecy (or outage) can be made small by a large jamming power from both users and a small gain of residual self-interference (RSI) power. But if Eve uses the optimal matched-filtering, the probability of outage grows rapidly as either the jamming power from the users increases or the number of antennas on Eve increases, regardless of the RSI gain. To prevent any Eve from obtaining its CSI, this paper then proposes a novel anti-eavesdropping channel estimation (ANECE) method, which allows users to obtain their own CSI while keeping all Eves in handicap. This method also prevents Eves from colluding with each other at any layer. The design of ideal pilots for ANECE for multiple multi-antenna users and multiple broadband multi-antenna users is discussed. It is also shown that the capacity of Eve with any number of antennas but without its CSI can be virtually eliminated over a time window corresponding to the number of antennas at the transmitter for each realization of the CSI.
Anti-eavesdropping channel estimation (ANECE) is useful for a network of cooperative full-duplex radio devices/users. Using ANECE, a secret key can be generated by each pair of users, and additional secret information can be transmitted between a pair of users. This paper analyzes the capacity of the secret key based on ANECE, and compares it with the conventional method for channel training. The paper also analyzes the secrecy capacity of information transmission using an one-way scheme, and compares it with a two-way scheme. It is shown that the total amount of secrecy generated from ANECE can be substantially larger than that based on the conventional method especially when an eavesdropper may have an unlimited number of antennas. The paper also formulates a total secure degree of freedom (TSDoF) of the ANECE based scheme, and compares it with a prior scheme of secret information transmission from a multi-antenna node to another against a multi-antenna eavesdropper where channel state information is unknown everywhere initially. The comparison shows that there is a substantial gain of TSDoF by exploiting full-duplex radios and reciprocal channels via ANECE. Most of the key insights are highlighted in twelve proven properties.
This paper presents secrecy analyses of a full-duplex MIMOME network which consists of two full-duplex multi-antenna users (Alice and Bob) and an arbitrarily located multi-antenna eavesdropper (Eve). The paper assumes that Eve's channel state information (CSI) is completely unknown to Alice and Bob except for a small radius of secured zone. The first part of this paper aims to optimize the powers of jamming noises from both users. To handle Eve's CSI being unknown to users, the focus is placed on Eve at the most harmful location, and the large matrix theory is applied to yield a hardened secrecy rate to work on. The performance gain of the power optimization in terms of maximum tolerable number of antennas on Eve is shown to be significant. The second part of this paper shows two analyses of anti-eavesdropping channel estimation (ANECE) that can better handle Eve with any number of antennas. One analysis assumes that Eve has a prior statistical knowledge of its CSI, which yields lower and upper bounds on secure degrees of freedom of the system as functions of the number (N) of antennas on Eve and the size (K) of information packet. The second analysis assumes that Eve does not have any prior knowledge of its CSI but performs blind detection of information, which yields an approximate secrecy rate for the case of K being larger than N.
Anti-eavesdropping channel estimation (ANECE) is a method that uses specially designed pilot signals to allow two or more full-duplex radio devices each with one or more antennas to estimate their channel state information (CSI) consistently and at the same time prevent eavesdropper (Eve) with any number of antennas from obtaining its CSI consistently. This paper presents optimal designs of the pilots for ANECE based on two criteria. The first is the mean squared error (MSE) of channel estimation for the users, and the second is the mutual information (MI) between the pilot-driven signals observed by the users. Closed-form optimal pilots are shown under the sum-MSE and sum-MI criteria subject to a symmetric and isotropic condition. Algorithms for computing the optimal pilots are shown for general cases. Fairness issues for three or more users are discussed. The performances of different designs are compared.
This paper reviews the basic principles of prior methods for the purpose of wireless anti-eavesdropping channel estimation (ANECE), and highlights their major shortcomings and limitations such as failure for carrier synchronization without a pilot and limited transmission range of a full-duplex radio. This paper also proposes and analyses a new scheme of ANECE using multi-antenna half-duplex radios. This new scheme consists of three phases of transmissions between two radio nodes (Alice and Bob). In phase 1, Bob sends out a pilot via one of his antennas so that Alice can carry out carrier synchronization and channel estimation. In phase 2, Alice sends out a pilot via one of her antennas so that Bob can carry out carrier synchronization and channel estimation. In phase 3, perfectly synchronized with phase 2, Alice applies transmit beamforming and sends out a stream of information via all her other antennas. This new scheme of ANECE for multi-antenna half-duplex radios is derived from an ANECE design for antenna-isolation based full-duplex radios.